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Over the course of her career in records and information manager, Karen Stitt has learned that hoarding data isn't always due to a lack of policies or procedures — it's a human thing.
Data quality is the measure of how accurate, complete, valid, and relevant the data your business uses is. We’re sharing best practices for business success.
Discover what data sharing is, why it’s important for success, and the best practices to implement for effective collaboration and data utilization.
Learn the difference between a data lake and a data warehouse, when to use each, key implementation tips, and future trends in data storage.
Data mesh vs data fabric: Data mesh offers decentralized agility, while data fabric unifies siloed data for better consistency and compliance. Learn more.
Data risk refers to the potential threats businesses face if their data isn’t properly managed or secured. Here’s how to assess, mitigate, and manage data risk.
