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Introduction

Natural language processing (NLP) technology is changing analytics on two different levels: enabling users previously unexposed to analytics to work with data, and enabling enterprises to unlock untapped data sources.

Highlights

  • At the user interface (UI) level, NLP lets users search, filter, and analyze data sets in natural language, without the need to code.

Features and Benefits

  • Evaluates recent applications of NLP technology and how it is changing the way users interact with analytics solutions.
  • Identifies how NLP-powered analytics solutions can help glean insights from previously untapped data sources.

Key questions answered

  • How is NLP changing the way users interact with analytics solutions?
  • How can NLP-powered analytics solutions help glean insights from previously untapped data sources?

Table of contents

Summary

  • Catalyst
  • Ovum view
  • Key messages

Recommendations

  • Recommendations for enterprises
  • Recommendations for vendors

Natural language search, preparation, and analysis brings analytics to new audiences

  • Query data on your own terms
  • Data preparation as easy as ABC
  • Advanced statistics is no longer a foreign language

Natural language output helps all users to understand their data

  • Natural language generation: when your data does the talking
  • Building trust with natural language explanation

NLP unlocks more data sources

  • Shedding light on some dark data
  • Getting emotional with NLP
  • Moving toward market consolidation

Appendix

  • Methodology
  • Further reading
  • Author

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