Question: I need a platform to build custom data analysis dashboards for my business, can you suggest one?

If you want a foundation for building your own data analysis dashboards for your business, Polymer is a good option. This AI-powered dashboard creation service turns raw data into insights and can link to multiple data sources. It's got more than 20 data connectors, can offer real-time insights with automated dashboard updates, and can be customized to fit your brand's style. With AI-driven insights, pre-built templates and the ability to share and collaborate, Polymer makes data-driven decisions more accessible to everyone.

Another good option is ILLA Cloud, which lets businesses build custom data analysis dashboards and internal apps. It includes tools to build interactive pages, link to different data sources, and add AI agents to analyze that data. ILLA Cloud is geared for web developers, design agencies and companies that want to automate their operations and cut costs. It offers a free tier, a premium tier for $20 per month and an enterprise tier for $50 per month with dedicated support.

If you need to embed dashboards directly into an app, Explo is a good option. This embedded analytics service is geared for product and engineering teams, with connections to relational databases and data warehouses. Explo offers customizable analytics experiences, styling configurators to match native apps, and supports a broad range of use cases like SaaS platforms and e-commerce. Its enterprise-grade security meets industry standards, so it's a good option for companies that need serious analytics.

Last, Morph is an AI-powered data assistant that makes data accessible and usable for everyone involved. It can consume data from many sources, process it and export results without any programming. Morph supports a range of SQL databases and offers features like querying, visualization and reporting. With a free tier and a Pro tier for $99 per month, Morph is a good option for businesses that want to get data analysis up and running quickly and automate some of the heavy lifting.