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Introduction

This report is a primer for analytics-driven enterprises and vendors and helps explore this space and determine its future direction.

Highlights

  • Over the next five years, the evolution of the UI/UX, data management tools, and platform portability will hold the greatest appeal to enterprises.

Features and Benefits

  • Assesses 18 different self-service analytics solutions and their position in the market.
  • Identifies the trends that will shape the self-service analytics market over the next five years.

Key questions answered

  • What should self-service analytics vendors invest in to address their growing market?
  • What should enterprises look for when choosing a self-service analytics platform?

Table of contents

Summary

  • Catalyst
  • Key messages
  • Ovum view

Recommendations

  • Recommendations for vendors
  • Recommendations for enterprises

Defining and exploring self-service analytics

  • Making enterprises' everyday decisions data-driven
  • Self-service analytics market developments and differentiators
  • Enterprise adoption drivers for self-service analytics solutions

Market landscape and participants

  • The mix of self-service analytics providers
  • A market moving toward some consolidation
  • Self-service analytics market outlook
  • Maturing self-service analytics solutions
  • Vendor landscape

Self-service analytics: Where is it heading next?

  • Code-free, human UIs to bring in the next users
  • Adding value with data management tools
  • Helping enterprises to build a strong data culture
  • Hybridity and portability will dominate the next five years
  • Baked-in visual analytics

Vendor profiles

  • IBM: Bringing cognitive to self-service analytics
  • Oracle: Embedded self-service on functional/industry clouds
  • Microsoft: The most ubiquitous self-service analytics vendor
  • SAS: Self-service for a broad sweep of users, novice to expert
  • SAP: Self-service paradigm across a massive portfolio
  • Tableau: The pioneer of self-service analytics, going strong
  • Qlik: Visual analytics for the enterprise
  • Chartio: Agile analytics solution growing quickly past its start-up status
  • Logi: Visualization, analytics, and embedding
  • MicroStrategy: Focused on enterprise data discovery
  • Domo: Facebook meets self-service analytics
  • Yellowfin: Collaborative dashboarding and reporting
  • GoodData: Cloud analytics geared to "data monetization"
  • Birst: Networked analytics with self-service
  • Amazon QuickSight: Native analytics for Amazon data
  • Salesforce: Ramping up on the adoption curve
  • Datameer: Data discovery for Hadoop, end to end
  • Looker Data Sciences: Analytics on live data

Appendix

  • Methodology
  • Further reading
  • Author

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