Our solution helped a Silicon Valley consumer technology company with over 100M users. They were expecting to find ~20 data tables, but our solution found 5700 tables across their data lake. The data analytics team was surprised to see 92% of the data was stale that no one in the company was using it. Many of the stale data tables had personally identifiable information, posing a significant risk.
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