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The Most Dangerous Business Decisions Are the Ones That Look Right

Most decisions that cost companies money seem completely reasonable at the time. They look logical. They are supported by data. The only problem is that they are based on only part of the available information.

Corellize TeamPublished on June 10, 20263 min read
Data QualityDecision-MakingBusiness Intelligence
The Most Dangerous Business Decisions Are the Ones That Look Right

Imagine a company where:

  • the CRM shows one version of reality;
  • the financial system shows another;
  • production data sits in a third system;
  • customer feedback is buried in emails.

Thousands of data points are created every day.

But when an important decision needs to be made, leadership only sees a fraction of them.

Most decisions that end up costing companies money seem completely reasonable at the time. They look logical. They are supported by data.

The only problem is that they are based on only part of the available information.

The most dangerous decisions are the ones that look right.

Incomplete Information Costs More Than It Seems

Gartner estimates that poor data quality costs organizations an average of $12.9 million per year.

At the same time, 59% of organizations do not measure data quality at all.

Meanwhile, McKinsey data suggests that knowledge workers spend around 20% of their time searching for information within the organization. That is almost one full working day every week.

But the biggest costs usually do not come from the data itself.

They come from decisions made without seeing the full picture.

What Does This Look Like in Practice?

Sales are falling.

A manager opens the sales report and sees fewer deals, weaker results, and fewer inbound enquiries.

The conclusion seems obvious: increase the advertising budget.

But a few months later, it becomes clear that marketing was not the real problem.

  • Customer complaints had increased.
  • Deliveries were delayed.
  • Customers were quietly moving to competitors.

The decision looked right.

But it was made without the full picture.

Where Do the Real Costs Appear?

The cost of these decisions rarely shows up in a single report.

Instead, it appears as:

  • lost customers;
  • missed sales opportunities;
  • unnecessary marketing spend;
  • poorly prioritized projects;
  • employee time spent fixing problems instead of driving growth.

Each individual case may seem small.

Together, however, these costs can reach tens or even hundreds of thousands of euros every year.

A Quick Test

If you answer "yes" to at least two of the statements below, your organization may regularly be making decisions with incomplete information.

  • The same metric has multiple versions across different systems.
  • Leadership meetings spend more time debating whether the data is correct than deciding what to do next.
  • Employees spend a significant amount of time searching for information.
  • Different departments reach conflicting conclusions about the same issue.
  • Strategic decisions are often based on intuition.

The goal is not to collect more data.

The goal is to make better decisions.

To do that, a company needs to see the full picture — not disconnected fragments of information.

Today's competitive advantage is not having more data. It is the ability to understand that data in context.

Perhaps the most important question is not how much data your company has.

The real question is: how many decisions are currently being made while seeing only part of the full picture?

Data QualityDecision-MakingBusiness Intelligence

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