Data is everyone’s business

• Data is everyone’s business, not just the Chief Data Officer’s. Sustainable data transformation requires accountability from the entire C-suite, with leaders actively owning how data is created, governed, and used across their functions.
• Strong data foundations are essential for business performance and AI success. Organisations that prioritise data quality, governance, and ownership are better positioned to improve decision-making, accelerate operational efficiency, and unlock value from AI.
• Leadership, not technology, is the catalyst for data-driven advantage. When organisations embed data ownership across teams, they can move beyond compliance, reduce inefficiencies, improve customer outcomes, and turn data into a source of competitive advantage.

It’s time to challenge one of the most persistent myths in business: that data is solely the Chief Data Officer’s (CDO’s) problem. The reality is if your data strategy fails, accountability doesn’t lie with the CDO alone. It sits with every leader in your organisation.

That might sound harsh, but it’s a truth that the C-suite can no longer afford to ignore. For too long, financial services firms have looked to the CDO as the saviour of data transformation. However, if the data that defines and underpins your entire organisation depends on one person to succeed, your data strategy is already at risk.

Firms that want to lead with data must start by leading on data. That means C-suite executives taking genuine accountability for how data is created, governed, and used within their functions. When leaders model that behaviour, it empowers their teams to think and act beyond their immediate silos, breaking down organisational boundaries to make data everyone’s business.

Rethinking the role of data

Historically, many financial services firms have treated data as a compliance issue. Their data management programmes have been largely defensive and reactionary in nature, focused on quality and integrity, governance and risk, and adherence to internal policies or external regulatory requirements. The result is that the way data is defined and flows through core functions lacks dedicated focus, leading to a disparate landscape of data, with limited enterprise-wide utility.

With the emergence of the CDO role, some thought they’d found a silver bullet. At last, there was a single person to own data, ensure it was fit for purpose, and take accountability for it all. However, no individual, no matter how talented, can drive lasting change in isolation.

This is especially true where data is concerned, given that it is created, consumed, transformed, and analysed across every function. Risk data originates in risk management under the CRO, operational data is generated in core business lines under the COO, and so on. Each function produces data that flows upstream and downstream, changing and accumulating dependencies as it moves through the business.

It is unrealistic and unreasonable to think that a centrally appointed person can manage and resolve this complexity on their own. Until organisations recognise this fundamental truth, their data transformation initiatives will fall short of their full potential.

Without collective leadership, data goes nowhere

When data fails to generate value, the root cause is more often leadership than technology. For data initiatives to succeed, business leaders must actively take ownership of data and work proactively to improve it. This is especially important as AI adoption accelerates. At its core, AI is advanced data science and organisations without strong data foundations will find themselves unable to realise its potential, regardless of the sophistication of the tools they deploy.

This collective ownership must be championed by the CEO and carried through every C-suite role, embedding data into the fabric of leadership. That means taking concrete steps to improve data quality and deploying it to maximum effect.

Where executives lead, their teams follow. Wherever data is captured, created, or processed, everyone is responsible for ensuring it is handled correctly and applied where it delivers real impact. For data to work for the business, everyone must work properly with data.

In practice, this is less complex than it sounds. It requires people, systems, and processes operating in concert, but when broken into its component steps, the principle is straightforward.

Consider an insurer that approached Baringa to accelerate its financial close process. On closer examination, we found that critical data was not being captured during underwriting. When filing time arrived, the Chief Underwriting Officer (CUO) had to retrieve this information retrospectively from the team. By bringing this gap to the attention of senior underwriters, coaching them in the right procedure, and having management monitor the team’s reporting, the insurer achieved a material improvement in first-time data capture, reducing rework downstream and speeding up the financial close. They did so without a major technology overhaul or large-scale data remediation programme, simply by providing the right education to the right people.

When data is everyone’s business, the entire business benefits

When organisations approach data holistically, they begin to extract value from it in ways that were previously out of reach. With the right foundations and leadership in place, data stops feeling like a compliance obligation. It becomes a genuine source of competitive advantage and a catalyst for breakthrough innovation, including use of AI. When data is well-governed, clearly understood, and structured with the whole business in mind, it sharpens decision-making across every function and removes the friction that so often impedes strategic initiatives, change programmes, and customer responsiveness.

Organisations that capture the right data and develop the right analytical capabilities can begin identifying forward-looking patterns and embedding real-time data-driven decisions directly into operational processes. For example, when insurers gain the ability to capture and analyse more granular data on their customers, the benefits multiply exponentially, making it possible to segment customers with greater precision, assess risks and adapt interactions dynamically, and personalise propositions.

The same applies across financial services:

• In customer experience, creating an enterprise product hierarchy with clear data definition gives banking and capital markets leaders greater transparency into the services and capabilities that matter most to their customers, enabling more informed decisions about where to focus and invest
• In functional strategy, business functions that clearly define their data strategy and map it directly to customer objectives and growth priorities can move from reactive data management to purposeful, outcomes-driven execution
• In mergers and acquisitions (M&A), a clear understanding of data systems and architecture allows organisations to approach M&A activity with greater confidence, surfacing integration risks and complexities early, before they become costly obstacles in large-scale programmes.

This is the difference between treating data as a problem to manage and recognising it as an asset to maximise. And that shift doesn’t begin with technology, but with leadership. If you are in the C-suite, that evolution starts with you. Consider:

• Is your team equipped with the right skills and standards to handle data responsibly?
• Which decisions could be sharper, faster, or better informed by data?
• What would it take to move data from a compliance obligation to a source of competitive advantage?

The organisations that will win in the years ahead are those whose leaders take these questions seriously today.

Ready to make data everyone's business? Contact Baringa to learn how we can help you unlock lasting advantage from your data strategy.