CMaps Analytics

CMaps Analytics

CMaps Analytics is a business intelligence and data visualization software that allows users to connect to various data sources, create interactive dashboards and reports, and share insights. It provides self-service BI capabilities for non-technical users.
CMaps Analytics screenshot

CMaps Analytics: Business Intelligence & Data Visualization Software

A business intelligence and data visualization software for interactive dashboards, reports, and self-service BI for non-technical users.

What is CMaps Analytics?

CMaps Analytics is a business intelligence and data visualization platform designed to help companies unlock insights from their data. Some key capabilities and benefits include:

  • Intuitive drag-and-drop interface to build interactive dashboards and reports without coding
  • Connect to various data sources such as SQL, NoSQL databases, cloud apps, etc.
  • Perform ad hoc analysis with support for filtering, pivoting, forecasting and more
  • Visualize data through charts, graphs, gauges, maps and other graphics
  • Pixel perfect reporting for print-ready reports and dashboards
  • Collaboration features to share insights across the organizations
  • Scheduling and alerts to monitor KPIs
  • Role-based access control to manage users and permissions
  • On-premise and cloud deployment options available

With its self-service model, CMaps Analytics enables a range of users from business analysts to department heads access data and create their own reports without IT help. It aims to make data more understandable and accessible to drive business decisions across the organization.

CMaps Analytics Features

Features

  1. Connect to various data sources
  2. Create interactive dashboards and reports
  3. Provide self-service BI capabilities for non-technical users
  4. Share insights and visualizations

Pricing

  • Subscription-Based

Pros

User-friendly interface for non-technical users

Wide range of data source connectivity

Customizable dashboards and reports

Collaborative features for sharing insights

Cons

Limited advanced analytics and modeling capabilities

Potential performance issues with large datasets

Pricing may be on the higher end for small businesses

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