Traditional approaches to data management don’t acknowledge that data environments and end user requirements are constantly changing. 

Data scientists face an unnecessary burden and spend up to 80% of their time doing tedious, time-consuming data prep work before they can begin actually analyzing data.

This is where Agile Data Mastering comes in. In this ebook, you’ll gain insights about:

  • The pillars of Agile Data Mastering including building operational and analytical applications
  • The key benefits of human-guided machine learning at scale
  • How a large enterprise saved $380 million in 18 months using machine learning

Download this ebook to learn more about embracing an agile approach to data mastering.

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