Overview
What is Mode?
Mode, or Mode Analytics, from ThoughtSpot since the June 2023 acquisition, is a business intelligence platform that unifies company analytics by bringing data teams and business teams together, so analysts can provide rapid answers to strategic, ad hoc questions. And,…
Awards
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Popular Features
- Customizable dashboards (9)8.484%
- Pre-built visualization formats (heatmaps, scatter plots etc.) (9)7.777%
- Integration with R or other statistical packages (9)7.474%
- Formatting capabilities (9)6.868%
Pricing
Entry-level set up fee?
- No setup fee
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
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Product Demos
Introducing Big Values
Introduction to Explorations
Introduction to Calculated Fields
Introduction to Python Edge
What Is Visual Explorer?
Introduction to Parameters
Features
Product Details
- About
- Integrations
- Competitors
- Tech Details
- Downloadables
- FAQs
What is Mode?
Mode, or Mode Analytics, from ThoughtSpot since the June 2023 acquisition, is a business intelligence platform that unifies company analytics by bringing data teams and business teams together, so analysts can provide rapid answers to strategic, ad hoc questions. And, business stakeholder can access relevant data to answer their own questions which can often detract more impactful work.
With Mode as a central hub for a company’s analysis, data teams and business teams can work with data together with the goal of creating operational efficiency, increasing data literacy, and turning data into a competitive advantage.
Mode Features
BI Platform Features
- Supported: Live Connection to External Data
- Supported: In-memory data model
Supported Data Sources Features
- Supported: Oracle
- Supported: MS SQL Server
- Supported: Postgres
- Supported: MySQL
- Supported: Salesforce
- Supported: Google Analytics
BI Standard Reporting Features
- Supported: Customizable dashboards
Ad-hoc Reporting Features
- Supported: Drill-down analysis
- Supported: Formatting capabilities
- Supported: Predictive modeling
- Supported: Integration with R or other statistical packages
- Supported: Report sharing and collaboration
Report Output and Scheduling Features
- Supported: Publish to Web
- Supported: Publish to PDF
- Supported: Output Raw Supporting Data
- Supported: Report Delivery Scheduling
Data Discovery and Visualization Features
- Supported: Pre-built visualization formats (heatmaps, scatter plots etc.)
- Supported: Predictive Analytics
- Supported: Support for Machine Learning models
- Supported: Integration with R or other statistical packages
Access Control and Security Features
- Supported: Multi-User Support (named login)
- Supported: Role-Based Security Model
- Supported: Multiple Access Permission Levels (Create, Read, Delete)
- Supported: Single Sign-On (SSO)
Application Program Interfaces (APIs) / Embedding Features
- Supported: REST API
Mode Integrations
Mode Competitors
Mode Technical Details
Deployment Types | Software as a Service (SaaS), Cloud, or Web-Based |
---|---|
Operating Systems | Unspecified |
Mobile Application | No |