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Enterprise Layer Intelligence
Categories/Business Intelligence/Sisense
Sisense

Sisense

Founded by Aviad Harell in 2004

Embed customizable interactive dashboards and data reporting directly into your web applications

Pricing model

Paid

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Sisense to embed custom dashboards, charts, and natural language query interfaces into your customer-facing applications. The system lets your developers connect existing data sources, create shared metric definitions, and enforce strict row-level security across multiple tenants. End users can ask questions in plain English, view automated explanations of metrics, and receive predictive trend alerts. With dedicated software development kits and flexible application programming interfaces, engineering teams can integrate visual data analytics while maintaining complete control over styling, user access, and data privacy.

What Sisense does

Build and embed custom data dashboards into external software applicationsConfigure row-level security rules for multi-tenant customer dataSet up standardized metric definitions across disparate data sourcesGenerate embed code for web applications using front-end development kitsCreate plain-language summaries of complex numerical datasetsSet threshold triggers for trend changes and predictive data alertsEmbed charts and dashboards directly into applications using the Compose SDKEnforce multi-tenant and row-level security at the query layerDefine shared formulas and governed metric definitions in a central semantic layerAllow users to query datasets using natural language conversationGenerate automated narrative summaries and root-cause explanations for metric shiftsTrack data anomalies and forward-looking trends with automated alertsExtend embedded analytics capabilities using custom code plugins

Pricing breakdown

Pricing model: Paid

Frequently asked

ZendeskZendeskGoogle AnalyticsGoogle AnalyticsSalesforceSalesforceTableauTableau

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Sisense, embedded analytics, customer-facing analytics, business intelligence, Compose SDK, data visualization, multi-tenant security, row-level security, semantic layer, natural language queries, dashboard embedding, predictive forecasting, automated reporting, trend tracking, data connectors