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#23

Sisense For Product Teams is ranked #23 in the Embedded Analytics Tools product directory based on the latest available data collected by SelectHub. Compare the leaders with our In-Depth Report.

Sisense For Product Teams Benefits and Insights

Why use Sisense For Product Teams?

Key differentiators & advantages of Sisense For Product Teams

  • Accelerated Time to Market: Save time otherwise spent on deployment and scaling; avail onboarding support from the vendor. Agilely adapts to address business needs, and shortens the time-to-value cycle, with a low cost of ownership. 
  • Easy White Labeling: White-label and fully customize the look and feel with zero-code UI customization. Deliver insights within any application while matching the brand’s interface and native functionality for a seamless experience. 
  • Highly Extensible: Adapt to rapidly changing needs with an API-first platform and deliver analytics when and how customers need it. Embed dashboards and visualizations into applications, extend capabilities and automate processes through an extensive suite of APIs, SDKs and Add-on Framework. 
  • Self-Service BI: Uncover game-changing business insights to power decision-making at all levels of the organization through easy-to-use and intuitive analytics, built on a unique semantic data layer and augmented analytics that enables data democratization. “Simply Ask” answers data queries and helps create forecast and trends models through the power of AI and machine learning. Go beyond embedded analytics to ask data questions in conversational, natural language. 
  • AI-Powered: Augment every analysis with predictive analytics and machine-learning. Delight customers with forward-looking insights automatically created by AI algorithms accessible to all — no tech expertise required. 
  • Cloud and Deployment Flexibility: Scale on demand with cloud, on-premises and hybrid deployment options. Deploy any way and anywhere with an agnostic microservices architecture. 
  • Seamless Data Preparation: Connect to all data from external databases through a semantic layer to analyze data over live or cached data models. Deliver real-time insights from existing data warehouses and data structures, and leverage the rapid prototyping layer with cached data as needed to minimize query costs and accelerate time to value. 
  • End-to-End Governance: Integrate with existing ecosystems to deliver secure and seamless analytics that provides multi-level security including role-based and data-level security, performance monitoring and SSO integrations, scaled via automation through an extensive suite of APIs. 

Industry Expertise

Sisense is an industry leader in embedded analytics, enabling product teams the world over in a wide range of industries including finance, technology, healthcare, manufacturing, supply chain and logistics to use their proprietary information in building product and data experiences.

Sisense For Product Teams Reviews

Average customer reviews & user sentiment summary for Sisense For Product Teams:

User satisfaction level icon: great

1971 reviews

88%

of users would recommend this product

Key Features

  • Embeddability: Embed data management, reporting and visualization capabilities directly into any application with both low-code and code-first approaches for maximum flexibility. 
  • Extensibility: Extend functionality by using a rich set of Javascript APIs in dashboards, widgets and add-ons. 
  • Automation APIs: Scale, manage and automate the integration and deployment processes with an extensive set of REST APIs that covers the entire platform and workflow. 
  • Seamless UI: Rebrand the interface for a native look, logic and feel, enabling an enhanced analytics experience in-application. Customize the UI to match the brand’s fonts, colors, styles and image formatting through white labeling and more.  
  • Data Source Integration: Integrate data from a multitude of sources from the cloud, in-application and on-premises for a 360-degree view. Pull data from both relational and NoSQL databases through parameterized database connections. Analyze data directly on top of existing data warehouses like Snowflake, Redshift, BigQuery or through a cached data layer for minimized query costs and rapid prototyping. 
  • Code-Free Data Management and Analysis: Identify actionable insights from patterns and outliers in data through data exploration, transformation, blending and visualizations powered by its unique semantic data layer and UI-driven capabilities. Interact with data in real time through drill-down, slicing and dicing and more for truly self-service BI. 
  • Data Governance: Ensure integrity of sensitive data through robust data governance. Prevent data loss through secure write-backs to multiple data sources in real-time. 
  • Code-Driven Analytics: Deliver on advanced use cases, build data pipelines and create visualizations for faster results with SQL, R & Python-based code-driven analytics. 
  • Data Visualization: Present data trends and patterns through dashboards and reports that simplify data analysis through intuitive, interactive and easy-to-understand visualizations. 
  • Augmented Analytics: Dig deeper and empower data-driven decision-making through AI and machine learning that deliver descriptive and predictive insights in natural language and UI-based capabilities empowering the everyday user. 
  • Reporting & Alerting: Share reports in a variety of export formats and save time through automated scheduling for recurring reports. Create conditions to trigger proactive alerts when a KPI value exceeds or falls below a predefined value. 
  • Cloud-Native Platform: Build analytics on a containerized microservices architecture to scale resources on demand and integrate into any ecosystem. 

Limitations

Some of the product limitations include:

  •  Attempting to export more than 1.5 million cells in a pivot table can result in a timeout 
  •  Mobile UI isn't user friendly 
  •  Does not work well with complex and large data sets 

Suite Support

The support ticket portal is available to all customers. For self-paced issue resolution, search the knowledge base or engage with community forums. Or, go through other resources on the vendor’s website that include dashboard examples, online documentation, whitepapers and eBooks, brochures, case studies, a glossary and a blog.

All paid subscribers get a designated Customer Success Manager who serves as their main point of contact. New customers may avail onboarding services from dedicated consultants who accelerate time to value. Subscribe to the vendor’s premium support plan, the Enterprise Elite Service, for hands-on service including proactive support, a designated technical support consultant, continued BI consultation past onboarding, as well as on-site training and workshops.

Service hours are Sunday through Friday 24/7, excluding local national holidays, with response times varying based on the priority of the issue and the support terms.

mail_outlineEmail: Direct email support is not available.
phonePhone: Direct phone support is not available.
schoolTraining: The vendor offers an online Learning Management University with detailed training plans and content to all customers. “Getting Started” training, product tutorials and online educational training sessions are available on the vendor’s website. Or, attend webinars, including in-depth Masters Training sessions on best practices and maximizing value from the solution. The vendor regularly offers training events both virtual and in-person, available via registration fee or coupon voucher. Many third-party partners also offer training and certification courses for the platform.
local_offerTickets: Click the “Submit Ticket” button on the support page, with or without signing in to an account, and then raise a request through the support form.

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