Detailed project case study
Softcat FTSE 250 & London Stock Exchange Data Programme
A major data and BI programme that strengthened the quality, availability and credibility of business information as Softcat progressed through its London Stock Exchange and FTSE 250 journey.
Delivered BI and data transformation capability that supported Softcat’s public-market journey, improving governance, automation, forecasting and executive decision-making.
The challenge
A high-growth business entering a listed-company environment needed more consistent, governed and trusted reporting. Fragmented reports, manual spreadsheets and inconsistent definitions were becoming commercial and governance risks, while leaders needed clearer views of sales, revenue, forecasting, performance and operational risk.
What I delivered
- Owned and evolved the BI estate across SQL Server, SSIS, SSRS, QlikView and Qlik Sense.
- Converted operational and commercial data into governed reporting and executive-level insight.
- Delivered forecasting and opportunity analytics that made commercial decisions faster and more evidence-led.
- Embedded security, governance and compliance controls into reporting processes and platform ownership.
- Delivered more than 25 global automation and analytics projects across the wider BI programme.
- Improved ITSM processes and monitoring to strengthen operational reliability around the reporting estate.
Technologies & methods
The delivery combined platform, integration, data and operating practices appropriate to the project boundary.
Business impact
Global automation, analytics and operational projects delivered across the programme.
CV source confirmed · Ryan Turnbull CVMonthly work hours saved through automation and BI delivery.
CV source confirmed · Ryan Turnbull CVRevenue influence attributed to analytics and data-driven solutions.
CV source confirmed · Ryan Turnbull CV- Supported stronger reporting maturity and more confident executive decision-making.
- Saved more than 1,000 work hours each month through automation.
- Influenced organisational revenue by 13% through analytics, opportunity insight and forecasting.
- Improved the governance, consistency and operational credibility of business data.
Why this project matters
This is a heavyweight proof point: data in a high-growth, high-scrutiny environment cannot be decorative. The programme had to support board-level decisions, public-market expectations and operational scale while remaining usable by the teams running the business.