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Building Trusted Data Through Deep Profiling and Analysis with Machine Learning

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All the data and analytics in the world won’t help you if you can’t trust it. This is where proper data profiling and data quality checks come into play.

According to a TDWI Best Practices Report, almost 50% of surveyed organizations are dissatisfied with the quality of their data.

This is likely due to:

  1. 30% of respondents admitting they don’t do any form of data governance, and
  2. Wasted resources with data scientists manually pulling and profiling their data.

Automating the analytics life cycle could be a solution to both these problems.

Watch this webcast to find out if automating data governance and analytics could be the solution for untrustworthy data.

Vendor:
IBM
Premiered:
Dec 31, 2018
Format:
HTML
Type:
Webcast
Language:
English

This resource is no longer available.