Blind Veterans UK
The Mission:
Blind Veterans UK recognised that disconnected systems, inconsistent processes and unreliable data were limiting its ability to make informed decisions. With supporter and beneficiary information spread across multiple databases (and effectively siloed), the charity lacked a complete picture of the people it served and had little confidence in the quality and consistency of its data.
As the organisation prepared for a new website and wider digital transformation initiatives, it saw an opportunity to take a step back and assess its data landscape. Blind Veterans UK partnered with Euler to identify data quality issues, uncover opportunities for improvement and create a roadmap towards stronger governance, more efficient processes and a future single customer view.
Euler helped BVUK unlock value from its existing supporter data by combining data cleansing, enrichment and predictive modelling.
Working alongside trusted partners to enhance supporter records with additional demographic insight, Euler created a stronger foundation for identifying supporters most likely to re-engage with the charity.
Using this enriched dataset, Euler developed a propensity model to rank supporters according to their likelihood of responding to future campaigns. This enabled Barnardo's to focus marketing investment on the audiences with the greatest potential, while also uncovering new prospect opportunities and testing more targeted fundraising messages.
Why did Blind Veterans UK undertake a data landscape review?
The charity wanted to better understand the quality, structure and governance of its data, while identifying opportunities to support future fundraising, service delivery and digital transformation initiatives.
How did Euler assess the charity's data environment?
Euler reviewed databases, processes and governance practices across the organisation, working with stakeholders from multiple teams to build a complete picture of the existing data landscape.
What challenges were uncovered during the review?
The analysis identified issues including disconnected systems, inconsistent processes, duplicate records and missed opportunities to gain insight from supporter and beneficiary data.
How did the roadmap support future transformation?
The final roadmap provided clear, prioritised recommendations to improve data quality, strengthen governance and create the foundations for a future single customer view.
Performance Highlights:
Here's what we achieved through a combination of data, technology and expertise.
The review highlighted critical data quality issues that were limiting confidence in organisational data.
Previously hidden relationships between supporters and beneficiaries were uncovered.
The charity gained a complete understanding of its fragmented data landscape and a roadmap for future improvement.
Blind Veterans UK:
The Euler team were methodical and thorough, finding the right people to talk to about every detail. It was particularly helpful that they were able to engage with staff effectively, breaking down barriers and winning buy-in.
Head of Customer Services & Data Management, Blind Veterans UK
Mechanica
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See how Blind Veterans UK created a clearer path to better decision-making:
Learn how to uncover hidden data challenges
Discover the path to a single customer view
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