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 manner, leading to common failures such as ineffective promotions, stockouts, and low customer experience personalization. In the industrial sector, this also results in high costs, difficulty in forecasting sales, and misaligned standards between units.
To prevent these problems from impacting 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. Deciding based on guesswork
Companies that do not use structured data perform up to 20% worse. ‘When decisions are made based on intuition, there is waste of resources and lost opportunities,’ explains Chencci.
2. Not integrating databases
Information scattered across different areas makes precise analysis difficult. Integration is essential to create reliable scenarios and anticipate market movements.
3. Ignoring 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. Failing in data governance
Without constant quality and updates, data loses value and can lead to misguided decisions. Investing in governance processes is as important as collecting information.
5. Underestimating analytical intelligence
Some still see technology merely as a support tool. ‘When well applied, it stops being support and becomes a growth engine, directly impacting margins and productivity,’ emphasizes Chencci.
