You can’t prioritise what you don’t value

Data leaders are caught in a high-stakes contradiction

Many are accountable for enabling better business decisions but often lack the authority to truly influence where and how data is invested. The result is a cycle of ambition without traction, initiatives without backing, and data that never quite earns its seat at the top table.

Most data strategies aim to align data with business outcomes. But despite bold visions, they often lack the frameworks to follow through. It’s far easier to talk about aligning data to business value than to prove it.

And without proof, most data transformations fall short. Data continues to be viewed as a cost, a liability, even a burden. The consequence for data leaders? Stalled initiatives. Sceptical stakeholders. A limited voice at the top table.

Many data leaders lament their lack of boardroom influence. But this will never change as long as data’s impact remains ambiguous and unmeasured. That ambiguity lies at the heart of the modern CDO’s dilemma – they are tasked with enabling smarter, faster business decisions, while the organisation continues to treat data as an overhead.

Budgets are tight. Priorities are unclear. Yet expectations are sky-high. In this environment, data leaders are left to navigate a paradox: accountability without authority.

Caught between push and pull

Data initiatives are driven by two competing forces: push and pull.

  • Push factors include, compliance pressures, ageing infrastructure, and operational inefficiencies, which demand investment out of necessity. This is about risk reduction and keeping the lights on.
  • Pull factors include, AI innovation, data-driven products, competitive advantage, which are mostly about aspiration.

Pull factors are often strategic, value-generating motivations, that data promises but often struggles to deliver visibly.

While push factors often justify initial spend, it’s pull factors that sustain long-term investment. But without a mechanism to quantify and communicate the value of data, pull outcomes remain speculative and ambiguous.

This makes long-term investment hard to justify.

What’s missing? A business lens on data

To shift from tactical execution to strategic influence, data leaders need a way to frame both sides of the equation: cost and benefit. Only then can they build an effective business case and speak in terms that resonate at the executive table.

This is the role of Strategic Data Asset Management.

A framework for treating data as a managed, measurable asset, just like any other core resource in the enterprise. It helps answer the questions that matter:

  • Which data assets are truly mission-critical?
  • How dependent are our business outcomes on those assets?
  • How well do those assets perform today, and how fit-for-purpose are they for tomorrow?
  • What people, processes, and tools are needed to elevate their value?
  • And final, based on all that, what’s the right business case?

Evidence beats intuition

Strategic data asset management brings clarity to the fog of ambiguity. It helps prioritise investments not by intuition, but by evidence. It connects data directly to business impact, frames trade-offs, and tracks return on investment.

It means data leaders can prioritise data initiatives using language and measures that resonate with the boardroom.

At Anmut we help data leaders do just this. For example, using our approach, to valuing data, a global medical devices manufacturer was able to make the case for introducing productivity initiatives that reduced the cost of maintaining data for approximately ÂŁ500k a year, and unlocked a $35m market opportunity.

Data moved from a burden to means to both save and make money. However, this was only possible with the clarity to prioritise investment in data efforts, based on a clear understanding of potential business impact.

If data is to become a strategic asset, data leaders must stop apologising for its cost and start demonstrating its value. That starts by managing it like any other critical resource: with purpose, clarity, and priority.

Strategic data asset management provides a way to shift from advocacy to authority. From being a cost centre to becoming a driver of growth.

If you’re a data leader looking for a better way, book a discovery call with one of our team.