Article · 10 min read

Why Enterprise Data Piloting is different

Audine Pean
Audine Pean
CEO & co-founder of Vokse
LinkedIn
Why Enterprise Data Piloting is different

I was recently asked a question:

“What is the difference between Vokse and all those platforms promising modern analytics, generative AI, intelligent agents, machine learning, governance, data catalogs, data quality and digital transformation?”

It’s a good question. But it’s also the wrong question.

Because it assumes that all these players belong to the same category. And they don’t.

Comparing Vokse to an analytics or AI platform is a bit like comparing an aircraft’s cockpit to its engine.

Both are essential.
Both handle the same information.
Both contribute to the flight.
But they don’t solve the same problem.

And above all, when things start to go wrong, one of them suddenly becomes far more important than the other.

The big lie

For twenty years, the market has been telling us the same story.

According to this story, companies have a data problem. They don’t have enough of it. They don’t make enough use of it. They don’t do enough analytics. Not enough artificial intelligence. Not enough machine learning. Not enough automation.

So the industry built solutions to solve this so-called problem:

data warehouses,
data lakes,
lakehouses,
catalogs,
analytics platforms,
AI platforms,
GenAI platforms,
agents,
copilots,
assistants,
orchestrators.

The result?

Companies have never had so much data. They have never had so many dashboards. They have never used so much artificial intelligence.

And yet, in executive committees around the world, the first question remains exactly the same: “Can we trust these numbers?”

The executive committee doesn’t ask: “Can we calculate them?”, “Can we visualize them?”, “Can we train an AI model on them?”

That is the real problem.

Nobody needs millions of data points

Executives don’t buy data. They buy trust.

A head of operations isn’t looking for a KPI.

They’re looking for certainty that the KPI reflects reality.

A CFO isn’t looking for a report.

They’re looking for certainty that the numbers are right.

A business leader isn’t looking for a catalog.

They’re looking for certainty that the decision they’re about to make doesn’t rest on an error.

Data was never the goal. Trust always was. And that is precisely where most approaches fail.

They manage data. But they don’t pilot trust.

Why governance is no longer enough

I’m probably going to be provocative. But it needs to be said.

Most governance projects have become documentation exercises:

we document definitions,
we document owners,
we document classifications,
we document policies,
we document flows,
we document rules.

And in the end, everyone congratulates themselves.

Then, a week later, an incident occurs. A data flow goes down. An interface fails. A transformation is changed. A source becomes inconsistent.

And suddenly, the documentation becomes useless. Because nobody can answer the questions that really matter:

?What happens now?
?Which processes are affected?
?Which KPIs are compromised?
?Which users are exposed?
?Which business decision is now at risk?
?Who needs to act immediately?

In reality, governance explains the past. Sometimes it describes the present. But it rarely helps pilot the future.

It’s a map.
Not a GPS.

The difference between documenting and piloting

Take an airline. Imagine for a moment that the captain welcomes you on board with this announcement:

“Ladies and gentlemen, rest assured. We have documented every flight for the past ten years. All procedures are up to date. All incidents are archived.”

That’s wonderful. But it’s not what will get the plane to its destination.

What will get the plane to its destination is the cockpit. The cockpit continuously provides:

the current position,
potential risks,
affected systems,
critical alerts,
the consequences of each anomaly,
the decisions to be made.

Pilots don’t consult a documentation repository when an engine fails. They rely on real-time visibility of the situation. They immediately understand:

1what is happening,
2what is likely to happen,
3what is at risk,
4what they need to do.

That is exactly the difference between traditional governance and Data Piloting.

The real problem: companies are flying without a cockpit

That’s the reality. Most companies have:

data warehouses,
catalogs,
glossaries,
dashboards,
data quality tools,
lineage tools.

But they don’t have a cockpit.

They know how to store information. They know how to document information. They know how to transform information. But they don’t know how to pilot the business impact of information.

When critical data becomes incorrect, they often discover the problem after the fact. When a KPI becomes inconsistent. When a report turns out to be wrong. When a customer complains. When an audit reveals an anomaly. When an AI project produces absurd results.

In short, when the damage is already done.

Vokse Data Piloting

And that is precisely why Vokse is not just another governance tool.

It’s not a catalog.
It’s not a dictionary.
It’s not just a metadata repository.
It’s not a data quality tool.
It’s not an analytics platform.
It’s not an AI platform.

Vokse is a Data Piloting platform.

Its mission is not to document data. Its mission is to enable the company to pilot its decisions with confidence.

The difference is huge. Because data has no value in itself. Its value depends on the decision it influences.

So Vokse doesn’t start from data.
Vokse starts from the business.

Yes, Vokse includes a Data Catalog. Yes, Vokse maps data, applications, flows, business processes and their lineage. Yes, Vokse centralizes business and technical rules, measures data quality, orchestrates action plans, manages use cases and makes collaboration between teams easier.

But no company invests in a Data Catalog, Data Lineage or metadata for their own sake. Companies invest to reduce risk, speed up decisions and improve performance.

What they really want to know is much simpler:

?Can we trust this information?
?What is the risk if it’s wrong?
?What is the impact on our operations, our customers, our revenue and our results?

That’s where Vokse stands apart. Where governance describes data, Vokse pilots its impact on the business.

Every piece of critical data is linked to the processes it feeds, the KPIs it influences, the decisions it informs, the risks it carries and the financial results it affects.

When data degrades, the stakes are no longer just technical. Vokse makes it possible to identify immediately:

which business processes are exposed;
which KPIs become unreliable;
which decisions become risky;
which revenues may be affected;
which regulatory or contractual commitments are threatened;
which actions must be taken to limit the consequences.

Because at executive committee level, the question is never: “Which table does this data sit in?”

The question is:

?“How much will it cost us if this data is wrong?”
?“What risk are we exposing the company to?”
?“What value can we create if we can finally trust it?”

That is the promise of Data Piloting. Turning data into trust. Turning trust into decisions. And turning better decisions into value creation, lower risk and lasting performance improvement.

Data never exists in isolation

Let’s take a simple example. A piece of customer data is wrong.

In most tools, you will see:

the attribute concerned,
its owner,
its source system,
its history,
its quality level.

This information is useful but not enough.

The business leader doesn’t want to know that an attribute is wrong. They want to know:

which processes are impacted,
which KPIs become unreliable,
which reports become wrong,
which customers are affected,
how much revenue is exposed,
what regulatory risk emerges.

That is the fundamental difference.

Vokse connects every piece of data to its operational context.

Because data without context is just a record. Data linked to its impact becomes a lever for piloting.

From Data Lineage to Business Impact Lineage

The market talks a lot about Data Lineage. The ability to understand where data comes from and how it has been transformed is essential.

But let’s be honest, most executives don’t wake up in the morning wondering: “Which SQL table does this information come from?”

They wonder:

?“Why is this KPI wrong?”
?“Why has this decision become risky?”
?“Why don’t my teams share the same version of the truth?”

That’s where Business Impact Lineage comes in. The ability to understand not only where data comes from, but also:

which processes use it;
which indicators depend on it;
which decisions it influences;
what consequences its degradation will cause.

It’s the missing link in the data industry.

Bridging business and technology

Companies have always suffered from a divide.

On one side:

  • IT teams,
  • architects,
  • data engineers,
  • administrators,
  • developers.

On the other:

  • business teams,
  • operations,
  • finance,
  • compliance,
  • management,
  • process owners.
The former talk about pipelines.
The latter talk about results.
The former talk about databases.
The latter talk about performance.
The former see where the problem comes from.
The latter bear its consequences.

Vokse connects these two worlds:

in a single model,
in a single view,
in a single piloting logic.

Because a company cannot properly pilot what it only half understands.

AI makes the problem explosive

For a long time, bad data simply produced bad reports. That was already a problem.

But today? Bad data can produce:

a bad AI recommendation;
a bad prediction;
a bad automation;
a bad decision;
a bad autonomous agent;
a bad financial trade-off;
a bad customer experience.

And unlike a report read once a month, an AI can repeat the same mistake thousands of times a day.

AI doesn’t eliminate the trust problem. It multiplies it.

Every AI project eventually comes back to a single question: can we trust the data that feeds it?

The future isn’t AI. The future is trust.

This may be the most provocative part.

In a few years, everyone will have access to AI. Everyone will have access to LLMs. Everyone will have access to agents. Everyone will have access to automation.

AI will become a commodity. Like the cloud. Like email. Like the Internet.

Real scarcity will lie elsewhere.
In trust.

An organization that pilots its business much faster than its competitors will be able to instantly identify:

which data is critical;
how much it can be trusted;
which processes it feeds;
which KPIs it influences;
which systems produce it;
which risks it creates.

The birth of a new category

For twenty years, the market talked about Data Governance. For the next ten years, I believe the market will talk about Data Piloting.

Because companies no longer just need to document their data. They need to pilot it. In real time. With context. With impacts. With visibility. With trust.

And that is exactly what Vokse is.

Vokse is not a data catalog. Vokse is not a documentation repository. Vokse is not a compliance tool.

Vokse is the cockpit of the data-driven enterprise.

The platform that connects data to its business use.
The platform that connects data to the processes it feeds.
The platform that connects data to the KPIs it influences.
The platform that connects data to its technical origin.
The platform that connects data to its business impact.
The platform that turns governance into piloting.

Because ultimately, companies never had a data problem. They have a much more fundamental problem: every day, they make critical decisions without always knowing whether the information they rely on truly deserves their trust.

And when AI accelerates everything, the most strategic capability is no longer producing more data. It’s knowing which data deserves to be trusted.

Want to know which data deserves your decision-makers’ trust?

See how Vokse connects every piece of critical data to its processes, its KPIs and its business impact.