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Offer your customers an all-in-one data platform, under your own brand. Tailored for integrators, software companies, consultants, agencies and other experts that work with end-customer data.
Offer your customers an out-of-the box data platform, as an extension of your existing services. Adapt the offering with your own templates, custom reports etc.
Quickly switch context from one customer to another. Get instant access to data per customer and build bespoke data solutions per customer with Peliqan’s low-code Python scripts and magical SQL.
Combine CRM data with production data, eCommerce data, Excel files or any other source in order to build up custom reports, build 360° customer views, implement RevOps dashboards etc.
Each customer can connect to your white-label data warehouse with their preferred BI tool, such as Microsoft Power BI, Tableau, Qlik, Looker, Metabase or any other BI tool.
Go beyond analytics, make data interactive, perform writebacks and apply machine learning with just a few lines of code.
Enjoy direct unified data access from your code. Write, test, run all in one place.
Analyze your data with SQL or in a spreadsheet.
Enable business users with controlled self-service data access.
Create views for “human in the loop” processes.
Build custom reports in HTML, PDF…
Build internal apps using low-code Python to make datasets interactive.
Replace complex user interfaces with a targeted UI for knowledge workers.
Implement data migrations using SQL and low-code Python.
Peliqan is an all-in-one data stack on top of your SaaS apps and DBs.
Work with your data in a spreadsheet that is always up-to-date.
Create charts and visualize your data in dashboards.
Reconcile your invoicing data, product data, customer data etc.
Apply machine learning models on your data with low-code python.
Implement reverse ETL flows and writebacks to send data to any SaaS.
Get real-time access to your raw data.
Get your data in a data warehouse instantly, with a few clicks.
Use SQL on your raw data to view, share and transform data.