Question: How can I turn my data into revenue streams by building analytics directly into my product?

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Sisense

If you want to monetize your data by adding analytics directly to your product, Sisense is a good option. It lets you add sophisticated analytics to your apps with a combination of pro-code, low-code and no-code abilities. Sisense Fusion and Compose SDK let you add interactive and personalized insights with AI-powered features that are easy to use and understand. That's good for developers and product managers who want to offer users insights that are tailored to their needs and that can lead to revenue.

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Explo

Another option, Explo, is an embedded analytics service geared for product and engineering teams. It lets you add interactive dashboards and self-serve reporting to your apps. Explo can connect to many relational databases and data warehouses, offer customizable analytics experiences and ad-hoc reporting. The service is secure, with SOC II Type 2, GDPR and HIPAA compliance, and can be used for SaaS platforms, e-commerce and fintech.

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Vizzly

Vizzly is another option for modern SaaS companies that want to quickly build, share, embed and deliver data-driven experiences. It includes a no-code builder for creating interactive analytics dashboards with self-serve reporting. Vizzly offers native SDK-based embedding for popular frameworks and a powerful Theme API for UI customization, so it's not hard to add analytics abilities to your app.

Additional AI Projects

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Athena

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Kyligence

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Avian

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Rasgo

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Statsig

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Tabula

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Monterey AI

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Polymer

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Onvo

Create interactive charts and insights with simple AI prompts, eliminating the need for complex queries and customizations.

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B2Metric

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Baresquare

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Airtable

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Databar

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Sprig

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Arch

Centralizes data from multiple systems, presenting unified metrics for each portfolio company, and automates data warehousing and ELT orchestration for efficient customer management.

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Zeda

Centralize customer feedback, gain actionable insights, and create revenue-driven roadmaps with AI-powered product management tools, driving data-driven decisions and business growth.