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    Industries

    The data problem is rarely generic.

    Every organisation has its own history, systems and internal politics. What differs by sector is the constraint: who has to approve a data use, how a decision gets funded, and what a regulator, funder or customer expects to see.

    Each sector page leads with work we have delivered, from company wide data strategy at DC Thomson to product direction at Games Jobs Live and indicator reporting for Flexible Childcare Services Scotland.

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    Trusted by ambitious organisations across Scotland and the UK.

    Choose your sector

    Four sectors where we go deepest.

    Our experience in these sectors helps us understand the context faster, ask better questions and focus on the Data and AI work that will make a difference.

    Financial Services

    Trusted reporting, AI governance, risk and fraud, cloud platforms

    For banks, insurers, lenders, wealth managers and fintech firms where every data decision eventually has to be explained to a regulator, an auditor or a board.

    Related work: governed reporting and definitions at DC Thomson, AI readiness with South of Scotland Enterprise.

    Explore Financial Services

    Health

    Clinical and operational analytics, information governance, AI readiness

    For NHS organisations, healthcare providers and health technology companies balancing statutory reporting with the operational questions services need answered.

    Related work: indicator definition and reporting design for Flexible Childcare Services Scotland.

    Explore Health

    Media & Publishing

    Audience intelligence, subscription growth, commercial analytics

    For publishers connecting audience behaviour, subscription value and commercial performance into decisions editorial and commercial teams share.

    Related work: company wide data strategy, executive KPI reporting and data academy work with DC Thomson.

    Explore Media & Publishing

    Digital Products & SaaS

    Product analytics, customer behaviour, AI enabled products, data products

    For product led businesses where activation, retention and expansion decisions depend on definitions and instrumentation that have to hold as the platform scales.

    Related work: product roadmap and customer insight work with Games Jobs Live, pipeline automation for Spirits Spyder.

    Explore Digital Products & SaaS

    What changes by sector

    The architecture repeats. The constraints do not.

    Sector context decides the order of the work: what counts as acceptable evidence, who signs off a data use, and how quickly a decision can move from analysis to action.

    Financial Services

    The constraint
    Every figure has to be explainable to a regulator, an auditor or a board, and the lineage behind it has to hold up months later.
    What it changes in delivery
    Definitions, ownership and access control are agreed before reporting is built, and AI use cases are scoped against what can be evidenced rather than what is technically possible.
    Where the conversation usually starts
    Reporting that different teams calculate differently, or an AI ambition with no agreed governance position behind it.

    Health

    The constraint
    Statutory reporting takes priority over the operational questions services actually need answered, and information governance shapes what can be joined together.
    What it changes in delivery
    Indicator definitions come first, then reporting designed for the people running services, with governance handled as part of delivery rather than after it.
    Where the conversation usually starts
    Manual returns absorbing skilled time, or operational teams working from numbers they cannot interrogate.

    Media & Publishing

    The constraint
    Audience, subscription and commercial data sit in separate systems owned by separate teams, each with its own working definitions.
    What it changes in delivery
    A shared set of measures across editorial and commercial, supported by platform work and internal capability building so the reporting stays trusted.
    Where the conversation usually starts
    Executive reporting that takes days to assemble, or editorial and commercial teams disagreeing about the same audience.

    Digital Products & SaaS

    The constraint
    Instrumentation and definitions written for an early product rarely survive scale, and product decisions move faster than governance.
    What it changes in delivery
    Event design and metric definitions treated as product assets, with analytics built around activation, retention and expansion decisions.
    Where the conversation usually starts
    Product and revenue teams reporting different numbers, or a roadmap decision that current data cannot support.

    Also relevant

    Other sectors we work in.

    The same disciplines apply, with different constraints and different language.

    Public Sector

    Public bodies balancing transformation ambition with budget scrutiny and public accountability.

    Professional Services

    Partner led firms turning specialist knowledge into organisational capability.

    Buying questions

    Working with a sector specialist: questions we are asked.

    For anyone deciding whether sector experience matters as much as data capability.

    The technical patterns repeat, but the constraints do not. What counts as acceptable evidence, who has to approve a data use, how quickly a decision can be made and what a regulator or funder expects are all sector specific. Those constraints determine the order in which work can be delivered, which is why sector context changes the plan even when the architecture looks familiar.

    Most of our engagements begin with a conversation rather than a sector page. If your sector is not listed but the underlying disciplines of strategy, governed foundations, analytics and managed capability still apply, we will talk through the work that is most relevant to your situation.

    Yes. Most of our work happens inside estates that already exist, often Microsoft Fabric, Azure, AWS, Snowflake and Power BI alongside older systems that still carry important processes. We work with what is in place, and are direct about where a component is holding the organisation back.

    Governance is part of delivery rather than a separate workstream. Ownership, access, retention and the position on AI use are agreed with the people accountable for them, so reporting and AI work can be signed off as it is built instead of being reworked later.

    With a free thirty minute strategy call, then usually a short discovery period to understand your commercial objectives, decision making and current data position before any recommendation is made.

    Let's talk about your Data & AI priorities.

    Whether you're developing a data strategy, modernising your data platform, preparing for AI or tackling a specific business challenge, start with a 30-minute conversation with Inez.

    Book a Free 30-Minute Strategy Call

    Free. 30 minutes. Directly with Inez. No pitch.