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TDWI Checklist Report | Using Data Intelligence to Drive Trust in Data

June 29, 2021

As organizations build out their data and analytics capabilities to become more competitive, they collect diverse and disparate data—including personal information—for more advanced analytics. Data governance helps an organization build trust in all its data.

Being able to build trusted data requires a comprehensive focus on data intelligence. Without an in-depth knowledge of data and associated metadata, organizations cannot truly safeguard data privacy and protect and govern these precious assets. Today’s organizations are using AI-driven data discovery, profiling, and risk mitigation tools in conjunction with data catalogs and interactive visualization to help improve data integrity and to build trust in data.

Data intelligence, done correctly, will lead to better quality data, which leads to data being used more often and becoming more trusted. That, in turn, will lead to better compliance and help organizations meet business objectives such as digital transformation, easier cloud migrations, and better data-led projects.

This TDWI Checklist Report discusses key best practices for data intelligence to ensure ongoing compliance with privacy, security, governance, and other mandates.

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