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  • for Author: Matt Aslett
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Executive Summary Master Data Management Despite efforts made by enterprises to be more data-driven, some of the most fundamental questions about an enterprise—such as how many customers it has—remain difficult to answer. Trust in data is foundational for an enterprise to make data-driven business decisions. The problem lies not just in being able to accurately count how many customers the... Read More

Topics: Master Data Management, Data Management, Artificial intelligence, Data Intelligence


Executive Summary Data Intelligence Today’s enterprises seek to increase data-driven decision-making to gain competitive advantage and improve efficiency. It is ironic, however, that many enterprises lack information about when and how data is used in decision-making processes. The capabilities that provide enterprises with information about how data is generated and consumed across the... Read More

Topics: Data Management, Artificial intelligence, Data Intelligence


Executive Summary Data Governance Data governance is integral to an overall data management strategy. Good data governance provides guardrails that enable enterprises to act quickly while protecting the business from risks related to regulatory requirements, data-quality issues and data-reliability concerns. It accelerates the delivery of analytics projects, providing the confidence required to... Read More

Topics: Data Governance, Data Management, Artificial intelligence, Data Intelligence


Executive Summary Data Quality Maintaining data quality and trust is a perennial data-management challenge, often preventing enterprises from operating at the speed of business. As enterprises aspire to be more data-driven, trust in the data used to make decisions becomes more critical. Without data quality processes and tools, enterprises may make decisions based on old, incomplete, incorrect or... Read More

Topics: Data Quality, Data Management, Artificial intelligence, Data Intelligence


Executive Summary Data Management Data management combines functionality addressing data governance, data quality, master data management, data integration and data intelligence to ensure that the enterprise is collecting, storing and processing data in accordance with strategic goals and regulatory requirements. Data management has been a critical component of enterprise IT strategies for... Read More

Topics: Data Management, Artificial intelligence, Data Intelligence


Executive Summary Data Integration Data integration is a fundamental enabler of a data management strategy. Analysis of individual data sources—such as customer or product data—can provide insights to improve operational efficiency. However, the combination of data from multiple sources enables enterprises to innovate, improving customer experience and revenue generation, for example, by... Read More

Topics: Data Integration, Data Management, Artificial intelligence, Data Intelligence


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


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