Delivering Business Intelligence transformation for a global healthcare SaaS provider

QuantSpark's tailored Business Intelligence solution transformed a global healthcare SaaS provider's performance visibility, enabling data-driven decisions and unlocking growth potential across its portfolio.

The problem

The client, a global SaaS provider in the healthcare sector, was acquired by a UK private equity firm pursuing an aggressive buy-and-build growth strategy.

Having integrated multiple organisations under one umbrella, the board needed cohesive, cross-portfolio visibility to optimise the expanding organisation. Each business unit had its own billing systems, contract structures, and operational nuances. This siloed data environment prevented consistent metrics calculation and financial reporting across the business.

Without a centralised database and analytics platform, the firm's leadership lacked the necessary insights to monitor key performance metrics such as revenue retention, churn rates, and sales conversion rates. Centralising disparate data sources into a unified business intelligence (BI) solution was critical for gaining strategic oversight, benchmarking performance, and driving data-driven decision-making to maximise post-acquisition value creation.

The solution

To address the lack of cross-portfolio visibility, QuantSpark partnered with the firm to conduct a holistic assessment across the business units, evaluating data sources, stakeholder needs, operational workflows, and reporting requirements.

We developed a multi-phased BI roadmap outlining the data integration, infrastructure, and advanced analytics capabilities required to unlock centralised reporting and actionable insights. This included a data quality audit and reporting suite wireframes aligned with the board and leadership's needs.

Deploying our ready-to-go ProjectCube infrastructure, our team implemented a scalable data warehousing solution and bespoke data pipelines to consolidate the various billing systems, CRMs, and operational data sources across the business into a unified data model.

With this single source of truth, we created a suite of BI dashboards tailored for cross-portfolio financial intelligence and growth analytics. These dashboards deliver real-time visibility into KPIs such as revenue retention, annual recurring revenue (ARR), sales forecasting, and customer segments.

Business impact

Visibility enhancement

The BI suite deployment provided the client unprecedented visibility into their business performance. They now have access to timely and accurate data on key metrics across the entire group, including revenue retention, churn rates, and sales metrics. This enables them to track progress against core KPIs and swiftly identify areas of concern.

Strategy evaluation

With comprehensive performance data at their fingertips, the client became better equipped to evaluate the success of their buy-and-build strategy. They could assess each business unit's performance individually and identify optimisation or expansion opportunities. Moreover, the BI solution facilitated revenue forecasting, supporting future exit opportunities.

Data maturity advancement

The BI solution enabled centralised data reporting across all business units for the first time. A unified data warehouse and standardised reporting processes were established company-wide, providing a solid foundation for data-driven decision-making and future advanced analytics work.

Importantly, it created a well-organised, consistent data source that increases company valuation potential by providing clear insight into growth drivers—a major asset for any potential sale.

Capabilities

QuantSpark delivers tailored business intelligence solutions that boost performance visibility and strategic decision-making. Our expertise in data integration, advanced analytics, and scalable infrastructure ensures clients achieve a unified view of their operations, enabling data-driven insights and growth.

Through tailored BI platforms and actionable dashboards, we empower businesses to optimise performance, evaluate strategies, and enhance their data maturity for long-term success.