Smart data management must become a core competency for smart business. Every business today depends on data. High-value opportunities are abundant when data is well managed, but the risks that accompany poor data management are equally high. To maximize value and minimize risk, we need to take a new approach to data management—an approach that overcomes the difficulties created by fragmented data and technology, and that puts data management in the hands of the business.

The business needs to manage its data assets with the same discipline and rigor as its financial assets, and it needs the tools to manage data without deep technical knowledge. Intelligent data management is a key component when it offers a single platform for governance, master data, reference data, data quality, data enrichment, and workflows. Intelligent data management uses artificial intelligence and machine learning algorithms to discover and understand data and to graph relationships among data sources—an important capability in shifting from data silos to a data hub. The Intelligent Data Hub is a software platform with a robust set of data management capabilities to discover, integrate, manage, and govern data. It spans multiple applications to measure and monitor data quality, process efficiency, and other data management outcomes.

This report describes the challenges of modern data management, the urgency of finding a new approach, and the capabilities of an Intelligent Data Hub to meet the challenges and become a catalyst for a new approach to data management.

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