Published: 17 April 2023
Summary
Data and analytics leaders should provide optimal analytics experience to multiple personas for collaborative decision making. This research will help guide their choices of vendor solutions in the analytics and BI space.
Included in Full Research
Overview
Key Findings
Multipersona users — including analytics developer, business analyst, augmented consumer and data scientists — are all using analytics and business intelligence (ABI) platforms for different purposes, requiring more comprehensive ABI solutions that converge capabilities from data science and machine learning platforms.
Governance concerns are rising as multiple ABI platformsare introduced into organizations and as different teams use ABI tools to define metrics with their own business logics.
Self-service analytics doesn’t meet the promise of business value, and organizations are looking for more prebuilt analytics content to better serve the users.
Recommendations
To maximize value from the use of analytics, BI and data
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Strategic Planning Assumptions
- Alibaba Cloud
- Amazon Web Services
- Domo
- GoodData
- Google
- IBM
- Incorta
- Microsoft
- MicroStrategy
- Oracle
- Pyramid Analytics
- Qlik
- Salesforce (Tableau)
- SAP
- SAS
- Sisense
- Tellius
- ThoughtSpot
- TIBCO Software
- Zoho
- Analytics Catalog
- Automated Insights
- Collaboration
- Data Preparation
- Data Science Integration
- Data Source Connectivity
- Data Storytelling
- Data Visualization
- Governance
- Metrics Store
- Natural Language Query
- Reporting
- Business Analyst
- Augmented Consumer
- Data Scientist
- Analytics Developer
Gartner Recommended Reading
Critical Capabilities Methodology
Analysts:
Julian Sun,
Kevin Quinn,
David Pidsley,
Georgia O'Callaghan,
Anirudh Ganeshan,
Christopher Long,
W. Roy Schulte,
Aura Popa,
Edgar Macari,
Fay Fei,
Kurt Schlegel,
Radu Miclaus,
Joe Antelmi