Unlock your data
Trusted data is the foundation everything else gets built on
Good decisions depend on trustworthy data, whether that’s numbers, documents or records. When different parts of your organisation work from different versions of the same information, spread across disconnected systems, decisions get harder to defend. We build the strategy, governance and platforms that consolidate dispersed, unreliable data into a single source of truth your teams, your board and your regulators can all work from.
Data strategy & governance
We co-design practical governance frameworks that satisfy funding acquittals and regulatory obligations without slowing you down. What you get is data with a clean bill of health.
Data platforms & engineering
We build the platforms, including Microsoft Fabric and Power BI, that store, move and prepare your data reliably, so it’s ready the moment you need it.
Data integration & data science
We connect data across systems that were never designed to talk to each other, then turn it into insight through analysis and modelling.
Looking for data strategy, governance or AI enablement?
Why Integral for data services
Content to come
How we work with you
Understand
We start with your business, your constraints and what "good" looks like for you, not a generic playbook.
Define
We work with your leadership team to define the direction, the operating model changes required, and the business case that gets it funded.
Prove
Every recommendation is tested against evidence — audits, data, stakeholder input — so it holds up when it's questioned.
Govern
We help put the governance in place to keep the direction on track once delivery starts, so the strategy doesn't drift.
Relevant Capabilites
Our teams bring together expertise in business strategy, brand experience and technology enablement to provide you with the right solutions at the right time for your organisation.
Explore below our capabilities in this area.
Establishing the frameworks that keep AI use safe, accountable and compliant, so adoption doesn't outpace the controls needed to manage it responsibly.
See all capabilitiesSetting direction for where and how AI should be used, matched to real business problems and organisational readiness, rather than chasing the technology for its own sake.
See all capabilitiesShaping how your organisation is perceived and remembered, from positioning and value proposition through to the brand architecture that holds it together as you grow or change.
See all capabilitiesTranslating a business problem into clear requirements, so what gets built or changed actually solves the problem it was meant to solve.
See all capabilitiesBuilding the numbers, risks and benefits case that gets an initiative past a board or investment committee, in a form that survives scrutiny.
See all capabilitiesBuilding the internal skills, ways of working and tools your teams need to sustain a new direction once we've stepped back.
See all capabilitiesHelping people move through significant change, including how roles adapt in an AI era, so a new direction actually gets adopted rather than resisted.
See all capabilitiesHelping you meet regulatory and legislative obligations without slowing the business down, from framework design through to practical implementation.
See all capabilitiesUnderstanding who your customers are, what they need and how they engage, then building a strategy that aligns customer experience with business priorities.
See all capabilitiesProtecting systems, data and people from security threats, from assessment and strategy through to defence and incident response.
See all capabilitiesDefining where digital should take your organisation next, grounded in evidence. We set direction across channels, platforms and customer touchpoints, ensuring investment decisions align with business outcomes.
See all capabilitiesAssessing your technology landscape end to end, identifying what to keep, retire or rebuild, and setting the target state that every other technology decision gets measured against.
See all capabilitiesRunning workshops and sessions that get the right people in a room and out again with a clear decision or plan, not just a conversation.
See all capabilitiesEstablishing the frameworks and decision rights that keep strategic and operational decisions accountable, transparent and defensible under scrutiny.
See all capabilitiesRedesigning team structures, roles and decision rights so the organisation underneath a strategy can actually deliver it, including how AI reshapes day-to-day work.
See all capabilitiesGathering and interpreting evidence - market, customer or stakeholder - so decisions are grounded in what's actually happening, not assumption.
See all capabilitiesIdentifying and planning for the things that could go wrong, so risk appetite and mitigation are built into decisions rather than bolted on afterwards.
See all capabilitiesIdentifying, engaging and managing the people who can affect or be affected by a piece of work, so support is built in rather than assumed.
See all capabilitiesSequencing major change so value lands early and momentum doesn't stall halfway through, mapping the path from where you are now to where you're heading.
See all capabilities
FAQ's
If you can't find the answer here, just ask...Data strategy sets the direction for how data should be collected, managed and used. Data governance is the framework that keeps it accountable: who owns it, how quality is maintained, and how it's used responsibly. We often deliver both together, but they solve different problems.
Usually the former. Most data problems come from how systems are connected and governed; the platforms themselves are rarely the culprit. We assess what you've got, including Microsoft Fabric, Power BI or other platforms, before recommending anything new.
We build governance frameworks that produce evidence as a by-product of how data is managed day to day. When an acquittal or audit comes around, it draws on data that's already trustworthy, so there's no scramble at reporting time.
It depends on how many systems and how much history you're consolidating, but most organisations see meaningful improvement within a few months, well before every system is fully integrated.
No. Trustworthy data pays for itself in better day-to-day decisions and cleaner compliance, whatever your AI plans. It's also the first step if you do want AI outcomes later — that work sits under Put AI to work once your data foundation is solid.
Insights
UPDATE FOR SECTOR - Explore insights on digital strategy, operating models and governance, with practical thinking to help organisations make better decisions and deliver lasting value.