Breaking down silos: practical steps towards interoperability and data sharing

Many organisations want to share data and get their systems to work together. But in practice, they quickly run into obstacles – old structures, unclear ownership, and solutions that simply don’t fit together.

Writing a requirement that systems should “be interoperable” or “enable data sharing” is necessary, but it doesn’t guarantee it actually works. The reality in most organisations is a system landscape that’s grown over many years, often creating data silos that neither talk to each other nor share information easily. The organisational silos between departments can be just as much of a barrier as the technical ones.

Moving from that landscape to one where data flows freely and securely, and systems collaborate to deliver better services, takes a practical plan – the journey from requirement text to information management that actually works.

Six steps from intention to reality

1. Start with the business value. Technology is a means, not the goal. Find concrete cases where better data sharing or system interoperability creates clear value – a more efficient process, better-informed decisions, or a new service for your customers or citizens. Start small, with a pilot that has a clear goal and a measurable outcome.

2. Map your digital landscape. You need to understand what you have before you can change it. Which systems exist? Where does your critical data live? What do today’s data flows look like, manual or automated? A thorough baseline gives you a realistic picture of the biggest silos and dependencies.

3. Build clear data governance. Who owns the data? What’s its quality? What rules apply to sharing it, internally and externally? Without clear answers to those questions, data sharing risks creating more problems than it solves.

4. Design for sharing, not point-to-point. Many organisations have built integrations between individual systems over time, which quickly becomes hard to maintain. Open APIs and a shared integration platform let you share data and functionality in a controlled, scalable way.

5. Move in increments. Don’t try to solve every need at once. Prioritise what delivers the fastest, biggest value, ship in smaller steps, and adjust the plan as you learn.

6. Build the skills and the culture. Working with APIs, data models, and governance takes knowledge that many organisations need to develop. Just as important is building a culture where departments share across boundaries instead of each optimising for themselves.

Succeeding here means turning your digital assets – systems and data – from isolated islands into a connected network that delivers real value. That means more efficient processes, better-informed decisions, a better experience for your customers or citizens, and greater digital control, because you can put your data and systems to full use without being limited by a single vendor.

Are you ready to take the practical steps to break down your silos?

Is your organisation struggling with data silos or poor interoperability? Book a meeting and let’s talk about where to start.