In a landscape where data has become one of the most valuable assets for businesses, the promise seems straightforward: the more data you have, the better your decisions will be. But in practice, that’s not what happens. Even with access to dashboards, reports, and research, many companies continue to make mistakes in product launches, positioning, communication, and strategy. The issue is not the lack of data. It’s how that data is collected, interpreted, and applied.
The myth that “more data = better decisions”
In recent years, the volume of available data has grown exponentially. Digital tools, analytics platforms, and research methodologies have significantly expanded companies’ ability to collect information.
The problem is that accumulating data is not the same as generating intelligence.
Companies often struggle with:
- too many metrics and no clear prioritization
- superficial analysis
- lack of strategic context
The result is a paradox: the more data available, the harder it becomes to decide.
Where companies are getting it wrong
1. Data collection without strategy
One of the most common mistakes is starting a research project without clearly defining the questions that need to be answered.
Generic questions lead to generic answers.
And generic answers do not drive meaningful decisions.
Without a clear objective, research becomes a technical exercise rather than a business tool.
2. Samples that do not represent the market
Another critical issue lies in sample quality.
Data collected from audiences that do not reflect the actual target market leads to distorted conclusions. This is especially relevant in complex markets like Brazil, where behavior, income, and cultural dynamics vary significantly across regions.
Making decisions based on biased samples is, in practice, making decisions in the dark.
3. Lack of depth in analysis
Data does not speak for itself.
Without qualified interpretation, what you have are numbers — not insights.
Many analyses focus only on the “what” (what people answered), but fail to explore the “why” (what drives that behavior).
It is in this deeper layer that the most strategic decisions are found.
4. Disconnection between research and decision-making
A subtle but recurring issue: research that never reaches decision-makers in a meaningful way.
When results are not translated into clear, actionable, and business-oriented insights, they tend to be underutilized — or ignored.
Research that does not influence decisions is a cost, not an investment.
The role of well-structured market research
When properly designed, market research does more than validate assumptions — it guides direction.
It reduces uncertainty, anticipates risks, and increases decision accuracy.
But for that to happen, it must be treated as part of the strategy, not as an isolated step.
This involves:
- clearly defined objectives
- appropriate methodological design
- representative sampling
- business-oriented analysis
- decision-focused delivery
Data is a means, not an end
Companies that truly stand out in their use of data are not the ones that collect the most information.
They are the ones that best transform data into direction.
Ultimately, the value lies not in the volume of available data, but in the ability to ask the right questions, interpret deeply, and act with confidence.
