Making decisions based only on intuition is still a reality for many Brazilian companies. Studies by consulting firms like McKinsey, KPMG, and Abrappe show that underutilization of data can jeopardize up to 15% of revenue, as well as lead to 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 like inefficient promotions, stockouts, and low customization of the customer experience. In the industrial sector, this also translates into high costs, difficulty in predicting sales, and misaligned patterns 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, Technology head at AGR TECH, the technology unit of AGR Consultores, lists the main mistakes that hinder growth and how to avoid them:
1. Make Decisions Based on Guesswork
Companies that do not use structured data perform up to 20% worse. “When decisions are made based on intuition, there is a waste of resources and missed opportunities,” explains Chencci.
2. Failure to Integrate Databases
Information scattered across different areas makes precise analyses difficult. Integration is essential to create reliable scenarios and anticipate market movements.
3. Ignore Consumption Patterns
Many companies overlook customer behavior, missing out on retention and revenue growth opportunities. Analytical modeling helps predict trends and adjust strategies in real time.
4. Fail 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
There are still those who see technology only as a support tool. ‘When well applied, it stops being support and becomes a growth engine, directly impacting margin and productivity,’ reinforces Chencci.
