Sisense

Sisense

Sisense is a business intelligence and data analytics platform that provides tools for non-technical users to easily prepare, analyze and visualize complex data. It allows users to connect multiple data sources, build interactive dashboards and share insights across the organizat
Sisense image
analytics dashboards data-visualization

Sisense: Business Intelligence and Data Analytics Platform

Sisense is a business intelligence and data analytics platform that provides tools for non-technical users to easily prepare, analyze and visualize complex data. It allows users to connect multiple data sources, build interactive dashboards and share insights across the organization.

What is Sisense?

Sisense is a business intelligence and data analytics software platform designed to help non-technical users prepare, analyze and visualize complex data. Some key features of Sisense include:

  • Intuitive drag-and-drop interface for building interactive dashboards and visualizations like charts, graphs and pivot tables without coding.
  • Ability to connect to wide variety of data sources including databases, cloud apps, files, etc.
  • Robust data modeling and transformation tools for combining and preparing disparate datasets for analysis.
  • Sophisticated analytics engine and machine learning algorithms provide insights into trends, outliers and predictions.
  • Scalability to handle billions of rows of data and sub-second query response times.
  • Collaboration features like annotations, alerts and sharing of dashboards across the organization.
  • Flexible deployment options including on-premise, cloud and hybrid models to suit IT infrastructure requirements.

With its self-serve BI capabilities and governance controls, Sisense makes it easy for companies to democratize analytics, embed data-driven decision making and achieve a competitive edge.

Sisense Features

Features

  1. Drag-and-drop interface for building dashboards
  2. Connects to wide variety of data sources
  3. Embedded advanced analytics like statistical, predictive modeling, etc
  4. Interactive visualizations and dashboards
  5. Collaboration tools to share insights across organization
  6. Supports large and complex datasets
  7. Customizable to specific business needs and workflows
  8. Mobile and web access

Pricing

  • Subscription-Based
  • Pay-As-You-Go
  • Custom Pricing

Pros

Intuitive interface for non-technical users

Quick and easy data preparation

Powerful analytics capabilities

Great performance with large datasets

Flexible pricing options

Broad compatibility with data sources

Collaboration and sharing features

Cons

Steep learning curve for advanced features

Limited customization options for dashboards

Requires additional licensing for some data connectors

Not ideal for small or simple datasets

Can be expensive for larger deployments


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