DigiGov Central

Mitigating Data Loss From ‘Dirty’ Data

Any type of flawed data in your IT environment is considered “dirty” data. This could mean information that is inaccurate, outdated, incomplete or inconsistent.

The data that makes up your system is directly tied to the health and effectiveness of your development environment and larger IT goals. It’s important for every organisation to understand the risks of dirty data and how to mitigate the threats it poses.

Previous Four Data, Analytics, Protection & Privacy​

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California Fined Google

A lawsuit filed against Google by California’s Attorney General over the company’s deceptive and misleading

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