Sisense Embedded Analytics Software Pricing & Demo

Sisense Embedded Analytics Software
New York, USA
$101MN to $500MN
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Sisense Embedded Analytics Software USP

Key components of the platform include ElastiCube Manager – a visual environment to import, structure, and prepare data for analysis; Sisense Web – a browser environment to create, share, view, and administer dashboards; Server Console – a desktop application to manage system resources and ElastiCube; and third-party data access. Sisense embedded analytics can integrate into software, SaaS, or cloud application to offer data analytics and BI features to third parties. The platform offers comprehensive customization features such as multi-tenant security, SSO, embeddable widgets and dashboards, comprehensive data, and row-level security. Users can integrate other applications to enable authenticated access to Sisense without being prompted to enter separate login credentials. Users can embed the components of a dashboard into any web-based application – from the entire layout to individual visualizations widget – and embed Sisense widgets within their mobile apps. Request Sisense Embedded Analytics Software Pricing to get more information.


360 Quadrants

Strengths and Weaknesses
  • +12 R&D Spend
  • +12 Design
  • +13 Ease of use
  • +14 End-to-End solution
  • +9 Per User Basis
  • +10 Pricing
  • +11 Quality
  • +8 Subscription / Licensing
  • +10 On-Premise
  • +5 Consulting services
  • +14 Education and Training
  • +13 Support and maintenance
  • +8 Ad Hoc Querying
  • +13 Benchmarking and Data Modeling
  • +10 Big Data Management
  • +9 Customized Solutions Offered
  • +12 Data Access and Integration
  • +13 Data Discovery
  • +6 Interactive Dashboards and Reports
  • +12 Mobile Reporting
  • -10 Breadth and Depth of Product Offerings
  • -13 Focus on Product Innovation
  • -12 Product Differentiation and Impact on Customer Value
  • -8 licenses
  • -13 New Product Launched
  • -7 Products/Solutions Offered
  • -12 Product Offerings
  • -5 Customized Solutions Offered
  • -9 B2B applications/Internal
  • -8 Consumer applications
  • -11 Hosted / On-Cloud
  • -11 New Products/Extensions
  • -14 Data Quality
  • -6 Customer Service
  • -7 Full Time Equivalent
  • -7 Others
  • -6 Managed Services
  • -7 Other Services
  • -5 Data Availability, Integrity, and Security
  • -6 Other Functions
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Sisense Embedded Analytics Software presence in Embedded Analytics Software

Sisense provides embedded analytics applications such as In-Chip and Single Stack BI and has always been at the forefront in providing an exhaustive analytics product portfolio to its clients. The company has adopted both organic and inorganic strategies to fuel its growth. For instance, in April 2017, the company launched Sisense Pulse, which provides proactive, smart, and easily consumable notifications about a user’s most important business events, in real time when changes occur. In November 2016, Sisense launched Sisense BI Bots, the company’s latest innovation in the Sisense Everywhere program. Sisense BI Bots created a new way to consume and interact with business insights through AI, enabling everyday users and teams to engage in two-way instant message conversations about their data, using the messaging platform of their choice. Sisense’s partnership with Narrative Science in February 2017 enabled the integration of Narrative Science’s advanced Natural Language Generation (NLG) with Sisense Everywhere, to automatically transform users’ data and visualizations into intelligent narratives. Therefore, instead of manually interpreting complex analytical dashboards, users can simply ask relevant questions and receive real-time answers in natural language. Furthermore, the company continues to increase its geographical presence through expansions. In January 2016, the company secured USD 50 million in Series D financing, which it plans to utilize for simplifying analytics for large, multi-source data sets, while rapidly expanding business operations to support Sisense’s global growth.

Top Features

  1. Product Features and Functionality / Solutions Offered
  2. Solutions Offered / Real-time Data Analytics
  3. services / Education and Training
  4. Deployment Model / On-Premise
  5. Solutions Offered / Data Discovery
  6. services / Support and maintenance
  7. Solutions Offered / Data Access and Integration
  8. services / Consulting services
  9. Focus on Product Innovation / R&D Spend
  10. Solutions Offered / Static Reporting
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