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.
