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 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.
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.
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.