🚀 All your Zero Friction data in your own Azure storage, every night

🚀 Build your own reports and dashboards in your own analytics tools

With Lakehouse as a Service, you receive your operational data every night in an Azure storage account that you manage yourself.

That includes contracts, customers, meters, consumption, invoices and payments.

You connect your own reporting tool or data warehouse straight to that storage, for example Power BI, Microsoft Fabric, Databricks or Synapse.

That way, you build the analyses you need yourself, for financial follow-up or regulatory reporting. No more stitching exports together in a spreadsheet.

Two examples of reports you build yourself on your Lakehouse data.

See per project how much is outstanding, how old that debt is and which debtors need the most attention.

You also see which collection step works best. Does a second reminder with a fee pay off, or should you offer a payment plan sooner?

This report is built entirely on data from Zero Friction.

Example reports with fictional data.

Combine your Zero Friction data with your other systems, such as asset management and your ticketing tool.

That way, you see heat loss, complaints, open debt and vacancy for a heat network on one screen.

You also see which units need attention today. For example, a resident without heat and a faulty delivery set, or a vacant unit that still shows consumption.

Example reports with fictional data.

Want to use Lakehouse as a Service?
Lakehouse as a Service is available at an additional cost.

Get in touch with our sales team. Once the additional cost is agreed, we turn on the connection for your organisation.

After that, you enter your Azure storage details yourself and test the connection.

Every night, you get a full copy of the supported data, history included. Yesterday's data is ready for you in the morning.

You need your own Azure Data Lake Storage Gen2 account for this.

One reliable source for your own reporting, without building and maintaining a data warehouse yourself.