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TDWI Upside - Where Data Means Business

Data Management


Executive Q&A: Data Management Best Practices for Changing Times

Pandemic-driven work-from-home employees have complicated data management. Fred Forslund, VP of enterprise and cloud erasure solutions at Blancco, explains why enterprises should act and offers best practices to follow.

Executive Q&A: Data, the Cloud, and the Insurance Industry

From integrating data silos to creating strong customer experiences, the insurance industry is facing a host of challenges. Venkitesh “Venki” Subramanian, vice president of product management for enterprise solutions at Reltio, spoke to us about the results of the company’s recent survey of the industry.

Only DataOps Can Drive True Industrial Transformation

Industrial DataOps may be the key to securing your ultimate industrial transformation success.

Solving “Bad Data” -- A $3 Trillion-Per-Year Problem

Data quality is still a struggle for many enterprises, and new types of data and input techniques are adding to the burden. Jonathan Grandperrin, CEO of Mindee, explains the impact of bad data and how enterprises can use deep learning and APIs as part of their “good data” strategy.

Data Digest: Data Governance, Self-Service, and Data Quality

These articles explore modern approaches to data governance and the goals of data governance programs.

5 Steps to Implementing a Modern Data Fabric Framework

If your organization wants a modern data management strategy, consider following the five fundamental steps to implementing a data fabric framework described here.

Data Digest: Data Mesh Advantages and Alternatives, Plus Data Sharing

Combining data mesh and data fabric, considering the hub-and-spoke model, and modern knowledge-sharing tools.

Data Digest: Biased Data, Improving Equity and Governance

Handling biased data, using AI to detect biases, and better governance for health data.

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