Driven by growing operational risk and lack of agility associated with its legacy and end-of-life ETL tools, the UK’s leading mental health charity has implemented a modern integration platform to improve data quality, governance and delivery speed. Richard Bailey, Head of Digital, Data Platforms and Analytics at Mind, discusses how the charity has improved data quality and reliability, meaning its teams are now able to spend less time manually manipulating data and more time focusing on helping those in need of mental health support.
Mind, the UK’s leading mental health charity, has announced it is using SnapLogic’s Agentic Integration Platform to modernise its data infrastructure, improve data quality and governance and accelerate the delivery of insights that support fundraising, campaigning and mental health services.
The charity’s mission is to create a mentally healthy society and fight for a future where no mind is left behind. As demand for mental health support continues to grow across the UK, Mind identified the need to become a more data-driven organisation, ensuring teams can trust their data, respond faster to supporters and scale digital initiatives without relying on fragile, opaque, or end-of-life integration tools.
From legacy risk to modern, in-house integration
Prior to adopting SnapLogic, Mind relied on a combination of third-party-managed ETL tools, including platforms that were approaching or had reached end of life. This created significant operational risk, limited visibility into how data was flowing across systems and slowed the organisation’s ability to respond to change. Updates often took months, costs were rising and internal teams lacked the autonomy needed to evolve integrations in line with business priorities.
With SnapLogic, Mind has brought integration capability in-house, giving its Data, Digital and Technology (DDaT) team full visibility and control over data pipelines, while applying consistent data governance across its CRM and wider data ecosystem.
Within nine months of active use, Mind has built four times more active data flows and pipelines than it was able to deliver previously, significantly reducing delivery timelines and removing dependence on external developers.
“SnapLogic put the power back in our hands,” said Daniel Eels, Data & CRM Projects Lead, Mind. “We now have visibility, control and confidence in our data pipelines. What used to take months and carried constant risk, can now be delivered quickly, reliably and in line with our governance standards. That has a direct impact on how effectively we support our teams, our supporters and ultimately the people who rely on Mind.”
Better data, better outcomes for supporters and campaigns
By improving data quality and reliability, Mind’s teams are now able to spend less time manually manipulating data and more time focusing on high-value work, such as engaging supporters, responding faster to enquiries and building trust through accurate, consistent information.
Manual processes that previously consumed days or weeks each month have been automated through SnapLogic pipelines, freeing staff to focus on care-driven and mission-critical activities. As a result, Mind has seen improved collaboration across teams, clearer ownership of data responsibilities and stronger relationships with internal and external stakeholders.
Laying the foundation for Agentic AI and future innovation
Beyond immediate operational gains, Mind is using SnapLogic to establish a scalable, governed foundation for future automation and AI initiatives. With integration standardised across the organisation, SnapLogic is positioned as the central conduit for data flowing between Mind’s enterprise applications, supporting improved data literacy internally and enabling experimentation with Agentic AI use cases.
“Non-profits like Mind are under enormous pressure to do more with limited resources,” said Nick Pike, GM EMEA at SnapLogic. “By modernising its integration architecture with SnapLogic, Mind has eliminated hidden risk, accelerated delivery and created a trusted data foundation that directly supports its mission. This is exactly the kind of impact agentic integration is designed to deliver, especially for organisations where every insight, every response and every hour matters.”
Looking ahead, Mind plans to expand its use of SnapLogic to further improve data quality, streamline enterprise processes and explore Agentic AI capabilities, including the use of intelligent agents to accelerate standard workflows and support emerging digital initiatives.
Richard Bailey, Head of Digital, Data Platforms and Analytics at Mind, expands on this, offering valuable insight into the overarching technical benefits the solution has provided.
What stood out to you about SnapLogic over other vendors and how would you summarise the partnership so far?
SnapLogic stood out for us because it offered a modern, intuitive integration platform that could be brought in-house, giving us full ownership of our data pipelines without reliance on third parties. Unlike legacy tools, it combines low-code usability with enterprise-grade capability, allowing our teams to move faster while maintaining strong governance.
The partnership so far has been highly collaborative and empowering, with Snaplogic working alongside our teams to ensure we get the maximum value out of our investment. Implementing SnapLogic has enabled us to regain control, accelerate delivery and build confidence in our data, creating a strong foundation for ongoing innovations.
What was the main driver behind the decision to replace legacy and end-of-life ETL tools with a modern integration platform?
The primary driver was the growing operational risk and lack of agility associated with our legacy and end-of-life ETL tools. These systems limited our ability to respond to changing business needs, slowed delivery timelines and made it difficult to scale as demand for digital services increased.
We needed a modern, flexible platform which could be managed in house that would support our ambition to become a more data-driven organisation while ensuring data quality, trust and responsiveness across the charity.
What were some of the biggest operational risks or infrastructure limitations created by your previous integration environment?
Our previous environment introduced several critical risks and limitations, including reduced visibility into how data was flowing across systems, a reliance on third parties for development and maintenance, slow delivery cycles with updates often taking months, rising costs associated with legacy tooling and external resources, a fragmented approach with multiple solutions for different integrations and the use of end-of-life platforms that increased the risk of failure and lack of support. These factors combined to create a fragile and opaque integration landscape that constrained our ability to scale and innovate while requiring extensive effort to support and maintain.
From a data centre and cloud infrastructure perspective, how has moving to a unified integration platform improved visibility, governance and control across distributed environments?
Moving to a unified platform has given us end-to-end visibility across all our data pipelines, regardless of where the systems are hosted. We now have consistent governance applied across our CRM and wider data ecosystem ensuring data is managed, transformed and shared in a controlled and auditable way.
Bringing integration in-house has also given us direct control over how data flows across cloud and on-premise environments, reducing risk and enabling faster, more confident decision-making.
Can you give examples of how SnapLogic’s platform has improved data flow efficiency, scalability, system reliability, or the utilisation of underlying infrastructure resources?
SnapLogic has delivered improvements across multiple areas of our setup, allowing manual processes that previously took days or weeks to be automated, significantly reducing effort and accelerating workflows. By implementing different instances, we can scale our operations and rapidly increase the number of active pipelines by separating out our development, test and live environments, enabling us to handle more data flows without increasing risk or complexity. Pipelines are now more stable and governed, reducing risk and improving the consistency of outputs. Teams now spend less time on data preparation and more time on high-value activities like supporting services and engaging stakeholders. These gains have directly improved operational performance and allowed us to better support our mission.
Mind has significantly increased the number of active data pipelines since implementing SnapLogic – what technical or operational changes enabled that acceleration?
The acceleration was driven by several key changes, including bringing integration capabilities in-house to remove dependency on external developers, adopting low-code development to enable faster pipeline build and deployment, implementing a standardised architecture to support reuse and scalability and improving visibility and control so teams could iterate quickly and safely.
Looking ahead, what are your priorities for continuing to modernise and maintain Mind’s data infrastructure and how will you ensure it can scale to meet growing demand?
We’re looking to build on the strong foundation we’ve established by further improving data quality and governance across all systems, expanding automation to streamline enterprise processes, scaling integration capabilities to support growing digital demand and introducing Agentic AI and intelligent automation, including the use of AI-driven workflows. By continuing to standardise integrations on SnapLogic and building reusable code blocks, we able to ensure scalability whilst maintaining strong governance practices and enabling our teams to iterate quickly as new requirements emerge.
