Published: 14 May 2019
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.
Included in Full Research
- 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
- Critical Capabilities Rating