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Introduction

Dataiku is one of a crop of new tools targeting the data scientist that differentiates by focusing on end-to-end productivity.

Highlights

  • Dataiku, part of a growing wave of “SAS alternative” tools targeting data scientists, data analysts, and data team leads, is focusing on improving productivity of data analysis.

Features and Benefits

  • Dissects Dataiku's approach to making data science more productive and collaborative.
  • Positions Dataiku in the emerging self-service big data tooling landscape.

Key questions answered

  • How does Dataiku compare to other emerging players offering tooling for deploying machine learning?
  • How does Dataiku differentiate from players such as Alteryx and H2O?

Table of contents

Summary

  • Catalyst
  • Key messages
  • Ovum view

Recommendations for enterprises

  • Why put Dataiku on your radar?

Highlights

  • Background
  • Current position

Data sheet

  • Key facts

Appendix

  • On the Radar
  • Further reading
  • Author

Recommended Articles

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