If data is so important, why is it treated as an afterthought?
Have you noticed how data is always deemed “critical,” yet we’re not always so sure who is accountable for it?
You invest in platforms, hire data scientists, implement new controls, yet areas of your organisation continue to view data as an afterthought. If data is indeed the company’s crown jewel, why do many business leaders find it difficult to secure cross-functional buy-in—or even basic engagement—when it matters most?
The challenge is this: without explicit value assignment, engagement in data never fully takes hold. Meaning, discussion of “strategic assets” fizzles into a maze of projects, policies, and good intentions.
Unseen data value
Too often, a critical data project shudders to a halt (or at least fails to deliver as well as it could have done), when business functions don’t allocate the right resources or align vital processes.
This means the right incentives for treating data as an asset are not in place. Fragmented incentives lead to fragmented data. And fragmented data leads to untapped potential.
What we’re missing is a shared, commercial language—a clear articulation of what data is genuinely worth, to whom, and why. The assumption that “everyone values good data” is only really true when people can identify the business impact.
When the value of data is unseen, champions for better data remain isolated, rarely empowered to enact enduring change.
Value incentivises data as a team sport
Picture an organisation where data is priced—not just protected. Where you can evaluate the contribution of supplier master data to reducing procurement costs, or see failure data improving asset uptime. Finance recognises commercial benefits, risk teams observe reduced exposure, and operations witness inefficiency decline—not because they “care about data”, but because they recognise the pounds (or other currency) at stake.
Cross-functional teams cease debating “ownership” because they’re united by visible cause-and-effect: when neglect costs money, focus follows. Data that enhances performance is resourced, managed, and protected. Functions align, not from compliance fatigue, but from shared self-interest.
Reframing the game through strategic data asset management
Data value is central to the discipline of Strategic Data Asset Management (SDAM). An approach that shifts us from data as a cost, to a business-first mindset of cost vs. benefit.
Instead of asking, “Which dataset is broken?” leaders ask, “Which data impacts the bottom line?” (then, “Which can we fix to drive the value we need.”)
Data teams move from playing internal service desk to steering collective effort towards measurable commercial outcomes.
Imagine treating your key datasets like regulated assets, complete with valuation, stewardship, and clear performance targets. If every function understood not just “how” they interact with data, but “why” it matters to strategy, risk, and results, true transformation is much more likely.
How we help
At Anmut, we assist data leaders in achieving this vision. Using our data valuation approach, companies like BDO have enhanced their decision-making capabilities. We developed a bespoke data valuation framework for BDO, aligning their data investments with business strategies.
This framework facilitated a shift towards a more strategic, data-driven approach, enabling them to prioritise data investments and laying the groundwork for long-term strategy.
What next?
If you’re ready to shift data management from an obligation to the means to leverage a strategic asset—we’d love to chat. Owning your business’s future begins by truly understanding your data’s worth.
Ready to turn data management into a true team sport? Get in touch.