Indicative
Indicative is a business intelligence and data analytics platform that helps companies analyze data to gain insights. It allows users to connect data from various sources, build dashboards and reports, track KPIs, and create data models.
analytics
dashboards
data-modeling
Indicative: Business Intelligence and Data Analytics Platform
Indicative is a business intelligence and data analytics platform that helps companies analyze data to gain insights. It allows users to connect data from various sources, build dashboards and reports, track KPIs, and create data models.
What is Indicative?
Indicative is a business intelligence and analytics software designed to help companies make data-driven decisions. It allows users to connect their data from various sources like databases, cloud apps, and more to create interactive dashboards and reports.
Some key features of Indicative include:
- Data connectors to integrate data from sources like MySQL, Postgres, Salesforce, HubSpot, etc.
- Drag-and-drop interface to build customizable dashboards with advanced visualizations like charts, tables, gauges, and more
- Query editor to analyze data using SQL and create cohorts for segmentation
- Alerts and scheduled reports to monitor KPIs and get notifications about changes
- Collaboration tools to share insights across the organization
- REST API and database connections to build custom apps and integrations
- Role-based access control to manage permissions
Indicative serves companies across many industries like retail, finance, media, ecommerce, and more. Its intuitive interface makes it easy for non-technical users to analyze data while also providing advanced functionality for more technical users. The platform can scale to handle large data volumes as company data needs grow.
Indicative Features
Features
- Data connectors to integrate data from various sources
- Interactive dashboards and reports
- KPI tracking
- Data modeling and predictive analytics
- Collaboration tools
Pricing
- Freemium
- Subscription-Based
Pros
Intuitive drag and drop interface
Prebuilt templates and workflows
Automated insights and recommendations
Scalability to handle large data volumes
Integration with BI tools like Tableau and Looker
Cons
Steep learning curve for beginners
Limitations in customization compared to open source options
Dependence on proprietary algorithms for insights
Limited access to underlying data infrastructure
Official Links
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