Empower your professional services team with an all-in-one low-code data platform to handle customer data at scale. Implement data syncs from your SaaS software to other platforms, perform efficient data onboarding, build dashboards on top of your software etc.
Offer your customers an out-of-the box experience and allow them to perform their own analytics using their favorite BI tool. Grow your revenue and create stickiness by offering your customers a data warehouse with your SaaS data.
Deliver data driven solutions to your customers that stick. With Peliqan you can easily connect to your customer data sources – including Excel files, SaaS business applications & databases – and build bespoke data solutions fast using your own SQL and low-code Python templates. You can easily manage a large amount of end-customers and efficiently switch between customer integrations.
Combine the data from your SaaS application with CRM data, production data, eCommerce data, accounting data, Excel files or any other source in order to build up solutions for your end-customers: custom reports, 360° customer views, RevOps dashboards, ML models for predictions etc.
Turn your SaaS data into charts and dashboards using any BI tool. Share dashboards with customers and push custom reports to Excel or PDF.
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. Manage custom Python code per customer at scale.
Analyze 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 solution.
Work with data in a spreadsheet that is always up-to-date.
Create charts and visualize data in dashboards.
Reconcile invoicing data, product data, customer data etc.
Apply machine learning models on data with low-code python.
Implement reverse ETL flows and writebacks to send data to any SaaS.
Get real-time access to raw data.
Get data in a data warehouse instantly, with a few clicks.
Use SQL on raw data to view, share and transform data.
