Question: I need a platform that enables non-technical users to build and maintain customer-facing analytics without requiring coding knowledge.

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Vizzly

If you're looking for a platform where non-technical users can create and manage customer-facing analytics without needing to write code, Vizzly is a good option. Vizzly has a no-code builder for creating interactive analytics experiences with low technical overhead. Key features include customizable dashboards, self-serve reporting, and native SDK-based embedding for popular frameworks. The platform is designed to help businesses quickly add analytics capabilities, improve user experience and speed time to market.

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DataChat

Another good option is DataChat, a no-code, generative AI platform that turns complex data into actionable insights through a familiar spreadsheet and chat interface. Users can upload data and ask questions to get AI-generated answers, using built-in machine learning and predictive analytics. DataChat automates data preparation and modeling, making it a good fit for data scientists, analysts and business users who need to make fast and confident decisions without writing code.

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Upsolve AI

For businesses that want to share data insights with customers without a lot of engineering work, Upsolve AI offers a customer-facing analytics service with a drag-and-drop interface for building dashboards. It connects to popular databases and data warehouses, providing deep usage analytics to see how customers are using their products. The service lets businesses quickly build and update analytics dashboards to better engage and retain customers.

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Tabula

Last, Tabula is an AI-infused, no-code platform for data teams that combines, transforms and visualizes data. It automates workflows, integrates with widely used data tools, and provides real-time insights, making it a good fit for a wide range of use cases across different departments. With features like custom metrics, reports and auto analysis, Tabula is designed for both technical and non-technical users and can be deployed as on-premise, cloud, or desktop apps.

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