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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 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 organizations 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 Intelligence, IT and Technology-focused Software and Services, Analytics and Data


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. In order to function, enterprise need to be able to ensure that their... Read More

Topics: Data Intelligence, IT and Technology-focused Software and Services, Analytics and Data, Application Integration


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 Intelligence, IT and Technology-focused Software and Services, Analytics and Data


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 organizations 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... Read More

Topics: Data Quality, Data Intelligence, IT and Technology-focused Software and Services, Analytics and Data


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