Implementing analytics stack without engineers

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Industry

Financial Services

employees

150+

website

https://molofinance.com/

About

Molo is the UK’s first digital native mortgage lender. Since launching in 2018 Molo have used technology to deliver simpler and faster online mortgage lending to make homeownership easier for everyone. They have led the change in the UK mortgage industry, delivering online mortgages to customers with both speed and efficiency.

30% reduction in time from application to offer for Molo customers.

£70,000 saved per year on data engineering resources to develop and maintain pipelines and related infrastructure.

Built a functional MVP data warehouse within a scope of weeks, and a rich data warehouse with hourly updates within the scope of months.

Challenges

Having previously used a production database for reporting and analysis, the Head of Data Analytics required a more analytics friendly infrastructure that would provide reliable insight and accurate data to all teams, in order to answer critical business questions.

The process of building the solution internally would have been lengthy and complicated, particularly as mortgage products have a complex data infrastructure. With limited resources available, the team sought a simpler route.

Molo transitioned to a modern analytics infrastructure with the implementation of Kleene.

Now, with a modern analytics stack, self-serve dashboards provide insight to all functions and ensure employees across the business are data-driven. Furthermore, the data surfaced can be used to make projections and fuel strategic decision making.

Solution

Kleene worked with Molo to eliminate their data silos and generated automated reports for performance and KPI measurement. Normalized sets of data have been generated, removing the previous requirement for SQL query to be written in Redash. Self-serve dashboards enable anyone in the business to access required data.

Kleene built a robust, purpose built data infrastructure the team can use to access granular data, and optimize performance and efficiency.

We needed a solution that offered the core foundations and enabled everyone to answer business questions in the most efficient way, without having to hire data engineers to solve common ETL problems or building a complex infrastructure to do so. Kleene has provided a simple and efficient solution which connects our data and provides every function with greater insight. The time saved through the automation of reports has been phenomenal – before we started automating reports, it was a nightmare. On a service level, the responsiveness and support we have received from the team has been amazing!