We live in the information age, which is marked by a volume of data generated daily that has never been seen before. This situation creates a significant obstacle for companies: the ability to extract valuable information and convert it into strategic decisions.
That's why, business leaders face the need to achieve greater agility in data-driven decision-making aligned with business objectives. Without this, run the risk of losing efficiency and, mainly, lose the necessary clarity to scale the operation safely
In this scenario,Business Intelligence (BI) emerges as the best response to the demand, by organizing and converting data into actionable insights, becoming the "starting point" for companies that wish to structure a growing and sustainable financial performance.
It is about anticipating scenarios, define paths and act with precision. The proof of this is in a study by McKinsey “The Data-driven enterprise 2025”the integration of Artificial Intelligence (AI) and Machine Learning in BI enables precise analyses and generates automatic alerts about opportunities and risks.
The five BI trends
In 2025, five BI trends stand out to meet the critical demands for scalability, speed and adaptability
- AI and automation:automated analysis, through AI algorithms, allows immediate access to reports and enables informed decisions. This is a differentiator to prevent data shortages from resulting in lost opportunities or operational inefficiency
- Cloud Scalability:cloud BI offers flexibility to increase or decrease data storage capacity, according to the demand. This allows handling large volumes of information without loss of performance, even during peak moments, and without the need for high investments in physical infrastructure
- Democratization of access:panels with integrated reports allow employees from all areas to access the data, making BI a "common language" in the company. This not only speeds up decisions, but makes these decisions more personalized and assertive.
- Customization for new demands:data analysis enables the creation of new Key Performance Indicators (KPIs) and new strategic objectives, maintaining the alignment of the analyzed information with the business priorities
- Data governance:as regulatory standards, how the General Data Protection Law (GDPL), become more rigorous, the ability to protect data to ensure compliance becomes a decisive criterion in the use of BI
BI Maturity
These trends apply to companies at different stages of maturity in terms of data usage:
- Initial adoption:companies that must establish a centralized data environment for reliable reporting. Your challenges are low data literacy and the lack of processes for governance. The benefits of BI are greater visibility of data and reduced time in report generation
- Strategic expansion:companies that already use BI for reports and analyses, but they still do not explore their strategic potential. Your challenges are to connect BI to strategic planning, adopt predictive analytics and integrate multiple data sources. The benefits of BI are improvement in decision-making, cost reduction and process optimization
- Full maturity:companies that already have BI disseminated and integrated into the business strategy. Your challenges are to scale the use of BI, ensure data quality and automate analytical processes. The benefits of BI are real-time decisions, constant innovation and greater operational efficiency
Regardless of the level of maturity,BI is essential to reinforce the importance of a data-driven corporate environment (which we also call "culturedata-driven”).
That's why, in 2025, escalating the operation will mean, above all, scale intelligence: more than extracting data, it is necessary to master them, contextualize them and turn them into strategy.
If the combination of robust technology and strategic expertise is the differentiator for a stronger and more competitive future for companies, BI is the "point of no return" for companies to explore new markets without losing control ofcore business.
