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Self-service analytics vendors today face new challenges: how can they shield users from the growing technical complexity of their solutions, and how can they help enterprises manage and govern more users working on more data?


  • New UIs are leveraging natural language programming and user journey prediction to help both new and experienced users glean insights from their data.

Features and Benefits

  • Identifies noteworthy features offered in new self-service analytics solutions.
  • Evaluates future development opportunities for analytics vendors.

Key questions answered

  • What new tools and capabilities are self-service analytics vendors introducing to address solutions' increasing technical complexity and the growing number of users?
  • What are the key trends driving the analytics market?

Table of contents


  • Catalyst
  • Ovum view
  • Key messages


  • Recommendations for enterprises
  • Recommendations for vendors

In front of the screen: manipulating and visualizing data is more intuitive than ever before

  • UIs that speak users' language
  • Advanced analytics is just a click away

Behind the screen: managing and analyzing data no matter where it sits

  • Easy-to-use tools to manage an increased data load
  • Analyzing scattered data as if it were in one place

Beyond the screen: analytics is as much about people as it is about technology

  • Collaboration tools to embed insights in the enterprise context
  • Fostering an active user community to ensure analytics solutions are used to their full potential

Going further, embedded analytics and single-platform approaches will drive investments

  • Cloud-based analytics platforms and baked-in analytics will facilitate data-driven decision-making


  • Methodology
  • Further reading
  • Author

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