The Many Faces of Metadata Management

Few things bring down the value of data faster than confusion and uncertainty about what it is, where it came from, and whether it is good quality data. Yet as more users seek to access and interact with data and reports for business intelligence and analytics and as data sources become larger and more varied, confusion and uncertainty spread fast. Executives, managers, regulatory administrators, and other key personnel cannot rely on their reports, KPIs, and dashboards. Users cannot even find reports that the organization is producing. Instead, users spend more of their time trying to locate data and reports and correcting mistakes than they do applying data insights to solve business problems.
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Big Data as a Gateway to Knowledge Management

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Knowledge management may be making a comeback the term we heard about in the early noughts, a formal system that helps manage what an organization knows. Developments in artificial intelligence and database technology have brought the promises of knowledge management back into the forefront.
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Expert Panel: The Importance of Governance in Data Modernization

Data modernization, especially through cloud migration, is critical to realizing value from today’s fast, diverse, and high-volume data. Modernization is about overhauling legacy data management and practices that hold organizations back from achieving business goals, improving resilience, and reducing risk. However, often overlooked in the rush to develop new applications and migrate data is modernizing data governance. Poor attention to data governance will bake problems into overall modernization efforts that become hard to correct, increase risks, and ultimately reduce the value of data.
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Insights & Analytics: Digging into the Data to Measure and Accelerate Trust Programs

It’s no secret that trust provides a competitive advantage, with trusted companies outperforming their market peers. Boards, executives, and businesses across the globe want to find ways to build trust with consumers, employees, investors, and all stakeholders. But how do you define metrics, quantify, and measure trust?
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Data Governance Takes a Village: So Why is Everyone Hiding?

The entire business community — not just your data experts — uses data. How do you build a “village” of stakeholders throughout the organization to execute a data governance program? And how can a data catalog accelerate adoption?
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