The psychology of better decision-making in the real-time enterprise

Business leaders are often told that to be better, they need to make faster decisions. But I'm not sure that's always the most useful way to frame the problem.

Most of us, whether in senior positions or not, already feel the pressure to move quickly. Customers expect answers live and in the moment. Supply chains can shift without much warning. And it's not as though cyber risks are waiting around for the next reporting cycle.

From where I sit, the more interesting framing is this: what does that pressure to speed up do to judgement? The answer, I think, comes down to data – and that's where the cracks can start to show.

When uncertainty becomes the default

Confluent's Quick Thinking 2.0 research shows just how much that pressure has grown. 92% of leaders say the speed of senior business decisions has increased over the past three years.

But while business has sped up, the support systems around decision-making often haven't. When leaders don't trust the information in front of them, they compensate. They wait for another report, ask another team to validate the numbers or fall back on instinct.

In fact, fifty-nine per cent of leaders say they frequently rely on gut feel when making decisions. That's not because they're rejecting data: 60% say it's too difficult to access, 71% say it's often out of date by the time it reaches them and 62% say there isn't enough time to analyse it before a decision is due.

This adds real mental load. Research into choice under uncertainty has found that cognitive load can affect how people behave in risky decision tasks. Poor data gives leaders another question to answer before they even reach the decision itself – can I trust what I'm seeing?

Real-time data streaming is one way to reduce that doubt by making trusted, current data available before leaders are forced to fill the gaps themselves.

Faster is not always better

In my mind, speed has become a lazy ambition. A dashboard that updates every second is not much use if nobody trusts the data behind it. 

The more useful goal is confidence. 

Leaders need information that is current, governed and clear enough to act on. Otherwise, real time can become another source of pressure, adding more signals, more dashboards and more things demanding attention.

Anyone who has sat in a senior meeting will recognise the pattern. A discussion begins with a decision to make, then drifts into questions about the data. Someone has one number, someone else has a different number, and the room ends up debating the evidence rather than the decision.

That is why data quality and governance have to move closer to the point where data is created. If data is cleaned, checked and contextualised too late, every downstream team inherits the uncertainty. By the time a leader is looking at a dashboard or an AI system is producing a recommendation, the trust question should already have been answered.

The weight of the call

There's an emotional weight to leadership decisions, too, that does not always show up in technology conversations.

A decision might affect revenue, customers, employees, reputation or regulatory exposure. Leaders know that. They also know they may be judged months later with the benefit of hindsight, even if the decision had to be made in minutes.

When the data is late, fragmented or unclear, that weight gets heavier. People can still make the call, but they are doing it with more doubt than necessary.

Further findings from Quick Thinking capture this tension well. Three-quarters of leaders have regretted acting too quickly. Seventy-one per cent have regretted waiting too long and missing an opportunity. At the same time, 91% say they would feel more confident in their decisions if they had access to real-time data.

Confidence doesn't make decisions easy. But I believe it does make them clearer. Leaders can focus more of their attention on the judgement call itself rather than on whether they are working from stale, partial, or conflicting information.

AI makes trust harder to ignore

What's more, many leaders are already using AI to support decisions. The Confluent study found that 62% of executives use AI to make the majority of their decisions. It also found that 70% second-guess their own judgement when it conflicts with AI recommendations.

Though I've no doubt about the usefulness of AI in helping leaders see patterns, test options and reduce some of the pressure around complex decisions, these findings are a wake-up call to the fact that AI is changing the psychology of the boardroom. Research from Harvard Business Review has shown that AI can help leaders work faster while also distorting decision-making and creating overconfidence if executives are not careful.

If an AI system flags a fraud risk, recommends a pricing change, prioritises a maintenance issue or suggests a supply chain response, we can't simply question whether the output sounds plausible and be satisfied. Leaders need to know whether it is based on current, governed and relevant data.

The value of the real-time enterprise 

If leaders are being asked to make faster, higher-stakes decisions, they need a clearer view of the business as it is right now. Real-time data streaming helps bring current, reliable data across teams, systems and AI applications, so leaders are not trying to make decisions based on competing versions of the truth.

That does not make leadership easy. It does not remove instinct, judgement or accountability. But it does reduce the avoidable doubt that comes from stale, fragmented or conflicting information.

For me, that's the unseen value of real-time data. It gives leaders a stronger, more confident basis for judgement – not a guarantee of being right, but the best possible chance of it.