# An interactive data cube supporting the sale of a SaaS business

> A private-equity-backed SaaS business · Private Equity

Forensic revenue and churn analytics, delivered as interactive dashboards, withstood investor scrutiny and reinforced the valuation of a SaaS business during its sale.

## What was the problem?

A private-equity-backed software-as-a-service business needed a robust analysis of revenue and churn, including upsell, cross-sell and downsell, to support vendor due diligence ahead of a sale. The customer behaviours that drive SaaS valuations are notoriously hard to quantify from raw sales data.

## What did QuantSpark do?

QuantSpark built repeatable data-engineering workflows to clean and transform the raw sales data, then developed a logic framework to identify and automate the calculation of churn, upsell and cross-sell metrics. Business performance and customer behaviour were visualised in a suite of interactive dashboards.

## What changed?

The dashboards became a critical component of the information memorandum supporting the sale and withstood scrutiny in the investor data room, helping to reinforce an attractive valuation. The client retains the dashboards to monitor business health and inform decisions day to day.

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Canonical page: https://quantspark.ai/case-studies/saas-vendor-due-diligence-data-cube
More about QuantSpark: https://quantspark.ai/llms.txt