Product Listings
Adobe Analytics uses machine learning and advanced statistical models to deliver predictive analytics, giving marketers and product teams the foresight needed to make confident, data-backed decisions. By forecasting future customer behaviors—such as churn risk, revenue potential, or product demand—you gain a clear understanding of where to allocate resources for maximum impact. This proactive approach reduces guesswork, increases operational efficiency, and helps optimize marketing budgets while fostering long-term customer loyalty.
Azure Machine Learning is a software designed to facilitate the development, training, and deployment of machine learning models. It provides features for automated machine learning, data preparation, and model management, supporting both code-based and visual interfaces. The software enables integration with various data sources and works with open-source frameworks and libraries. It addresses business problems related to predictive analytics, data-driven decision making, and scalability of machine learning workflows. Users can utilize the software for managing the lifecycle of machine learning projects including versioning, monitoring, and retraining of models. The software is intended to streamline the process of operationalizing machine learning solutions within organizational environments.
The SAP Analytics Cloud solution let data and analytics leaders and practitioners in organizations running enterprise applications from SAP unlock the potential of all their investments in mission-critical business applications and valuable data sources. It brings together analytics, business intelligence (BI), and planning augmented with the power of artificial intelligence (AI), data science (DS), and machine learning (ML).
It connects live at the point of decision and action without moving data from their SAP enterprise applications to keep the complete business context. The built-in planning engine enables them to go beyond simple visualizations, they can run simulations and forecasts, and collaborate for decision-making. Over 300 packages of industry best practices for AI-infused analytics and BI enable them to de-risk their projects and accelerate business outcomes.
Alteryx One Platform is a software designed to support data preparation, analytics automation, and machine learning processes within organizations. The software offers tools for data blending, integration of disparate sources, and automating workflows, enabling users to transform raw data into actionable insights. Its features include code-free and code-friendly capabilities, collaboration options, and integration with various cloud and on-premises data systems. Alteryx One Platform is used to address business problems related to data-driven decision making, operational efficiency, and analytics scalability. It aims to simplify the process of building analytical models and sharing results across teams, supporting organizations in extracting value from data assets.
Oracle Analytics Cloud is a software that offers data analytics and business intelligence capabilities for organizations. It provides tools for preparing, visualizing, and analyzing data from various sources, supporting features such as data modeling, interactive dashboards, and predictive analytics. The software facilitates collaboration by allowing users to share insights and reports within teams. It supports integration with cloud and on-premises data sources, enabling advanced analytics solutions for addressing complex business problems, including identifying trends, evaluating performance, and optimizing decision-making. Its scalable architecture accommodates varying data volumes and user demands, serving as a unified platform for enterprise analytics requirements.
IBM SPSS Modeler is a data mining and predictive analytics software designed to support data preparation, statistical analysis, and the development of machine learning models. The software enables users to visually build predictive models without the need for programming by providing a drag-and-drop interface. It supports a range of analytical techniques including classification, segmentation, and forecasting, and works with structured and unstructured data from multiple sources. IBM SPSS Modeler helps organizations identify patterns, trends, and relationships in data to inform decision-making, address business challenges, and enable automation of analytical processes. The software integrates with various data sources and platforms, supporting deployment of models into different business workflows.
Spotfire is the visual data science platform that uniquely combines visual analytics, data science and in-line data wrangling for analyzing data. Spotfire provides a point-and-click user experience that enables users to rapidly build and interact with visual data science applications, and allows them to deploy these apps to thousands of users with just one-click for business-critical operations and daily decision making. Low-code and no-code capabilities, empower business users and data scientists to build more powerful domain-specific applications.
Optimized for scaled and secure deployments, combined with a wealth of knowledge and extensions through the Spotfire Community Exchange, provides users with even more extensibility. Spotfire helps you tap into an ever-growing ecosystem of industrial knowledge that houses hundreds of vertical implementations across Energy, Manufacturing, and many more, empowering users to solve the world’s most complex industry-specific challenges.
SAS Viya is a software platform designed for data management, analytics, and artificial intelligence tasks. It supports a range of analytical methods including data preparation, statistical analysis, machine learning, and deep learning. The software enables users to integrate data from multiple sources, perform complex data transformations, and build analytical models. SAS Viya supports collaborative workflows, allowing different users to access and work on data projects using a common platform. It offers programming interfaces in languages such as Python and R and provides deployment options that accommodate on-premise, cloud, and hybrid environments. The software addresses the challenge of deriving insights from large and diverse datasets to enable data-driven decision making in organizations.
KNIME offers a complete platform for end-to-end data science, from creating analytic models, to deploying them & sharing insights, through to data apps & services. KNIME Analytics Platform is free & open source. Users remain on the bleeding edge of data science, get 300+ connectors to data sources & integrations to all popular ML libraries. KNIME Business Hub provides a single, customer-managed environment for data workers to collaborate on & deploy solutions. KNIME enables data experts to accelerate time to insight, collaborate with other disciplines & upskill colleagues. Business & domain experts can access & blend data, perform advanced analyses & deliver timely insights in a visual, interactive environment that eliminates the need to code. End users get instant insights with custom, interactive data apps without coding or building analytical models. MLOps & IT can securely deploy, manage & scale with a single installation & ensure enterprise-grade security & governance.
ChannelMix is a software designed to unify, prepare, and automate marketing data from various channels, enabling users to create comprehensive insights and analysis. The software integrates data from platforms such as digital ads, analytics, and customer relationship management systems, standardizes this data, and delivers automated reporting across dashboards and business intelligence tools. ChannelMix addresses common challenges in marketing data management by reducing manual effort, streamlining data workflows, and providing consistent metrics for tracking campaign performance. Through these features, the software supports organizations in measuring return on marketing investment and optimizing strategy through data-driven decision making.
Adobe Customer Journey Analytics unifies customer identities and interactions across channels, devices, and time to enable advanced predictive analytics and forecasting. With powerful data frameworks and robust forecasting tools, businesses can model future trends, predict outcomes, and identify key opportunities. Generative AI streamlines analysis across diverse datasets, delivering actionable insights in seconds. By leveraging predictive insights to optimize the full customer journey, organizations can make data-driven decisions that drive growth, improve customer experiences, and stay ahead of emerging trends.
DataRobot is agentic AI for the workforce. Our agentic platform enables frontline/business teams to develop, deliver, and govern AI agents and applications that work intelligently and securely with core business processes, infrastructure, and systems — maximizing impact and minimizing risk for organizations across industries.
Hanzo Illuminate is a software designed to support legal, compliance, and investigative teams in managing, collecting, and reviewing data from various online and collaboration environments. The software enables the preservation and search of dynamic content from sources such as web pages, enterprise collaboration platforms, and social media. Hanzo Illuminate assists users in capturing authentic data for litigation, internal investigations, and regulatory compliance. It offers capabilities for defensible data extraction, contextual search, and review workflows, aiming to address challenges related to the governance and discovery of enterprise data stored in modern communication and productivity tools.
Altair RapidMiner is a software designed for data science, machine learning, and advanced analytics. It offers a visual workflow designer that enables users to prepare data, build predictive models, and operationalize analytics projects. The software supports a range of data sources and methods, allowing integration with databases and cloud storage, as well as the application of various data preparation, transformation, and modeling techniques. Altair RapidMiner provides tools for data exploration, model validation, automation, and deployment, addressing business problems such as component failure prediction, risk analytics, customer segmentation, and forecasting. It aims to help organizations derive insights from large datasets and streamline decision-making processes through accessible machine learning and analytical capabilities.
AI-enabled raw material market intelligence, commodity price tracking and forecasts. Updated daily with the latest insights, we collect 1000s of data points to process and present them in an easy-to-understand format. Data inputs include fundamental supply and demand, macroeconomic indicators, technical analysis, currency pairs, satellite and weather information, freight data, and more. ChAI Insight gives access to institutional views and analysis of commodity markets on an AI platform. Commodity price tracking coverage includes Metals, Energies, Plastics, Softs, Grains, and Forest Goods; all accessible in one application.
The eQube Analytics Suite is an Analytics and Business Intelligence platform designed to empower end users with analytics capabilities. It processes streaming data, Big Data, and Data Lakes, providing a unified view across various data sources and core business systems (PLM, ERP, MRO, Supply Chain Asset Management, Logistics, ALM, etc.) to derive critical insights. eQube Analytics Suite consists of 3 product offerings: eQube-BI (Business Intelligence), eQube-ADA (Augmented Data Analytics), and eQube-DP (Data Profiler). eQube-BI supports predictive analytics by preserving data integrity in source systems. It efficiently combines data from multiple sources, adhering to security protocols. eQube-BI serves diverse analytical needs, addressing various user roles, including regular users, power-users, citizen data scientists, data scientists, managers, and executives. Its data-centric approach ensures information remains in its source, facilitating precise and reliable actionable insights.
eQube-BI supports predictive analytics by preserving data integrity in source systems. It efficiently combines data from multiple sources, adhering to security protocols. Users access authorized data via portals, SharePoint, apps, or mobile devices. The platform includes a robust scheduler for seamless artifact publication in both deployment modes. It also offers an integrated event management system that generates Analytics,BI artifacts, triggered by system events or user requests. eQube-BI serves diverse analytical needs, addressing various user roles, including regular users, power-users, citizen data scientists, data scientists, managers, and executives. Its data-centric approach ensures information remains in its source, facilitating precise and reliable actionable insights.
fintastic is the AI-fueled planning and analysis solution that powers enterprise-grade planning, analysis, and decision-making in one seamless environment. Designed to help users spend less time on tedious manual tasks and more time making intelligent science-driven decisions that will actually change the top and bottom line.
HanPHI is a software designed to support predictive maintenance and process optimization in industrial environments. It leverages artificial intelligence algorithms to monitor equipment and process data in real time, identifying potential failures or inefficiencies before they result in operational disruptions. The software analyzes historical and live data from various sensors and systems, providing alerts and diagnostic insights that enable maintenance teams to address issues proactively. HanPHI assists organizations in minimizing downtime, reducing maintenance costs, and improving asset reliability by delivering actionable insights into equipment health and performance.
Journey Assist is a software designed to streamline and automate customer engagement across multiple channels. The software captures customer interactions from various touchpoints, analyzes behavior, and triggers relevant communications and actions in real time. It integrates data from online and offline sources to construct detailed customer profiles, enabling organizations to personalize outreach and improve response rates. Journey Assist addresses the need for coordinated customer journeys by providing workflow automation, campaign management, and performance analytics. The software supports seamless orchestration of marketing, customer service, and retention activities while offering insights to optimize business processes and enhance operational efficiency.