Interview intelligence tools are new to the market. These solutions utilize AI and genAI (content creation) capabilities to transcribe video interviews and create concise summaries for each candidate. These tools also enhance interviewing skills by offering guidance and coaching at all stages - before, during, and after the interview. As a result, these tools promote fairness by providing better objective insight and feedback rather than relying on inadequate interviewer notes and memory. In addition, it can streamline and improve overall hiring process by automating scheduling, providing comprehensive reports and integrating with other HCM applications.
Gartner defines the application programming interface (API) management market as the market for software to manage, govern and secure APIs. Organizations use APIs to modernize their architectures; APIs provide access to systems, services, partners and data services. API management software enables organizations to plan, deploy, secure, operate, version control and retire APIs, regardless of their size, region or industry.
Accounts payable invoice automation (APIA) tools automate the capture, validation and processing of invoices. These solutions attempt to automatically match invoices to purchase orders (POs) and contracts, or automatically code those invoices that would not have a PO. Payment management, ranging from OK to pay to complete invoice payment, is also included. The expanded scope of APIA includes advanced capabilities, such as automated multiway matching, fraud detection and cash management.
Active metadata management is a set of capabilities that enables continuous access and processing of metadata that support ongoing analysis over a different spectrum of maturity, use cases and vendor solutions. Active metadata outputs range from design recommendations based upon execution results and reports of runtime steps through, and indicators of, business outcomes achieved. The resulting recommendations from those analytics are issued as design inputs to humans or system-level instructions that are expected to have a response.
Analytics and business intelligence platforms — enabled by IT and augmented by AI — empower users to model, analyze and share data. Analytics and business intelligence (ABI) platforms enable organizations to understand their data. For example, what are the dimensions of their data — such as product, customer, time, and geography? People need to be able to ask questions about their data (e.g., which customers are likely to churn? Which salespeople are not reaching their quotas?). They need to be able to create measures from their data, such as on-time delivery, accidents in the workplace and customer or employee satisfaction. Organizations need to blend modeled and nonmodeled data to create new data pipelines that can be explored to find anomalies and other insights. ABI platforms make all of this possible.
The supply chain A&DI technology market spans capabilities that provide different types of analytics, focusing on predictive and prescriptive ones. Many of these offerings have been enhanced with AI and DSML capabilities to support supply chain decision making. These capabilities could either be part of a broader supply chain application/suite or a separate encompassing A&DI platform. Such a platform consists of existing and emerging technologies, including: Graph technology, Advanced analytics, AI, DSML, Model development & Digital supply chain twin (DSCT).
Reviews for 'Application Development, Integration and Management - Others'
'Application integration platforms enable independently designed applications, apps and services to work together. Key capabilities of application integration technologies include: • Communication functionality that reliably moves messages/data among endpoints. • Support for fundamental web and web services standards. • Functionality that dynamically binds consumer and provider endpoints. • Message validation, mapping, transformation and enrichment. • Orchestration. • Support for multiple interaction patterns, content-based routing and typed messages.
Application platforms provide runtime environments for application logic. They manage the life cycle of an application or application component, and ensure the availability, reliability, scalability, security and monitoring of application logic. They typically support distributed application deployments across multiple nodes. Some also support cloud-style operations (elasticity, multitenancy and self-service).
The application portfolio management (APM) discipline monitors the business, technical and cost fitness of the application portfolio. It uses factual information and analysis, allowing objective and transparent decisions. Its main objective is to identify, prioritize and propose opportunities to improve the portfolio. Opportunities include replacements, migration, modernization, consolidation and decommissioning. APM tools support the people, processes and information of the APM IT discipline to discover, monitor, analyze and visualize the fitness of the application portfolio and provide recommendations for improvement.
Asset Performance Management (APM) is a market of software tools and applications for optimizing operational assets (such as plants, equipment and infrastructure) essential to the operation of an enterprise. Organizations invest in APM tools and technologies to reduce unplanned repair work, increase asset availability, minimize maintenance costs and reduce the risk of failure for critical assets. These products can also improve an organization's ability to comply with regulations that prescribe how assets are inspected and maintained. APM uses data capture, integration, visualization and analytics to improve operations and maintenance timing, and to identify which maintenance and inspection activities to perform on mission-critical assets.
Internal auditors play the critical role of being the third line of defense. When risk owners and management do not identify risk or adequately mitigate the risk, it is imperative for the internal auditors to provide independent and objective insight on risk. The audit management solutions market caters to this need by automating internal audit operations through its primary and secondary offerings. Audit management solutions help manage the complexity of the auditor's role, not the organization's risk.
Gartner defines augmented data quality (ADQ) solutions as a set of capabilities for enhanced data quality experience aimed at improving insight discovery, next-best-action suggestions and process automation by leveraging AI/machine learning (ML) features, graph analysis and metadata analytics. Each of these technologies can work independently, or cooperatively, to create network effects that can be used to increase automation and effectiveness across a broad range of data quality use cases. These purpose-built solutions include a range of functions such as profiling and monitoring; data transformation; rule discovery and creation; matching, linking and merging; active metadata support; data remediation and role-based usability. These packaged solutions help implement and support the practice of data quality assurance, mostly embedded as part of a broader data and analytics (D&A) strategy. Various existing and upcoming use cases include: 1. Analytics, artificial intelligence and machine learning development 2. Data engineering 3. D&A governance 4. Master data management 5. Operational/transactional data quality
B2B gateway software is integration middleware that supports information exchange between your organization and its ecosystem trading partners, applications and endpoints. BGS consolidates and centralizes data and process integration and interoperability between a company's internal applications and external endpoints, such as business partners, SaaS or ecosystems. The BGS market is a composite market that includes pure-play BGS solutions and BGS that is embedded or combined with other IT solutions (for example, ESB suites that support BGS features as services connected to the ESB suite, integration brokerage services, e-invoicing software and networks, application platform suites, electronic data interchange [EDI] translators, and managed file transfer [MFT] technology).
Gartner defines B2B marketing automation platforms (B2B MAPs) as software applications that support demand generation processes at scale. B2B MAPs help marketers capture and qualify leads and accounts, orchestrate marketing-driven engagement across the full customer journey, and use analytics to optimize and measure performance. B2B MAPs enable marketers to automate a wide range of activities intended to drive new customer acquisition, retention and growth. To support the pursuit of new commercial opportunities (from current or prospective customers), marketers use B2B MAPs to generate, prioritize, and manage leads and buying teams across the revenue life cycle. This includes the distribution of marketing-generated and qualified leads to sales teams for further pursuit.
Gartner defines the CRM Customer Engagement Center market as a cohesive set of software built around core case management tools, used to provide customer service and support by engaging with customers, while intelligently orchestrating the processes, data, systems, and resources of an organization. CEC applications offer workflow management capabilities and may be used as a system of record for customer interactions. The orchestration of customer service and support processes through a CEC application involves both assisted and self-service moments within customer journeys. It is built around case management records and processes. Workflow is an important CEC component, in terms of an organization being able to orchestrate the processing of customer engagements for the best outcomes in an effortless, effective and timely way. In addition to case, workflow, and knowledge management, personalization and enrichment of customer engagements are crucial.
Gartner defines customer management and experience solutions as part of business support systems (BSS) solutions for CSPs, and as commercial off-the-shelf software solutions that address CSPs’ all customer-facing operational requirements. This includes managing customer channels, customer information, incidents, products, pricing, quotes and offers, order and partner management. CM&X solutions often work together with revenue management and monetization solutions as part of a complete BSS stack.
Category management solutions allow category managers to create and monitor their midterm to long-term sourcing by enabling strategic management of categories in procurement and supply chain processes. They optimize category performance, enhance supplier relationships, and improve cost efficiencies. The key features include spend analysis, strategic sourcing, supplier management, contract tracking, and analytics. These solutions empower data-driven decision-making, identify cost-saving opportunities, and align category strategies with organizational goals, ultimately driving operational excellence and value delivery.
Gartner defines cloud AI developer services (CAIDS) as cloud-hosted or containerized services and products that enable software developers who are not data science experts to use artificial intelligence (AI) models via APIs, software development kits (SDKs) or applications. Core capabilities include automated machine learning (autoML) including automated data preparation, automated feature engineering and automated model building, and model management and operationalization for language, vision and tabular use cases. Optional and important complementary capabilities include AI code models and assistants. Cloud AI developer services help organizations embed intelligence, such as AI and ML insights, into their applications. While that is what cloud AI developer services offer, it is more important to note how they accomplish this. These services democratize and increase the availability of AI and ML to software engineers through the automation and features offered. Traditional activities regarding data acquisition, data quality, feature engineering, algorithm selection and model training are augmented by the technology. Cloud AI developer services open up a world of possibilities for software engineers to build AI and ML production capabilities and features for enterprise-built applications.
Gartner defines cloud application platforms as those that provide managed application runtime environments for applications and integrated capabilities to manage the life cycle of an application or application component. They typically enable distributed application deployments and support cloud-style operations — such as elasticity, multitenancy and self-service — without requiring infrastructure provisioning or container management. Cloud application platforms are designed to facilitate the deployment, runtime execution, and management of modern cloud-native or cloud-optimized applications (e.g., web-based apps, back-end services with/without APIs, etc.) without the need to manage any underlying compute infrastructure. Also, they are designed to enhance developer productivity, accelerate development and deployment cycles, and increase operational effectiveness by making it easier to scale on demand.
Gartner defines the market for cloud database management systems (DBMSs) as the market for software products that store and manipulate data and that are primarily delivered as software as a service (SaaS) in the cloud. Cloud DBMSs may optionally be capable of running on-premises, or in hybrid, multicloud or intercloud configurations. They can be used for transactional work and/or analytical work. They may have features that enable them to participate in a wider data ecosystem. Must-have capabilities for this market include: Availability as SaaS on provider-managed public or private cloud systems; Management of data within cloud storage — that is, cloud DBMSs are not hosted in infrastructure as a service (IaaS), such as in a virtual machine or a container managed by the customer.
Gartner defines cloud enterprise resource planning (ERP) for product-centric enterprises as a market for application technology that supports the automation of operational and financial activities for the manufacturing, distribution, delivery and servicing of goods. Cloud ERP for Product-Centric Enterprises is delivered under a SaaS license model with frequent updates and where application support and infrastructure is the responsibility of the vendor.
Gartner defines a service-centric cloud ERP solution as a suite that is marketed and sold as an integrated product that provides at least three of the following: Financial management system (FMS) functionality, including general ledger, accounts payable (AP), accounts receivable (AR) and financial planning. Order-to-cash (O2C) functionality, ranging from configure, price and quote (CPQ) to cash collection activities. Source-to-pay (S2P) functionality, which must cover at least e-sourcing, contract life cycle management, e-purchasing, AP invoice automation, supplier management, collaboration and payments. Human capital management (HCM) functionality, which must cover at least administrative HR capabilities, such as core HR data management, employee life cycle transactions and position management. Other administrative ERP functionality, to support typical service-centric activities, such as extended planning and analysis (xP&A), project management (for project-centric capabilities), service procurement and real estate lease management. In addition, Gartner defines the market for cloud ERP for service-centric enterprises as serving organizations that typically focus on service (nonproduct) industries, including: Professional services Healthcare Software Media Financial services Telecommunications Nonprofit sectors Real estate
Cloud xP&A is a platform-centric enterprise planning strategy to extend financial planning and analysis (FP&A) with multidiscipline planning capabilities that are packaged, marketed and sold as an integrated operational planning solution. xP&A solutions must include a cohesive, composable, data-harmonized vendor platform that can accommodate emerging technologies, horizontal functional and vertical-specific solutions for their target market(s)
Gartner defines cloud HCM suites for 1,000+ employee enterprises as cloud application suites that deliver functionality for attracting, developing, engaging, retaining and managing employees. Cloud HCM suites for 1,000+ employee enterprises are designed to support transactions and/or analytical processing for more than one of the following use cases within a single integrated solution
Gartner defines cloud HCM suites for regional and/or sub-1,000 employee enterprises as cloud application suites that deliver functionality for attracting, developing, engaging, retaining and managing workers. HCM suites encompass functionality that supports a variety of HR-related processes
Gartner defines configure, price and quote (CPQ) applications as software that enables sales organizations to automate and optimize the creation of quotes and capture of orders. A CPQ application is a sales tool that captures the new goods and services a customer wants to buy or the changes a customer wants to make to existing goods and services. While generally focused on assisted sales channels, CPQ capabilities such as product configuration and pricing must be shared with the self-service commerce channel. The new purchases and changes must be priced and a binding contract must be formed with the customer before sending an order to downstream fulfillment systems.
Gartner defines contract life cycle management (CLM) market as a solution that proactively manages contracts from initiation through negotiation, execution, compliance and renewal. In this context, a contract is any agreement or contractual document containing rights and obligations that affect an organization now or in the future (e.g., a nondisclosure agreement). CLM solutions allow organizations to create, negotiate and store contracts in a centralized repository. Using these solutions helps mitigate organizational risk by enabling regulatory and policy compliance, providing governance over what is signed and with whom, and role-based access to terms and obligations with third parties. CLM solutions drive visibility, consistency and efficiency in the contracting process across an enterprise. Use cases are primarily aligned to parts of the process, such as presignature and postsignature. Different departments often prioritize a certain use case based on their involvement in the contracting process.
Corporate Compliance and Oversight (CCO) tools provide the framework and support for standardization of compliance activities and automation to increase efficiency and effectiveness of compliance management programs. CCO enables a common cross-enterprise approach to IT compliance activities that most affect the regulatory oversight of corporate governance. This is done through support of the five major requirements for managing a compliance program: policy development, aggregation and normalization, control monitoring, workflow management, and case management.
Corporate learning technologies help organizations train, develop, engage and analyze their learners. They help organizations with compliance, certifications, onboarding, talent development, upskilling, collaboration, coaching and mentoring, sales training, partner education, and customer training.
Corporate Travel Management Software empowers organizations to streamline the process of arranging travels and managing all travel-related expenses while complying with corporate travel policies. The software allows employees to book, manage and track trips without the intervention of any specialist agents. These trips can be approved and reimbursed by the administrators through an automated approval workflow. Organizations use software to create travel data reports as well as to gain insights to control and optimize their travel spend. The functionality of the software is also extended to tracking and consolidating historical travel invoices.
Gartner defines customer data platforms (CDPs) as software applications that support marketing and customer experience use cases by unifying a company’s customer data from marketing and other channels. CDPs optimize the timing and targeting of messages, offers and customer engagement activities, and enable the analysis of individual-level customer behavior over time. The purpose of a CDP is to centralize data collection and unify customer data from disparate sources into profiles. CDPs enable marketers to create and manage segments and push those segments to priority channels without requiring coding or use of advanced querying techniques. While CDPs originated to serve marketing use cases, interest from data management roles, IT and other customer-facing roles (e.g. sales, service and support) is on the rise. Digital marketing leaders have long used a variety of systems to design, orchestrate and measure multichannel campaigns. While many of those systems also manage customer-level data and audiences for targeting, they do so in a way that makes both data governance and orchestration across channels (and across competitive vendor solutions) a challenge. CDPs aim to address that challenge by collecting and unifying disparate customer data in a centralized location accessible to marketers. The CDP is not a substitute for an enterprise’s master data management, but it can ensure that customer profile data, transactional events and analytic attributes are available to marketing when needed for real-time interactions.
Reviews for 'Customer Relationship Management - Others'
Gartner defines data integration as the discipline comprising the architectural patterns, methodologies and tools that allow organizations to achieve consistent access and delivery of data across a wide spectrum of data sources and data types to meet the data consumption requirements of business applications and end users. Data integration tools enable organizations to access, integrate, transform, process and move data that spans various endpoints and across any infrastructure to support their data integration use cases. The market for data integration tools includes vendors that offer a stand-alone software product (or products) to enable the construction and implementation of data access and data delivery infrastructure for a variety of data integration use cases.
Data preparation is an iterative and agile process for finding, combining, cleaning, transforming and sharing curated datasets for various data and analytics use cases including analytics/business intelligence (BI), data science/machine learning (ML) and self-service data integration. Data preparation tools promise faster time to delivery of integrated and curated data by allowing business users including analysts, citizen integrators, data engineers and citizen data scientists to integrate internal and external datasets for their use cases. Furthermore, they allow users to identify anomalies and patterns and improve and review the data quality of their findings in a repeatable fashion. Some tools embed ML algorithms that augment and, in some cases, completely automate certain repeatable and mundane data preparation tasks. Reduced time to delivery of data and insight is at the heart of this market.
Gartner defines a data science and machine learning platform as an integrated set of code-based libraries and low-code tooling that support the independent use by, and collaboration between, data scientists and their business and IT counterparts through all stages of the data science life cycle. These stages include business understanding, data access and preparation, experimentation and model creation, and sharing of insights. They also support machine learning engineering workflows including creation of data, feature, deployment and testing pipelines. The platforms are provided via desktop client or browser with supporting compute instances and/or as a fully managed cloud offering. Data science and machine learning (DSML) platforms are designed to allow a broad range of users to develop and apply a comprehensive set of predictive and prescriptive analytical techniques. Leveraging data from distributed sources, cutting-edge user experience, and native machine learning and generative AI (GenAI) capabilities, these platforms help to augment and automate decision making across an enterprise. They provide a range of proprietary and open-source tools to enable data scientists and domain experts to find patterns in data that can be used to forecast financial metrics, understand customer behavior, predict supply and demand, and many other use cases. Models can be built on all types of data, including tabular, images, video and text for applications that require computer vision or natural language processing.
Data virtualization technology is based on the execution of distributed data management processing, primarily for queries, against multiple heterogeneous data sources, and federation of query results into virtual views. This is followed by the consumption of these virtual views by applications, query/reporting tools, message-oriented middleware or other data management infrastructure components. Data virtualization can be used to create virtualized and integrated views of data in-memory, rather than executing data movement and physically storing integrated views in a target data structure. It provides a layer of abstraction above the physical implementation of data, to simplify querying logic.
Reviews for 'Data and Analytics - Others'
A D&A governance platform is a set of integrated business capabilities that helps business leaders and users evaluate and implement a diverse set of governance policies and monitor and enforce those policies across their organizations’ business systems. These platforms are unique from data management and discrete governance tools in that data management and such tools focus on policy execution, whereas these platforms are used primarily by business roles — not only or even specifically IT roles.
Gartner defines a digital adoption platform (DAP) as software that overlays employee- and customer-facing applications with in-application guidance to drive adoption, proficiency and engagement. It supports digital transformation by streamlining and accelerating how employees or customers learn and engage with technologies. It provides consistent experiences that help users complete work efficiently across multiple applications. In addition, DAP analytics provide actionable insights to improve experience, optimize work and adoption/utilization, boosting the ROI of applications.
Gartner defines digital commerce as the technology that enables customers to purchase goods and services through an interactive and self-service or assisted experience. The platform provides necessary information for customers to make their buying decisions and uses rules and data to present fully priced orders for payment. The commerce product must support interoperability with customer data, product content (e.g., price, availability) and order functionality and data via APIs. Digital commerce is commonly delivered as single or multitenant SaaS, or as single-tenant hosted or managed hosted (PaaS) applications. It could be offered for on-premises implementations in some circumstances. Digital commerce enables customers to purchase goods and services through an interactive and self-service or assisted experience, providing the necessary information for customers to make buying decisions.
Diversity Equity and Inclusion technology tools help organizations promote diversity and inclusivity in the workplace by providing data-driven insights, promoting diverse candidate sourcing, eliminating unconscious biases, and automating diversity initiatives. These tools include reporting and analytics capabilities to track diversity metrics and monitor progress over time, promoting diversity in the hiring and recruitment process, employee engagement programs, D&I training, and automated compliance tracking and reporting for diversity-related laws and regulations. The goal of these tools is to help organizations create a more diverse and inclusive workforce culture and ensure compliance with diversity and inclusion-related laws and regulations by integrating artificial intelligence, data analytics, and other advanced technologies to support these objectives. Predominant users include HR managers, recruitment professionals, hiring managers, and Human Resource departments looking to promote DEI initiatives in the workplace.
E-sourcing applications enable organizations to organize, solicit and evaluate requests for information (RFIs) and requests for proposals (RFPs) from suppliers. These applications enable competitive bidding where the outcome is typically a long-term agreement. Most e-sourcing applications also support reverse auction capabilities. Some applications enable large-scale complex bid events with thousands of line items and awards spanning multiple suppliers.
Reviews for 'ERP and Corporate Management - Others'
Email marketing is the use of the email channel to deliver and optimize marketing messages — such as brand newsletters or contextually relevant, real-time and personalized communications — in support of engagement across the customer journey. Email service providers often bolster their technology platforms with supplementary managed services to improve the value and scalability of the email channel.
Gartner defines employee performance management (PM) systems as applications used to establish, manage and evaluate progress toward employee performance expectations. These features include support for goal setting and cascade, competency models, ongoing bidirectional feedback, performance evaluation, and performance calibration. Performance management systems facilitate the central set of processes that organizations, HR departments and managers use to manage the activities of employees. The most popular use cases include: - Enable goal setting, cascade and management. The technology has matured to enable goal (or objective) setting, cascading and management for most use cases. - Allow continuous bidirectional and peer feedback. PM systems allow organizations to determine the frequency, content structure and visibility of feedback given and received by many users throughout the performance cycle. - Deliver performance evaluation documents and workflows. The core functionality of a PM system is in delivering performance evaluation documents through organizationally defined workflows, including employee self-reviews, manager reviews and approvals.
Gartner defines the market for Enterprise Architecture Tools as tools that allow organizations to examine both the need for, and the impact of, change. They allow users to capture the interrelationships and interdependencies within and between an ecosystem of partners, operating models, capabilities, people, processes, information, and applications and technologies. They provide a central repository to capture data and metadata about the artifacts that an enterprise cares about, and their related life cycles. Models represent the relationships between these artifacts and are themselves treated as assets that help describe and shape the future of the enterprise. EA tools provide a means to model the business and IT aspects of the enterprise in support of business outcome delivery. Doing so requires the collaboration of multiple stakeholders across the organization — each playing a different role at a different time. The models and methods used by the stakeholders will vary depending on their role and must be integrated and connected to other models to be useful. To support these needs, EA tools have two aspects. The first provides a modeling environment, along with a supporting repository. The second facilitates collaboration between a diverse group of stakeholders across the organization, right from business strategy to IT. A broad array of architectural and IT disciplines, such as business, information, solution, security, applications and infrastructure use EA tools. EA tools operate at many levels and across a wide spectrum to enable insights and support informed decision making. With such a broad array of stakeholders, EA tools must also facilitate their consumption of, and contribution to, the information contained within the repository. As they undertake their work, these users switch between an ever-expanding set of views and visual representations of the datasets contained in the repository.
Enterprise asset management (EAM) is a business application used most comprehensively by asset-intensive industries to execute, track and optimize inspections, maintenance and repair of industrial plants and equipment. Examples of these industries are heavy discrete and process manufacturing industries, oil and gas, rail, and power and utilities. An alternative term used for EAM is “computerized maintenance management system” (CMMS), which is generally considered to be small-scale, single-site applications with less functionality around parts management and resource scheduling.
EBPA is a comprehensive approach toward business and process modeling aimed at transforming and improving business performance with an emphasis on cross-viewpoint (strategy, analysis, architecture, automation), cross-functional analysis to support strategic and operational decisions.
Gartner defines enterprise low-code application platforms (LCAPs) as platforms for accelerated development and maintenance of applications, using model-driven tools for the entire application’s technology stack, generative AI and prebuilt component catalogs. Enterprise LCAPs target software engineering teams responsible for custom application development and maintenance. Enterprise LCAP features include support for the collaborative development of all application components; runtime environments for high performance, availability and scalability of applications; application deployment and monitoring with detailed usage insights. Enterprise LCAP platforms feature governance controls and success management through self-service capabilities and APIs, developer documentation and training, and service-level agreements for platform operations. Enterprise LCAPs provide the foundation for developing a wide range of application types and application components, including complex front ends, business process automation and distributed data sources.
Enterprise social networking applications facilitate, capture and organize open conversations and information sharing between individual workers and groups within an organization. In addition to capabilities that support conversations and information sharing, they can keep track of the network of relationships between participants (via social graphs), in order to deliver a personalized stream of updates about events or conversations to individuals (via news feeds and activity streams). These applications help people find out about each other, have discussions, share information and generally interact. Interaction occurs either at a one-to-one level, or in groups, teams, communities and networks, and in the context of structured or unstructured business activities.
The market for ESP platforms consists of software subsystems that perform real-time computation on streaming event data. They execute calculations on unbounded input data continuously as it arrives, enabling immediate responses to current situations and/or storing results in files, object stores or other databases for later use. Examples of input data include clickstreams; copies of business transactions or database updates; social media posts; market data feeds; images; and sensor data from physical assets, such as mobile devices, machines and vehicles.
Organizations use expense management software to simplify their expense reimbursement and reconciliation process. The software provides facilities for expense report creation, submission, approval, reimbursement, and accounting. The software replaces the manual paperwork with an automated workflow to upload, track and submit expense receipts conveniently. These reimbursement receipts are accessible to the administrators through a streamlined process to approve the claims while checking for any corporate policy violations. In addition, the software assists organizations in keeping track of their employee’s corporate expenses.
Gartner defines FSM as software suites that support FSPs whose technicians typically travel to customer locations to provide installation, repair, inspection and maintenance services for equipment and systems (consumer, commercial or industrial). FSPs may also manage, maintain and monitor these assets under a predefined service or maintenance contract.
Financial corporate performance management (FCPM) solutions support the office of finance's accounting processes toward the financial close, as well as targeting improvements in management reporting and analysis and external financial reporting and disclosure. FCPM also includes components of EFCA capabilities and financial consolidation capabilities. These applications ultimately help CFOs and other business leaders to gain a clear picture of their financial and organizational performance by ensuring the accuracy of the consolidation for operational and financial information that forms the basis for business decisions. This market covers solutions available as on-premise only options.
Gartner defines financial planning software as the key tool that enables organizations to automate and streamline their enterprisewide financial planning processes. The software supports planning, budgeting and forecasting processes by connecting relevant operational and driver data to profit and loss, balance sheet and cash-flow financial statements. Additionally, the software offers enhanced decision support and analytics that can be customized to unique planning requirements. To provide this support, financial planning software offers data integration, data modeling, reporting and workflow capabilities, which all enhance a user’s ability to effectively manage the planning process and their organization’s financial performance.
The global industrial IoT platform delivers multiple integrations to industrial OT assets and other asset-intensive enterprises’ industrial data sources to aggregate, curate and deliver contextualized insights that enable intelligent applications and dashboards through an edge-to-cloud architecture. The global industrial Internet of Things (IIoT) platform market exists because of the core capabilities of integrated middleware software that support a multivendor marketplace of intelligent applications to facilitate and automate asset management decision making. IIoT platforms also provide operational visibility and control for plants, infrastructure and equipment. Common use cases are augmentation of industrial automation, remote operations, sustainability and energy management, global scalability, IT/operational technology (OT) convergence, and product servitization of industrial products. The IIoT platform monitors IoT endpoints and event streams, supports and/or translates a variety of manufacturer and industry proprietary protocols, analyzes data in the platform, at the edge and in the cloud, integrates and engages IT and OT systems in data sharing and consumption, enables application development and deployment and can enrich and supplement OT functions for improved asset management life cycle strategies and processes. In some emerging use cases, the IIoT platform may obviate some OT functions.
Gartner defines global retail core banking (GRCB) as a back‐office banking system that both processes daily transactions and posts updates to accounts and other financial records. Core banking systems (CBSs) typically include deposit, loan and credit processing capabilities with interfaces to general ledger systems and reporting tools. This Magic Quadrant assesses vendors on the multicurrency products they offer in support of the bank’s financial transaction management in the retail banking market.
Gartner defines IT service management (ITSM) platforms as software that offers workflow management that enables organizations to design, automate, plan, manage, report on and deliver integrated IT services and related digital experiences. Supported practices include request, incident, problem, change, knowledge and configuration management, and case management, as well as interfaces for non-IT business needs. ITSM platforms are typically acquired as SaaS; however, they are also sold as on-premises deployments. I&O leaders select these solutions to be consumed by service desks and service operations, and are identifying opportunities for business workflows in other IT-adjacent departments.
Gartner defines identity governance and administration (IGA) as the solution to manage the identity life cycle and govern access across on-premises and cloud environments. To accomplish this, IGA tools aggregate and correlate disparate identity and access rights data, and provide full capability controls over accounts and associated access. IGA solutions also fulfill the purpose of unifying and correlating identity data for organizations with multiple person and machine identity authoritative sources. This is done to provide a single view of identity (system of record) for their dependent processes and systems
The market for 'In-Store Logistics Systems' is emerging and growing. Increasingly, retailers are using store inventory to support online order fulfillment. The key benefits of in-store logistics systems are to manage the fulfillment (picking, packing and dispatch) of online orders at scale within a store environment so that consumers experience an optimal level of on-time and complete fulfillment of their orders, whether being collected in-store or shipped to them from the store. Gartner defines the scope of in-store logistics processes as consisting of seven key functional capabilities which are product receipt, product put-away, inventory management, sales floor replenishment, picking optimization, packing optimization and dispatch process.
Integrated HR service management (IHRSM) solutions provide holistic platforms to manage physical and/or virtual HR shared services operations and communications. They also deliver “content in context” to employees and managers in support of employee-related processes, policies and programs. Typical capabilities are: - Employee and manager content delivery via a portal (This could also extend to a dedicated HR portal that combines the content delivery with the other functionalities mentioned in this list.) - Content knowledge bases - Digital HR document management - Business process management (BPM) tools - Case ticketing and routing - Service-level agreement (SLA) monitoring - Employee relations support
Gartner defines Integrated risk management (IRM) as the combined technology, processes and data that serves to fulfill the objective of enabling the simplification, automation and integration of strategic, operational and IT risk management across an organization.
Gartner defines the integrated workplace management systems market (IWMS) as an enterprise software solution that supports the life cycle management of corporate real estate (CRE) assets. The solution is delivered as a cloud-based or an on-premises installation that enables organizations to manage and optimize their building portfolio. An IWMS is a software platform that centralizes real estate and facilities management into a single solution to optimize building portfolio asset rationalization. As organizations adapt to changing environments with increased remote, hybrid and sustainability requirements, IWMS enables life cycle management of buildings for greater operational efficiency and workplace effectiveness by providing an integrated dynamic facilities management approach.
Gartner defines integration platform as a service (iPaaS) as a vendor-managed cloud service that enables end users to implement integrations between a variety of applications, services and data sources, both internal and external to their organization. iPaaS enables end users of the platform to integrate a variety of internal and external applications, services and data sources for at least one of the three main uses of integration technology: Data consistency: The ability to monitor for or be notified by applications, services and data sources about changes, and to propagate those changes to the appropriate applications and data destinations (for example, “synchronize customer data” or “ingest into data lake”). Multistep process: The ability to implement multistep processes between applications, services and data sources (for example, to “onboard employee” or “process insurance claim”). Composite service: The ability to create composite services exposed as APIs or events and composed from existing applications, services and data sources (for example, to create a “credit check” service or to create a “generate fraud score” service). These integration processes, data pipelines, workflows, automations and composite services are most commonly created via intuitive low-code or no-code developer environments, though some vendors provide more-complex developer tooling.
Intelligent asset management (IAM) software enables asset intensive businesses in optimizing the performance of their physical assets by leveraging the advanced technologies, such as artificial intelligence (AI), machine learning (ML), and automation. These technologies analyze the collected data to identify and predict the performance, reliability, and safety of assets through easy-to-understand reports and dashboards. In addition, it facilitates collaboration across a network of multiple stakeholders, regardless of their physical location or network connectivity to share data, assign task, and reduces manual effort in managing asset-related processes. This software is typically used by industries including manufacturing, utilities, oil and gas, transportation, and more.
Talent marketplaces, also known as internal talent or opportunity marketplaces, are highly intelligent platforms that democratize access to development opportunities and mobility by connecting people to opportunities. They provide workers personalized recommendations that align with their unique skills, experiences and aspirations without the involvement of a recruiter. Talent marketplaces primarily focus on internal talent, though they may include external talent with previous organizational relationships. Opportunities in the marketplace include gigs, projects, stretch assignments, mentoring and in some cases full-time roles. Talent marketplaces use complex AI-matching algorithms, marketing features and feedback functionality to support agile talent strategies and adaptive organizational design
Gartner defines the invoice-to-cash (I2C) applications market as cloud-based applications that enable corporate controllers to automatically manage collections and apply customer payments to invoices. I2C applications typically gather, disseminate, track and analyze data from and to internal and external sources. They make I2C processes more efficient and effective, including managing and monitoring deductions, disputes and credit risk. They also typically can ensure invoices are delivered to customers and that customers have options to pay them. I2C applications enable I2C transaction processing across multiple ERP systems. Organizations use I2C applications to collect and apply customer payments to open invoices, perform credit and collections activities, manage deductions and disputes, and deliver and present invoices to customers for payment. I2C applications are cloud-based tools that provide organizations with a standard way of processing across ERPs, while creating flexibility for buyers in how they receive or access invoices as well as pay and dispute them. I2C applications allow an organization to connect and exchange data with multiple ERP systems and other operational tools, such as customer relationship management tools, as well as with partners such as credit and collections agencies, logistics providers, banks and payment service providers. They use data to determine credit risk, automate collections and cash applications activities as well as help manage the resolution of deductions and disputes. Such activities result in faster collection of cash, improved visibility to cash flow, an improved customer experience and reduced process cost.
Integration means making independently designed applications and data work well together. IoT integration means making the mix of new IoT devices, IoT data, IoT platforms and IoT applications — combined with IT assets (business applications, legacy data, mobile, and SaaS) — work well together in the context of implementing end-to-end IoT business solutions. The IoT integration market is defined as the set of IoT integration capabilities that IoT project implementers need to successfully integrate end-to-end IoT business solutions.
Gartner defines manufacturing execution systems (MES) as a specialist class of production-oriented software that manages, monitors and synchronizes the execution of real-time physical processes involved in transforming raw materials into intermediate and/or finished goods. These systems coordinate this execution of work orders with production scheduling and enterprise-level systems like ERP and product life cycle management (PLM). MES applications also provide feedback on process performance, and support component and material-level traceability, genealogy and integration with process history, where required.
MDM is a technology-enabled business discipline in which business and IT work together to ensure the uniformity, accuracy, stewardship, governance, semantic consistency and accountability of an enterprise’s official shared master data assets. Master data has the lowest number of consistent and uniform sets of identifiers and attributes that uniquely describe the core entities of the enterprise and are used across multiple business processes.
Master data management (MDM) of customer data solutions are software products that: Support the global identification, linking and synchronization of customer information across heterogeneous data sources through semantic reconciliation of master data. Create and manage a central, persisted system of record or index of record for customer master data. Enable the delivery of a single, trusted customer view to all stakeholders, to support various business initiatives. Support ongoing master data stewardship and governance requirements through workflow-based monitoring and corrective-action techniques. Are agnostic to the business application landscape in which they reside; that is, they do not assume or depend on the presence of any particular business application(s) to function.
Master data management (MDM) of product data solutions are software products that: Support the global identification, linking and synchronization of product data across heterogeneous data sources through semantic reconciliation of master data. Create and manage a central, persisted system of record or index of record for product master data. Enable the delivery of a single, trusted product view to all stakeholders, to support various business initiatives. Support ongoing master data stewardship and governance requirements through workflow-based monitoring and corrective-action techniques. Are agnostic to the business application landscape in which they reside; that is, they do not assume or depend on the presence of any particular business application(s) to function.
MDMS products are IT components of the advanced metering infrastructure (AMI). The core MDMS is responsible for cleansing, calculating and providing the data persistence of commodity consumption data. Additional MDMS capabilities now include disseminating metered consumption data for internal as well as external use. Meter data can be used to support billing, as well as analytics use cases, such as load profiling, consumption tracking, forecasting, asset loading and revenue protection, including the detection of tampering, theft or leakage. Beyond supporting internal utility needs, MDMS plays a role in open consumption data by supporting the sharing of consumption data with customers, partners, market operators and regulators. In most markets, data sharing is done with standardized data exchange formats.
Mobile workforce management (MWM) products are industry-specific, commercial off-the-shelf (COTS) tools designed to optimize and manage field workforce activities and resources. Utility-focused MWM technology manages and enables field work requests from within MWM and other work-requesting systems, such as enterprise asset management (EAM), customer information systems (CIS), geospatial information systems (GIS) and advanced distribution management system (ADMS). Utility-focused MWM products are distinguished by their ability to handle utility-specific work requirements across the full asset life cycle of break/fix to scheduled, and asset-intensive work processes (including permit-to-construct, engineer-to-deploy and mutual-assistance). This is especially true for production systems (supply, treatment, delivery) and delivery networks within electric, gas and water utilities. MWM products must demonstrate that they are stand-alone (marketed, sold and installed separately from other enterprise systems offered by the vendor) and must integrate with utility-specific systems. For example, the MWM vendors should integrate with multiple ADMS, GIS and EAM products.
Gartner defines multichannel marketing hubs (MMHs) as software applications that orchestrate personalized communications to individuals in common marketing channels. MMHs optimize the timing, format and content of interactions through the analysis of customer data, audience segments and offers. MMHs are foundational for multichannel marketing, customer journey orchestration and next best action programs.
An MXDP is an opinionated, integrated set of front-end development tools and “backend for frontend” (BFF) capabilities. It enables a distributed, scalable development approach (in terms of both teams and architecture) to build fit-for-purpose apps across digital touchpoints and interaction modalities. At minimum, an MXDP must support cross-platform development and building of both custom iOS and Android app binaries, responsive web apps, and at least one of the following: PWAs, chatbots, voice apps, wearables and Internet of Things (IoT) apps, and augmented-reality (AR) and mixed-reality (MR) apps.
Gartner defines the non-life-insurance platform market in Europe as composed of offerings that support insurers through a combination of core systems and key technologies focused on customers, partners, data or things. These core platforms include elements such as: Core systems, including core modules for: Policy management, which provides full, end-to-end policy management and issuance functionality — including (but not limited to) quoting, rating, underwriting, policy generation and statistical reporting. Billing management, which supports the entire insurance billing and collections cycle, including (but not limited to) functionality such as electronic bill presentment and payment (EBPP). Claims management, which combines claims administration and business process management (BPM) to support every phase of the end-to-end claims process for non-life insurers, from first notice of loss (FNOL) through settlement and reporting.
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Product life cycle management (PLM) is a philosophy, process and discipline supported by software for managing the life cycle of products through the stages from concept through recycling/retirement. As a discipline, it has grown from a mechanical design and engineering focus to being applied to many different vertical-industry product development challenges. The market for PLM software includes vendors that: - Provide product data management (PDM) software to capture, cultivate and manage technical product-related content. That content defines the products’ specifications and designs and their allowable product configurations. It includes technical descriptions of the parts, materials and allowable product configurations expressed as 3D models, drawings and other related content. All PLM vendors deliver PDM functionality. - If software providers support only PDM functionality, Gartner does not consider them PLM vendors. PLM vendors support complementary applications that enable the PLM discipline to various degrees. Gartner considers a vendor a PLM provider if it supports at least three complementary software categories that enable the PLM discipline. Table 1 provides insight into the complementary categories of software that support the PLM discipline. Those additional software categories help manufacturers create, deliver, maintain, service and discontinue products.
Gartner defines personalization engines as technology that enables marketing professionals to identify, set up, conduct and measure the optimum experience for an individual based on knowledge about them, their intent and context. Personalization engines apply context about individual users and their circumstances to select, tailor and deliver messaging such as content, offers and other interactions through various digital channels in support of three use cases: Marketing: Delivering the right message to the right audience and in the right context (i.e., tone, timing and channel) to maximize marketing and advertising performance. It involves behavioral inference, segmentation, testing, targeting and optimization of marketing campaign content, messaging and engagements across marketing and communication channels. Digital commerce: Tailoring content, offers, recommendations and experiences across digital sales channels. It includes personalized site search and navigation and customized content across homepages, category landing pages and product detail pages, with the goal of increasing conversion and delivering online revenue growth. Service and support: Using customer insight, journey context and user feedback (i.e., surveys and stated intent) to customize online and offline experiences across business functions to reduce customer effort or increase customer satisfaction and advocacy.
Predictive analytics software uses advanced analytics capabilities to analyze current and historical data to make predictions about future events. This software connects data from different data sources and employs techniques like data mining and statistical analysis to forecast future trends, detect patterns, identify potential risks and opportunities, and plan for the best possible outcome. As a result, organizations can make better business decisions with machine-generated analytics, visualization, and reporting on predictive insights. These can be used in a wide range of industries, including healthcare, finance, marketing, and manufacturing.
Process mining platforms are designed to discover, monitor and improve processes by extracting knowledge from events captured in information systems to continuously deliver visibility and insights. Process mining includes automated process discovery (extracting process models from an event log), conformance checking (monitoring deviations by comparing model and log), social network/organizational mining, automated construction of simulation models, model extension, model repair, case prediction and history-based recommendations. Process mining platforms extend process mining capabilities by advanced process analytics, process improvement detection and process improvement recommendations, partly driven by AI and generative AI (GenAI).
Gartner defines the market for quality management system (QMS) software as the business information management system that manages quality policies and standard operating procedures (SOPs). This may include, but is not limited to, customer requirements, quality documents, International Organization for Standardization (ISO) requirements, manufacturing capabilities, robust design, auditing procedures and protocols, nonconformance/risk management activities, testing criteria, and industry-specific regulations (for example, U.S. Food and Drug Administration [FDA] or Federal Acquisition Regulation [FAR] requirements).
Rapid mobile app development (RMAD) tools are a class of coding-optional tools that enable nonprogrammers to build mobile apps to support, at a minimum, iOS and Android devices. These tools offer high productivity for developers and nondevelopers alike through a variety of approaches that both automate and abstract app development efforts, including drag-and-drop editors, code generation and orchestration, model-driven development, virtualization, business process mapping, component assembly, app configuration and forms construction.
Retail assortment management applications (RAMAs) are a foundational component of modern category management solutions for long life cycle products. Using data & analytics and AI technology, RAMAs can curate targeted assortments to create compelling customer experiences, leading to an increase in sales conversion. Long life cycle products in retail include categories such as grocery, consumables and hard goods. The long life cycle retailers’ traditionally broad approach to assortments is not satisfying customers’ demands for more curated assortments to match their lifestyles. Local trends mean that even more granular store-specific assortments are necessary. Advanced analytics, algorithms, AI and automation will play pivotal roles in driving this transformation through better customer understanding and alignment.
DOM systems use configurable rule-based procedures to orchestrate the fulfillment of customer orders placed through a retailer’s online channel, although many nonretailers are now also exploring or using DOM capabilities within their own supply chain. The purpose of a DOM system is to allow companies to optimize their order fulfillment performance while balancing two primary constraints: - The customer’s expected lead time for receiving their order on-time, in-full - The company’s desire to meet these customer expectations at the optimum fulfillment cost
Gartner defines robotic process automation (RPA) as the software to automate tasks within business and IT processes via software scripts that emulate human interaction with the application UI. RPA enables a manual task to be recorded or programmed into a software script, which users can develop by programming, or by using the RPA platform’s low-code and no-code GUIs. This script can then be deployed and executed into different runtimes. The runtime executable of the deployed script is referred to as a bot, or robot. RPA is used across numerous business functions for tactical task automation. Business and IT users can leverage RPA to: Move data in or out of application systems without human interaction (unattended automation). Scripts are designed to replicate the actions of a human interacting with those systems or documents, which usually do not have available APIs. The goal is to automate and complete a task successfully without human intervention. Typically, unattended automation is triggered by a system and bots executed on a server. Automate tasks with a human in the loop (attended automation). RPA can extract information from systems and related documents, shaping it and preparing it for consumption by a human at the point of need. Typically, attended automation is triggered by a human and bots executed on a local device.
This market is focused on the full life cycle of SAP application services, spanning project-based implementation and multiyear application management services (AMS). Evaluate service providers for their ability to deliver a comprehensive set of implementation and management services across the SAP portfolio of products for clients worldwide. Comprehensive is defined as follows: • A distinct offering, consistent with common market service offerings as defined by the following: scope of service, delivery structure, intellectual property (IP), roles and responsibilities, service metrics and levels, terms and conditions, and pricing model. • A consolidated set of distinct offerings to address industry-specific demand or cross-industry demand, where the offering is recognized by clients or analysts as an integrated offering.
Gartner defines the SAP S/4HANA Application Services as: assessment, implementation and applications management services. Assessment services are discrete, project based services to assess the impact of either a new SAP S/4HANA implementation or a migration from a legacy platform(s) to SAP S/4HANA. These services include consulting and potentially Proof of Concept, and covers the analysis of all SAP S/4HANA products, applications, databases, analytics, middleware, mobile and other technologies. Implementation services are discrete, project-based implementations of SAP S/4HANA applications without ongoing management responsibilities. These services include consulting, development and integration services, and covers all SAP S/4HANA products, applications, databases, analytics, middleware, mobile and other technologies. Management services are ongoing services focused on SAP S/4HANA applications that are provided as part of a multiyear-based agreement and managed against defined quality metrics.
To reduce both infrastructure costs and manual workloads in postmodern ERP projects, SAP application leaders and SAP Basis operations leaders should evaluate specialized software tools for automating the regular refresh of their SAP ERP test data. SAP selective test data management tools perform selective copying of SAP test data, but they vary in their approach to data selection, scrambling and performance optimization. There are two user constituencies for these tools: (1) Basis operations teams require repetitive data copy operations that must be as automated as possible (2) SAP application data objects for ad hoc data copying. Some of the tools also enable Basis operations teams to produce a 'shell system,' which is an identical copy of a complete production system, but without the transaction data. This is very useful in many projects for testing purposes.
SAP SuccessFactors provides human capital management (HCM) cloud applications, including core HR, talent management and workforce analytics. SAP SuccessFactors services are life cycle services provided by third-party service providers, focused on adoption and support of SAP SuccessFactors applications. Services included in this market are consulting, implementation and management. SAP SuccessFactors services are procured by HR leaders, IT managers and sourcing managers to standardize, harmonize and modernize HR or talent management systems globally, or as the catalyst to transform the HR operating model. These buyers look for service providers to rapidly implement a cloud-based solution in an agile manner, and to support its operation postimplementation.
Gartner defines sales force automation platforms as AI-augmented tools supporting automation and capture of sales activities, processes and administrative tasks, facilitating initiation, engagement and documentation of buyer-seller interactions through multiexperience and channel-agnostic approaches and devices. They leverage advanced analytics to support actionable insights, tracking and monitoring sales contact, pipeline and opportunity management; guided selling; and forecasting process execution. Optimal UX for sales managers or leadership extends beyond internal use cases, and is scalable to support buyer-seller intermediation and shared prospect/customer experiences. These platforms incorporate AI features beyond add-on products in predictive and prescriptive analytics, ML and NLP, enhancing processes and customer interactions. Sales force automation (SFA) is a foundational sales technology implemented to automate and augment an organization’s core sales processes. Leveraging AI and advanced analytics, it enhances the seller’s ability to engage with customers across various interaction touchpoints and devices. It not only streamlines administrative tasks, but also provides actionable insights for improved sales contact, pipeline and opportunity management.
Gartner defines sales performance management (SPM) as a suite of applications that enable the implementation and administration of commission-based incentive plans for sellers and other revenue producers, with variable short-term incentives. Vendors typically offer seat-based platform access for sales operations leaders, frontline sales leaders, territory managers and finance roles. Clients may integrate SPM applications with their customer relationship management toolset for workflow and data connectivity, and for opportunity estimation to drive seller behavior.
The services procurement solution market is a fragmented space with vendors that serve at least one of the three use cases below: • Freelancer management — Sourcing and management of individual freelancers hired directly by the buying organization. Freelancers are individuals working for different companies for a set time or deliverable, rather than being permanently employed by one company. • Contingent workforce management (CWM) — Sourcing and management of resources contracted through service providers (staffing agencies) and paid on a time-and-material basis. Solutions supporting CWM are also known as vendor management systems (VMSs). • Statement of work (SOW) services management — Procurement and management of services that are paid for based on deliveries or milestones achieved.
The market for social software in the workplace includes software products that support people working together in teams, communities or networks. These products can be tailored to support a variety of collaborative activities. Buyers are looking for virtual environments that can engage participants to create, organize and share information, and encourage them to find, connect and interact with each other. Business use of these products ranges from project coordination within small teams or homogeneous groups, to information exchange between employees across an entire organization.
Gartner defines the source-to-pay (S2P) suite market as an integrated set of solutions to source, contract, request, procure, receive and pay for goods and services across an enterprise. These solutions typically are sold as cloud-based software as a service. Source-to-pay suites allow organizations to manage all of their sourcing and procurement activities within a single integrated solution. These solutions are modular in nature allowing customers to activate the functionality that is relevant for their needs. The integrated nature of these solutions allows for data to easily flow across the source-to-pay process providing needed visibility to upstream and downstream documents. An example of this would be the ability to view a purchase order and see the contract that the purchase is related to, the e-sourcing event that led to the contract and downstream documents such as receipts, invoices and payments.
Strategic sourcing application suites are a set of related, integrated solutions that support upstream procurement activities; in other words, the strategic work the procurement team does for planning, assessment and performance management. Strategic sourcing application suites are used primarily by companies with $800 million or more in annual revenue that, typically, have the necessary critical mass of spend. The strategic sourcing application suite delivers four primary capabilities. Most vendors offer these capabilities as separately licensable modules: Spend analysis is a software- and service-based solution for cleansing, enhancing, classifying and analyzing spend data. It features rule-based data cleansing, automated category-level classification, analytics and decision support. Automated spend analysis is used in procurement and sourcing to quantify spend by supplier, category and part, and to identify opportunities for cost reduction and supply base resizing.
The structured data archiving and application retirement market is identified by an array of technology solutions that manage the life cycle of application-generated data and accommodate corporate and regulatory compliance requirements. Application-generated data is inclusive of databases and related unstructured data. SDA solutions focus on improving the storage efficiency of data generated by on-premises and cloud-based applications and orchestrating the retirement of legacy application data and their infrastructure. The SDA market includes solutions that can be deployed on-premises, and on private and public infrastructure, and includes managed services offerings such as SaaS or PaaS.
Gartner defines supply chain planning (SCP) solutions as platforms that provide technological support to enable a company to manage, link, align, collaborate and share its planning data across an extended supply chain. An SCP solution supports planning, ranging from demand planning through detailed supply-side response planning and from strategic planning through execution-level planning. It is the planning decision repository for a defined end-to-end supply chain. It is also the environment in which end-to-end-integrated supply chain decisions are managed. It establishes a single version of the truth for planning data and decisions, regardless of the underlying execution technology environment. Organizations use SCP solutions to improve their supply chain planning decisions and reach higher levels of maturity.
Talent acquisition (TA) applications have traditionally focused on an applicant tracking system (ATS) to track, post and automate the requisition-to-hire process. However, as the TA function in organizations has expanded to compete for talent, TA applications have evolved to cover a broader set of activities such as recruitment marketing, candidate relationship management (CRM) and onboarding. As a result, TA applications are on the market today in a variety of packaged suites that offer combinations of functions beyond applicant tracking. These combined platforms are called talent acquisition (TA), talent management (TM) and human capital management (HCM) suites.
Talent analytics tool helps in tracking the performance of HR processes and program investments in conjunction with business performance. Talent analytics tool provides HR professionals and business leaders with a more data-driven approach to managing talent and making informed data based decisions about workforce planning, talent acquisition, development, attrition, and retention. By leveraging data and advanced analytics techniques, organizations can gain a deeper understanding of their people metrics and identify areas for improvement, leading to increased efficiency, productivity, and overall business performance. Talent analytics tool offers data visualization in various forms of data representation for better insights and understanding. Advanced analytics help to predict future outcomes based on historical data and workforce planning helps organizations monitor the workforce and plan for future workforce needs through forecasting and scenario planning. Predominant users include HR managers, recruitment professionals, hiring managers, and Human Resource professionals.
A talent management (TM) suite is an integrated set of modules that supports an organization’s need to plan, attract, develop, reward, engage and retain talent. The modules offer functionality that includes the areas of workforce planning, recruiting and onboarding, performance appraisal, goal management, learning management, competency management, career development, succession and compensation. The functional modules align with the key human capital management (HCM) processes of: • Plan to source • Acquire to onboard • Perform to reward • Assess to develop A boost to demand in the TM suite market has resulted from the delivery of functionality to improve workforce engagement and collaboration. Further, growing demand for greater analytical capabilities and predictive insights to improve decision making in relation to workforce actions has improved the market’s general health.
A digital twin of an organization (DTO) is a dynamic software model of any organization that relies on operational and contextual data to understand how an organization operationalizes its business model, connects with its current state, responds to changes, deploys resources and delivers customer value.
Trade promotion management (TPM) and trade promotion optimization (TPO) are the processes and technologies that consumer goods manufacturers leverage to plan, manage and execute the activities that require collaborative promotional activity from their retail partners. Collectively, we refer to them as 'trade promotion execution' (TPx). The solutions in the market are currently offered either separately or as part of a combined package, and to date, have largely been used to deliver promotional activity in brick-and-mortar locations.
Gartner defines transportation management systems (TMSs) as software that supports multimodal planning and execution of the physical transport of goods across the supply chain. It allows a company to manage varying levels of transportation complexity across multiple transport modes and geographic regions. TMS solutions are utilized by companies of differing sizes, operational complexity, industries and geographic locations. TMS solutions are utilized to plan and execute the physical transport of goods across the supply chain. They provide a company with the ability to manage the entire transportation life cycle of an order or shipment. This includes: 1. Sourcing and procuring transportation capacity from third-party companies by supporting bid management and optimization. Intaking orders to provide a shipment plan, including order and shipment consolidation, mode selection, routes, and carrier selection. 2. Taking the shipment plan and enabling communications with carriers to facilitate execution against the plan. 3. Tracking and tracing the movements of shipments from pickup to final delivery. 4. Matching expected transportation charges against actual charges to manage discrepancies. 5. Making better transportation decisions by utilizing embedded analytics and reporting capabilities to measure key performance indicators, such as on-time performance, emissions calculations, and costs by customer, product line and location. TMS solutions enable a company to have tighter control of their transportation operations, optimize costs, improve efficiencies, and have improved visibility into the movement of goods.
A treasury management system is an enterprise software application that automates the process of managing a company's financial operations. It helps companies to manage their financial activities, such as cash flow, assets, and investments, automatically. The reporting functionality offers an overview of the treasury's financial activity and focus areas, while the interface functionality facilitates communication with banking partners, trading platforms, and financial systems. Additionally, the accounting capability can be leveraged for creating journal entries based on financial market activity for the company's ERP general ledger. Treasury departments, finance teams, and other financial professionals are common users of these systems.
Gartner defines a unified endpoint management (UEM) tool as a software-based tool that provides agent and agentless management of computers and mobile devices through a single console. Modern UEM tools: Provide a user-centric view of devices across device platforms; Offer agent and/or agentless management through native Windows endpoint, macOS, Linux and Chrome OS controls. Offer agentless mobile management through native Apple iOS/iPad OS and Google Android controls; Aggregate telemetry and signals from identities, apps, connectivity and devices to inform policy and related actions; Aggregate and analyze technology performance and employee experience data; Integrate with identity, security and remote access tools to support zero-trust access and contextual authentication, vulnerability, policy, and configuration and data management; Manage nontraditional devices, including Internet of Things (IoT) devices, wearables and rugged handhelds.
Unified Price, Promotion and Markdown Optimization (UPPMO) is technology that uses predictive analytics and optimization capabilities to plan and manage every aspect of pricing (i.e., initial, regular, promotion and markdown). This technology can provide improved pricing and promotion planning and management throughout the entire life cycle of the merchandise. Individual price, promotion and markdown optimization solutions are being combined to form a unified solution to better align with the way that price is managed during the product's life, whether short-seasonal products or multiyear basic replenishment items.
Utility customer information systems (CIS) manage internal and customer-facing account operations for utility meter-to-cash processes. CIS handles customer contracts and billing against consumption data and facilitates revenue generation and collections. They support order processing, rate design, billing, payments, credit and collections. CIS includes customer self-service and communication preferences for account management and notifications. Some vendors expand to include advanced customer engagement and product and service offerings on a flexible product platform. Modern CIS is adaptable, offering deployment options from on-premises to full SaaS. CIS is central to revenue management, leveraging metered consumption data against a backdrop of service and product parameters. As utilities digitalize, CIS is evolving to encompass a broader spectrum of services, extending beyond traditional meter-to-cash processes. This expansion, often referred to as “services to cash,” necessitates innovative approaches to meet customer demands, including dynamic pricing and enhanced savings opportunities.
Gartner defines a warehouse management system (WMS) as a software application that helps manage and intelligently execute the operations of a warehouse, distribution center (DC) or fulfillment center (FC). WMS operations natively exploit mobile devices along with bar codes and potentially RFID or other scanning/sensing technologies, to form the transactional foundation of warehouse management. This enables efficiencies of directed work activity (optimization) and the delivery of accurate information in near real time. Core WMS capabilities address, among others, the needs to receive, put away, store, count and pick, pack and ship goods. Gartner also includes additional integrated functionality offered by WMS providers beyond core WMS. These extended WMS capabilities can include more advanced capabilities such as managing labor or optimizing the locating of inventory within a facility.
A yard management system (YMS) supports the efficient flow of work, equipment and materials through the normally enclosed area outside of a warehouse, distribution center or manufacturing facility (the yard). It provides an overview of yard operations and supports the planning, direction and control of scheduling, movement, parking, inspection and reassignment of trucks, trailers and containers in the yard. YMSs typically oversee the gate/kiosk, the yard itself, and the inbound and outbound dock door scheduling activities. YMSs are typically sold as extended modules of a WMS or as an independent suite and sometimes as part of a TMS. The gate, yard and dock components may be sold independently or as a combined solution.