Published: 03 May 2022
Summary
Data and analytics leaders should begin provisioning capabilities that support analytic consumers as well as authors. This research will help guide their choices of vendor solutions in the analytics and BI space.
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Overview
Key Findings
Buyers often consider ecosystem (cloud, database, application) compatibility as more important than the functional differentiation of the platform. But best-of-breed features and competitive pricing are still important buying criteria.
Data storytelling, automated insights and reporting are the most differentiated capabilities based on standard deviation of the capability scores for all 20 vendors. Data source connectivity, security and catalogs are the least differentiated.
The collision between the analytics and business intelligence (ABI) platform and the data science and machine learning markets is a dominant trend. Several ABI platform vendors added data science and machine learning functionality, enabling business analysts
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- Alibaba Cloud
- Amazon Web Services
- Domo
- Google
- IBM
- Incorta
- Microsoft
- MicroStrategy
- Oracle
- Pyramid Analytics
- Qlik
- Salesforce (Tableau)
- SAP
- SAS
- Sisense
- Tellius
- ThoughtSpot
- TIBCO Software
- Yellowfin
- Zoho
- Security
- Governance
- Cloud-Enabled Analytics
- Data Source Connectivity
- Data Preparation
- Catalog
- Automated Insights
- Data Visualization
- Natural Language Query
- Data Storytelling
- Natural Language Generation
- Reporting
- Visual Self-Service Analytics
- Enterprise Analytics
- General Analytics
- Augmented Analytics
Gartner Recommended Reading
Critical Capabilities Methodology