10 key features that make or break a data science platform

10 Must-Haves for a Powerful Enterprise Data Science Solution

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Data scientists used to build insight out of a complex series of tools, making the process of data science an arduous and time-consuming one.

More data science solutions now are beginning to offer end-to-end workflows and incorporate multiple advanced tools in their offerings—but how can you be sure you’re using the right one?

Know what capabilities to keep an eye out for helps. For instance, comprehensive data science platforms offer:

  • Built-in data preparation tools
  • A/B model testing
  • Multilingual settings and support
  • And more

Read this guide to learn the 10 must-have features you should be looking for in your company’s data science solutions.

Vendor:
StreamAnalytix
Posted:
07 Jan 2021
Published:
07 Jan 2021
Format:
PDF
Type:
White Paper
Language:
English
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