Enterprise buyers are still investing in data. What they are no longer doing is assuming that another platform, another dashboard layer, or another modernisation project will fix the underlying problem on its own.
That is the tension coming through clearly in the latest TLB roundtables. The demand for better data foundations is real, but the buying conversation has shifted. More enterprise teams now understand that platform value is only realised when the business can actually use the data with confidence. That puts data literacy, ownership, and practical accessibility much closer to the centre of the deal.
For vendors, that changes the shape of the opportunity.
The question is no longer just whether your platform is more scalable, more elegant, or more technically advanced. The real question is whether it helps the buyer create adoption, improve decision-making, and make data usable across the business. If the answer is unclear, platform spend slows down.
The platform is rarely the only problem
A lot of data vendors still sell as if the core challenge is infrastructure. Better architecture. Better governance. Better tooling. Better integration.
Those things still matter, but they are no longer enough on their own.
In the roundtable discussions, buyers repeatedly described a deeper issue: the organisation often struggles to make data part of daily decision-making. Teams still work in silos. Non-technical stakeholders do not always understand governance well enough to use data responsibly. Data ownership is blurred. Different parts of the business can produce different answers to the same question. In that environment, even a strong platform can feel underused.
That is why data literacy is becoming such a critical buying issue. It is not a soft culture topic sitting outside the deal. It is one of the biggest determinants of whether a platform investment will land.
For vendors, that means adoption risk is now part of the commercial conversation, even if the buyer does not say it that bluntly.
Enterprise buyers are asking a tougher question
The old buying logic was simple: if data is fragmented, modernise the stack.
The new buying logic is much tougher: if we modernise the stack, will the business actually change how it works?
That is where many deals start to wobble.
Buyers know they can spend heavily on platforms and still fail to create meaningful adoption. They know they can improve architecture without improving trust. They know they can centralise data without making it easier for commercial, operational, or functional teams to use it well.
One of the strongest signals from the discussions is that enterprise leaders are no longer treating data literacy as a side programme. It is becoming an adoption layer for platform spend.
That is a major shift for vendors because it means the value case has to move beyond the platform itself. You are no longer just selling capability. You are selling confidence, usability, and behavioural change.
Why data literacy is suddenly moving up the buying agenda
There are three big reasons this is happening.
First, enterprise buyers are under more pressure to show that data investment drives real business value. That makes “we built the platform” a much weaker success story than it used to be. Leaders want evidence that teams are actually using trusted data to make better decisions.
Second, AI has raised the stakes. As more organisations push toward AI, automation, and decision support, poor data understanding becomes more visible and more expensive. If users do not understand the basics of ownership, quality, and governance, it becomes much harder to scale anything on top of the platform.
Third, access is expanding. As more business users gain access to data, the cost of poor literacy increases. Better access without better understanding can create confusion, misuse, and rising licensing costs without enough return.
This is why the conversation is changing. Buyers are not only asking whether the platform works. They are asking whether the organisation is ready to benefit from it.
The signals vendors should pay attention to
A few of the examples shared in the roundtables are especially revealing.
One enterprise described a 15-month data reorganisation that moved the data function into technology and brought in a Chief Data Officer to create a group-capable platform. That is a significant commitment. But even there, the discussion was not framed as “job done.” The real positive signal was improved engagement and stronger ownership from business teams.
Another participant noted that only 5% of organisational data is needed to tell the business story. That is a powerful reminder. Many enterprises are not drowning because they lack data. They are drowning because they lack clarity, prioritisation, and practical use.
Others described spotting data silos when different teams gave different answers to the same question. That is not just a technical issue. It is a trust problem. And once trust in the data breaks, platform adoption becomes much harder to defend internally.
These are not niche concerns. They are exactly the kinds of signals that shape platform decisions.
| Enterprise signal | What it means for vendors | Best response |
|---|---|---|
| A 15-month data reorganisation before platform scale | Buyers know structure and ownership must shift before value shows up | Sell the operating model, not just the platform |
| Only 5% of organisational data is needed to tell the business story | Buyers want clarity and relevance, not more volume | Lead with decision usefulness and prioritised outcomes |
| Different teams give different answers to the same question | Data trust is broken before technology can deliver value | Show how your solution improves consistency, ownership, and confidence |
| More access is creating more licensing pressure | Adoption without discipline can increase cost faster than value | Position around smarter access, guided usage, and measurable adoption |
For vendors, this is the real commercial takeaway: buyers are increasingly wary of paying for scale they cannot activate.
What this means for platform vendors
If you are selling data platforms, governance tools, catalogues, analytics layers, or enablement services, the opportunity is still strong. But the message has to evolve.
You cannot just lead with technical superiority and assume the business case fills itself in. You need to show how your offer helps the enterprise solve the human adoption problem that sits between platform spend and actual value.
That means four things.
1. Sell usability, not just architecture
Enterprise buyers do care about modern architecture. But they care more about whether business users can find, trust, and apply the right data without friction.
Your pitch should make it obvious how the platform becomes easier to use in practice. That includes discoverability, clearer ownership, cleaner definitions, better access pathways, and less dependence on technical teams for every answer.
If your platform story sounds like it creates more complexity before value appears, you are making the deal harder.
2. Make literacy part of the value case
Data literacy is often treated as a training issue that gets discussed after the platform decision. That is a mistake.
The strongest vendors will bring literacy into the commercial case much earlier. Not as a vague “change management” promise, but as a concrete lever for adoption, governance, and ROI.
Enterprise buyers are already telling you what works here. Training materials alone are not enough. The real progress comes from removing pain points, making data accessible, and connecting enablement to practical business problems.
That is a much stronger story than “we provide onboarding.”
3. Align with business ownership, not just IT sponsorship
One of the clearest themes from the roundtables is that business ownership matters. Data cannot remain an IT sideshow if the enterprise wants real adoption.
For vendors, that means a deal is stronger when it is tied to business accountability, operational workflows, and visible outcomes, not just a technical sponsor pushing a platform agenda.
If your offer helps the buyer move ownership closer to the business while keeping governance intact, that is a powerful entry point.
It also means your messaging should work beyond the technical buyer. Your internal champion needs language that resonates with commercial, operational, and functional leaders as well.
4. Focus on solving specific pain points first
Another useful signal from the discussions is that success often comes from solving real user pain, not from broadcasting a broad cultural ambition.
That matters because many buyers do not want another abstract transformation story. They want a practical fix to a recurring problem.
That could mean:
- reducing the time it takes to find the right data
- eliminating conflicting reports across teams
- making governance easier for non-technical users
- improving confidence in shared metrics
- cleaning up access and ownership before AI initiatives expand
Vendors who tie their offer to those concrete pain points are much more likely to get traction than vendors who stay too high-level.
The strongest sales angle is not “more data”
One of the most useful mindset shifts here is simple: the strongest enterprise data pitch is often not about more data.
It is about better decisions from a smaller, clearer, more trusted set of data.
That is where the “5% of data tells the business story” point becomes so commercially useful. It reflects what many enterprise buyers are starting to realise. Value does not come from surfacing everything. It comes from making the right information usable, trusted, and relevant.
For vendors, that means the winning story is rarely endless scale. It is focus, confidence, and action.
That is also what makes data literacy so important. It is not about turning everyone into an analyst. It is about making sure the organisation can actually use the information it already has in a more disciplined way.
How vendors can earn better enterprise meetings
If you want to break into this market, your first conversation needs to reflect the buyer’s real problem.
That means showing that you understand:
- why platform investments can stall after implementation
- why ownership matters as much as architecture
- why buyers are wary of expanding access without improving understanding
- why data quality, harmonisation, and literacy are now tied to AI readiness
- why practical wins matter more than abstract “data culture” language
The vendors who earn the best meetings are the ones who make the buyer feel understood before they make the product feel impressive.
In practical terms, that means your sales narrative should help the buyer answer three internal questions:
- Will this improve trust in our data?
- Will this make business adoption easier?
- Will this create measurable value without adding more confusion?
If you can answer those clearly, you are not just another platform vendor. You become a safer, more commercially credible option.
The real battleground is adoption
The market is not running out of appetite for data investment.
What is changing is the threshold for confidence.
Enterprise buyers have learned that platform spend alone does not guarantee outcomes. They have seen too many cases where the technology landed but the organisation did not. That is why data literacy, ownership, and practical accessibility are rising so quickly in importance.
For vendors, this is not bad news. It is an opening.
It creates space for the vendors who understand that the real battleground is not the platform feature list. It is adoption. It is trust. It is whether the business can use the platform well enough to justify the spend.
The vendors who win in this market will be the ones who sell both the data foundation and the path to business use.
That is what gets you further into the conversation.
That is what gets you onto the shortlist.
And increasingly, that is what decides whether enterprise platform spend moves at all.