You can buy the dashboard, you cannot buy the culture
Most organisations have made the investment. The platform is in, the data is flowing, the dashboards look good. And yet decisions still get made the way they always were – on instinct, on seniority, on whoever argues most persuasively in the room.
This is the uncomfortable gap at the centre of most analytics programmes. The technology works. The behaviour has not changed.
The evidence: This is not a technology problem
The data on this is unusually clear. Wavestone’s 2024 Data & AI Executive Leadership Survey, covering more than 100 Fortune 1000 data, analytics and AI leaders, found that human factors – culture, people, process change and organisational alignment – remain the barrier to becoming a data-driven organisation for 78% of respondents. Only 23% cited technology limitations as a principal challenge, and 57% said they still struggle to build a data-driven culture. (ref: Wavestone, Data & AI Executive Leadership Survey 2024 (12th annual), surveying over 100 Fortune 1000 executives in data, analytics and AI leadership roles.
Read that again. Culture outweighs technology as an obstacle by more than three to one – among the organisations best resourced to solve the technology part.
Gartner’s research points the same way. Gartner’s 2024 Chief Data and Analytics Officer Agenda Survey identified low data literacy and resistance to change as the top inhibitors of data and analytics success – with poor data literacy perpetuating “gut feel” over data-driven decision-making. Gartner is blunt about where resistance often sits, noting that senior executives long accustomed to relying on gut feeling may resist being asked to adapt and operate more transparently.
The tooling, in other words, is rarely what is holding you back.
Three key factors that drive a successful data-driven culture
- Governance as enablement, not control.
Governance has a reputation problem – it sounds like a brake. Done well, it is the opposite. Gartner frames modern data governance as a shift from control to enablement: specifying decision rights and accountability so that data is properly valued and used, with the goal of embedding analytics into business processes to support decision-making.
The warning attached to this is worth heeding. Gartner predicts 80% of data and analytics governance initiatives will fail by 2027, largely because there is no real business or manufactured crisis trigger driving urgency. When governance is not tied to priority outcomes, interest fades and resistance sets in within months.
Start governance from a decision the business genuinely cares about, not from a policy document.
- Data literacy across the business, not just in finance.
A dashboard nobody can interpret is decoration. If managers cannot read a variance, question a driver or spot when a number looks wrong, the insight stays trapped with the people who built it, and finance remains a bottleneck rather than a service.
This is a capability question, and it needs treating like one: structured, resourced and measured, rather than assumed.
- Visible leadership behaviour.
Culture follows what leaders do. If the executive team asks for the data, changes its mind when the data says so, and is seen to do both, the organisation follows. If the data is produced and then quietly overruled by whoever is most senior, everyone learns the real rule within a quarter.
Readiness matters more than ambition
There is a sequencing point underneath all of this. A data-driven culture cannot be built on data nobody trusts, and trust is currently thin. The 2025 FP&A Trends Survey found that only 17% of organisations say their data quality is good, and that 46% of FP&A time still goes on collecting and validating data rather than analysing it.
Ask people to make decisions on numbers they privately doubt, and they will revert to instinct. That is not a cultural failing; it is a rational response to an unreliable input. Fix the foundations first, and the behaviour becomes available.
Which is why readiness is worth an honest assessment before any culture programme begins. Is the data connected and trustworthy? Does anyone own it? Do managers have the skills to use it? Is leadership genuinely prepared to be overruled by evidence? Those four questions predict success better than any platform decision.
Where Verostone comes in
We work at exactly this intersection, where technology meets decision-making. That means the analytics and BI capability to make trusted data available, and the advisory and change management capability to make sure it gets used: governance frameworks tied to real business outcomes, capability building across the organisation, and adoption treated as core to delivery rather than a bolt-on.
Because a capability nobody uses returns nothing, regardless of what it cost.
Wondering whether your organisation is ready to become genuinely data-driven? Book a call with a Verostone consultant here
For more information you can call us on +44 (0)1932 548 465, or email us at hello@verostone.com