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 organizationsand as different teams use ABI toolsto 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 ofanalytics, BI and data
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Strategic Planning Assumptions
- Alibaba Cloud
- 亚马逊网络服务
- Domo
- GoodData
- Google
- IBM
- Incorta
- Microsoft
- MicroStrategy
- Oracle
- Pyramid Analytics
- Qlik
- Salesforce (Tableau)
- SAP
- SAS
- Sisense
- Tellius
- ThoughtSpot
- TIBCO Software
- Zoho
- 一个alytics Catalog
- Automated Insights
- Collaboration
- Data Preparation
- Data Science Integration
- Data Source Connectivity
- 数据讲故事
- Data Visualization
- Governance
- Metrics Store
- Natural Language Query
- Reporting
- Business Analyst
- Augmented Consumer
- Data Scientist
- 一个alytics Developer
Gartner Recommended Reading
Critical Capabilities Methodology
一个alysts:
Julian Sun,Kevin Quinn,David Pidsley,Georgia O'Callaghan,一个irudh Ganeshan,Christopher Long,W. Roy Schulte,Aura Popa,Edgar Macari,Fay Fei,Kurt Schlegel,Radu Miclaus,Joe Antelmi