Gartner Research

Critical Capabilities for Analytics and Business Intelligence Platforms

Summary

A&BI platforms are transitioning from delivering simple, manual self-service to supporting more advanced, automated analytic use cases via growing, augmented, ML-driven capabilities. Data and analytics leaders should enable broader use cases to increase their investments’ business impact.

Published: 14 May 2019

ID: G00381576

Analyst(s): James Richardson Rita Sallam Austin Kronz

Table Of Contents

What You Need to Know

Analysis

  • Critical Capabilities Use-Case Graphics
  • Vendors
    • Amazon Web Services (Amazon QuickSight)
    • Birst
    • ClearStory Data
    • Domo
    • IBM
    • Information Builders
    • Logi Analytics
    • Looker
    • Microsoft
    • MicroStrategy
    • Oracle
    • Qlik
    • Salesforce
    • SAP
    • SAS
    • Sisense
    • Tableau
    • ThoughtSpot
    • TIBCO Software
  • Context
  • Product/Service Class Definition
  • Critical Capabilities Definition
    • Admin, Security and Architecture
    • Data Source Connectivity
    • Cloud BI
    • Scalability and Model Complexity
    • Data Storage and Loading
    • Data Preparation
    • Metadata Management
    • Advanced Analytics for CDSs
    • Augmented Data Discovery
    • Interactive Visual Exploration
    • Analytic Dashboards
    • Mobile Exploration and Authoring
    • Embed Analytic Content
    • Publish, Share and Collaborate
    • Ease of Use/Visual Appeal/Workflow
  • Use Cases
    • Agile, Centralized BI Provisioning
    • Decentralized Analytics
    • Governed Data Discovery
    • OEM or Embedded BI
    • Extranet Deployment
    • Augmented Analytics
  • Vendors Added and Dropped
    • Added
    • Dropped

Inclusion Criteria

  • Critical Capabilities Rating

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