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      Family businesses have long relied on instinct. Many of the most successful enterprises were built by owners who understood their customers, products and markets deeply, often better than any spreadsheet could capture. But seeing how brands and retailers can win with data demonstrates that this strength is no longer enough on its own. In an environment of tighter margins, volatile demand and complex value chains, the ability to turn data into decisions has become a defining competitive factor.

      When data exists but insight does not

      The challenge, as the article highlights, is not access to data. Most businesses are already sitting on vast amounts of information, about customers, pricing, stock, suppliers and operations. The problem is that much of this data never meaningfully informs strategy. Leaders struggle with fragmented systems, inconsistent quality and an inability to translate insight into action. For family businesses, this gap can be especially acute because data capability has often grown organically rather than deliberately.

      Shashi Prashad

      Tax Partner KPMG Enterprise

      KPMG in the UK


      Olivia Edwards
      Olivia Edwards

      Family Business Relationship Lead

      KPMG in the UK


      Why data has become a strategic asset

      What makes this issue strategic, rather than technical, is that every major decision now depends on data. Whether assessing trade‑offs between growth and margin, deciding where to invest capital, or understanding emerging consumer shifts, data underpins the choices that shape long‑term value. Family owners with patient capital and multi‑generational horizons cannot afford to make these calls based on partial information or instinct alone.

      A key message from the article is that data readiness is essential, not optional. Data is no longer a support function; it is a core asset. Yet many organisations only use a fraction of what they collect, while struggling to manage the rest. This creates risk as much as inefficiency. Decisions made on incomplete or poorly understood data may feel quicker, but they often produce unintended consequences downstream, from supply chain stress to missed market opportunities.


      Culture, confidence and letting data challenge assumptions

      The root causes identified will feel familiar to many family leaders. Data sits in silos. Quality issues introduced at source ripple through the organisation. And perhaps most critically, senior teams may lack the confidence, or humility, to let data challenge long‑held assumptions. In family businesses, where leadership tenure can span decades, this last point is particularly sensitive. Letting numbers override instinct can feel like letting go of identity, rather than improving judgement.

      This is why the article’s emphasis on culture over tools is so important. While legacy technology and fragmented systems matter, they are rarely the biggest barrier. The real shift is behavioural. A data‑friendly culture asks different questions: What are we not seeing? Which assumptions need testing? Where does evidence contradict our gut feel? These questions must be modelled from the top. If owners and senior leaders do not visibly interrogate the data driving decisions, the rest of the organisation will not either.

      For family businesses, leadership role‑modelling is amplified. When owners demonstrate curiosity, invite challenge and reward data‑led insight, it legitimises change throughout the business without undermining values or authority. This is not about replacing experience with dashboards. It is about using data to extend experience, particularly as businesses scale beyond the personal reach of the founding generation.


      From specialist analytics to everyday decision making

      The examples in the article show how leading organisations are making this practical. Data is embedded into everyday workflows, shared across functions and presented in ways that answer real business questions. Importantly, insight does not live with specialists alone. When teams are trusted to use data, and supported to develop literacy, decision‑making accelerates rather than slows.

      One of the most relevant ideas for family enterprises is the distinction between Big Data and Thick Data. Numbers show what is happening; human insight explains why. Family businesses are well placed here. Their closeness to customers, employees and markets provides rich contextual insight that can complement analytics, not compete with it. The opportunity is to combine both, using data to spot patterns and people to interpret meaning.


      Sharpening judgement for the long term

      Ultimately, winning with data is not about being more digital than competitors. It is about being more intentional. Family businesses that treat data as a strategic asset, invest in leadership capability and embed insight into decision‑making will be better equipped to manage complexity without losing their distinctive edge.

      In this sense, data does not dilute family leadership; it sharpens it. The journey starts at the top, not with dashboards, but with mindset.





      MTD

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