How qualified data transforms business strategy

In an increasingly competitive and digitized business environment, making quick decisions is not enough. They must be smart, well-founded, and driven by reliable data. But where does this data come from? And more importantly: how can you ensure that it is organized, clean, and strategically connected to your business?

According to IBM, companies lose an average of $3.1 trillion per year due to poor data quality. In Brazil, a survey by Serasa Experian revealed that 73% of companies have already made wrong decisions due to a lack of reliable data.

This happens because many businesses still deal with duplicated or outdated databases, disconnected systems across departments, lack of governance and standardization, and excessive use of manual spreadsheets. These factors lead to inconsistent reports, hinder predictive analysis, and create a false sense of control.

Qualified Data: The New Strategic Asset

Qualified data is that which meets clear criteria for integrity, timeliness, consistency, and business relevance. Companies that maintain a reliable data structure gain real-time visibility of key KPIs, can analyze market trends more accurately, simulate future scenarios based on historical data, and create more assertive and agile strategies. In short, quality data generates business intelligence. And intelligence leads to more profitable decisions.

It is common to find companies that invest in ERPs, CRMs, BI systems, and e-commerce platforms but fail to extract value because the data is isolated or stored in silos. System integration allows for the consolidation of information in a single analytical environment, reducing errors and optimizing analysis time. Studies by McKinsey show that data-driven companies make decisions 5x faster and are 23x more likely to acquire new customers.

The mission of consulting firms specialized in digital transformation is to solve business problems through technology — and data is the starting point. It is essential that they focus on mapping sources, diagnosing data quality, cleaning and standardizing data, integrating it into a unified environment, and implementing dashboards and KPIs.

Results That Clients Can See

Companies that structure their data with the help of digital transformation consultancies experience a reduction in report analysis time, improved accuracy in strategic decisions, greater agility in detecting deviations and opportunities, and real alignment between operations and strategy.

Reliable data is not just a competitive advantage — it is a requirement for sustainable growth.

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