Gartner defines analytics and business intelligence platforms (ABI) as those that enable organizations to model, analyze and visualize data to support informed decision making and value creation. These platforms facilitate the preparation of data and the creation of interactive dashboards, reports and visualizations to uncover patterns, predict trends and optimize operations. By doing so, they empower users to collaborate and effectively communicate the dimensions and measures that drive their organization. The platforms may also optionally include the ability to create, modify or enrich a semantic model, including business rules. Analytics and business intelligence platforms integrate data from multiple sources, such as databases, spreadsheets, cloud services and external data feeds, to provide a unified view of data, breaking down silos and transforming raw data into meaningful insights. They also allow users to clean, transform and prepare data for analysis, in addition to creating data models that define relationships between different data entities.
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 meter data management systems (MDMS) market is used by utility companies in the electricity, gas, water and thermal sectors to support metered commodity measurement at customer premises. This data is used for billing, customer service, consumption management (forecast and demand), operations (outages and losses) and finance. Other buyers of MDMS products include energy service companies for audits and efficiency projects; energy management providers for consumption reporting; outsourced or local energy providers for production planning and engineering; and commercial and industrial users for accounting and finance. Additionally, municipalities and government agencies use MDMS products for public works and regulatory compliance. MDMS are essential IT components of advanced meter infrastructures that facilitate the meter-to-cash process by collecting and managing consumption data for utility services such as electricity, water, gas and thermal energy. MDMS collect meter data; apply validation, estimation and error corrections; and store and process the data into billing determinants based on the customer’s product before sending it to a billing engine. MDMS can support various analytics use cases, including consumption profiles, trends, alerts, revenue protection and basic meter asset management. It can be delivered through on-premises or cloud-based solutions, enabling real-time data access and analytics that enhance operational efficiency and customer engagement.
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.