Making decisions based solely on intuition is still a reality for many Brazilian companies. Studies by consultancies such as McKinsey, KPMG, and Abrappe show that poor data utilization can compromise up to 15% of revenue, in addition to causing operational waste and loss of competitiveness.
Despite the abundance of available technology, 80% of operational information is not analyzed in a structured way, leading to common failures such as inefficient promotions, stockouts, and low personalization of the customer experience. In the industrial sector, this also reflects in high costs, difficulty in forecasting sales, and misaligned patterns between units.
To prevent these issues from impacting the results, it is essential for managers to identify practices that still hinder the intelligent use of data. João Chencci, Head of Technology at AGR TECH, the technology unit of AGR Consultores, lists the main mistakes that hinder growth and how to avoid them:
1. Decide not to rely on guesswork
Companies that do not use structured data perform up to 20% worse. "When a decision is made based on intuition, there is a waste of resources and a loss of opportunities," explains Chencci.
2. Do not integrate databases
Information spread across different areas hinders accurate analysis. Integration is essential for creating reliable scenarios and anticipating market movements.
3. Ignore consumption patterns
Many companies fail to observe customer behavior, missing opportunities for retention and revenue growth. Analytical modeling helps predict trends and adjust strategies in real time.
4. Fail in data governance
Without consistent quality and updates, data lose value and can lead to incorrect decisions. Investing in governance processes is just as important as collecting information.
5. Underestimating analytical intelligence
There are still those who see technology only as a supporting tool. "When well applied, it ceases to be support and becomes a growth engine, directly impacting margin and productivity," reinforces Chencci.
