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Executive Summary Operational Data Platforms Operational data platforms include relational and non-relational databases (including NoSQL) as well as the increasing convergence of relational and non-relational approaches. Complemented by data operations and data intelligence platforms and tools, operational data platforms play a fundamental role in enabling enterprises to operate efficiently.... Read More

Topics: Artificial intelligence, Data Platforms, Operational Data Platforms, AI & Technologies


Executive Summary Analytic Data Platforms As enterprises strive to automate business processes and decisions using artificial intelligence agents, their reliance on data and the importance of the analytic data platform have never been greater. Analytic data platforms play a fundamental role in enabling enterprises to generate value from accumulated data. ISG Research defines analytic data... Read More

Topics: Artificial intelligence, Data Platforms, analytic data platforms, AI & Technologies


Executive Summary Data Platforms It is no exaggeration to state that today’s enterprises—and society as a whole—are completely dependent on data platforms. Without data platforms, enterprises would be reliant on a combination of paper records, time-consuming manual processes and huge libraries of physical files to record, process and store business information. Without data platforms,... Read More

Topics: Artificial intelligence, Data Platforms, AI & Technologies


Executive Summary Streaming Data Messaging and event processing enables enterprises to capture information related to business events and communicate it to any dependent application, device or system. Although messaging and event processing can trigger specific actions in response to events, the ability of an enterprise to make real-time business decisions is enhanced through the processing of... Read More

Topics: Analytics, Data, AI, Streaming Data, Real-Time Data


Executive Summary Streaming Analytics In theory, data-driven enterprises stand to gain a competitive advantage, responding faster to worker and customer demands for more innovative, data-rich applications and personalized experiences. As all enterprises strive to be data-driven, however, making a higher proportion of decisions based on data is no longer enough to differentiate. The winners will... Read More

Topics: Analytics, Data, AI, Streaming Analytics, Real-Time Data


Executive Summary Messaging and Event Processing The starting point for a real-time data strategy is the ability to capture and communicate information related to business events as they occur. As applications and devices record events, enterprises must capture the relevant information and ensure it is conveyed to any dependent applications, devices or systems to trigger required actions. ISG... Read More

Topics: Analytics, Data, AI, Real-Time Data, Messaging, Event Processing


Executive Summary Application Integration Data-driven enterprises rely on a complex web of applications to operate efficiently. Individually, these applications serve a specific purpose—such as human capital management, supply chain management and enterprise resource planning—but these functions do not operate independently. To operate efficiently, enterprises need to ensure that their chosen... Read More

Topics: Analytics, Data, AI, Application Integration, Real-Time Data


Executive Summary Real-Time Data As enterprises strive to be data-driven, making a higher proportion of decisions based on data becomes the norm. To differentiate from the pack, enterprises need to process and analyze more data and increase the frequency with which data-driven decisions are made by acting upon data in real time. To differentiate from the pack, enterprises need to process and... Read More

Topics: Analytics, Data, AI, Real-Time Data


Executive Summary Data Products Data as a product is one of four key principles of data mesh, a cultural and organizational approach, alongside domain-oriented ownership, self-serve data infrastructure and federated governance. However, each of these four principles is gaining momentum outside the context of data mesh. Data as a product is the process of applying product thinking to data... Read More

Topics: Data Products, IT and Technology-focused Software and Services, Analytics and Data, DataOps


Executive Summary Data Pipelines The development, testing and deployment of data pipelines is a fundamental accelerator of data-driven strategies. The pipelines enable enterprises to extract data generated by operational applications that run the business and transport it into the analytic data platforms used to analyze the business. ISG Research defines data pipelines as the systems used to... Read More

Topics: Data Pipelines, IT and Technology-focused Software and Services, Analytics and Data, DataOps


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