How Qualified Data Transforms Business Strategy

In an increasingly competitive and digitalized business environment, making fast decisions is no longer enough. Decisions must be smart, well-founded, and guided by reliable data. But where does this data come from? And more importantly: how can we ensure it is organized, clean, and strategically connected to the business?

According to IBM, companies lose an average of US$ 3.1 trillion per year due to poor data quality. In Brazil, a study 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This happens because many businesses still deal with duplicated or outdated databases, disconnected systems between departments, lack of governance and standardization, and excessive use of manual spreadsheets. These factors generate inconsistencies in reports, hinder predictive analysis, and create a false sense of control.

Qualified Data: The New Strategic Asset
Qualified data follows clear criteria of integrity, timeliness, consistency, and business relevance. Companies that maintain a reliable data structure gain real-time visibility into key KPIs, 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 data is isolated or stored in silos. System integration allows information to be consolidated into a single analytical environment, reducing errors and optimizing analysis time. McKinsey studies show that data-driven companies make decisions five times faster and are 23 times more likely to acquire new customers.

The mission of specialized digital transformation consultancies is to solve business problems through technology — and data is the starting point. It is essential that they focus on mapping data sources and diagnosing quality, data cleansing and standardization, integration into a unified environment, and the implementation of dashboards and KPIs.

Results the Client Can See

Companies that structure their data with the support of digital transformation consultancies experience reduced report analysis time, improved accuracy in strategic decision-making, faster detection of deviations and opportunities, and real alignment between operations and strategy.

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