We live in the information age, which is characterized 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 turn it into strategic decisions.
Therefore, business leaders face the need to achieve greater agility in data-driven decision-making aligned with business objectives. Without this, they risk losing efficiency and, most importantly, losing the clarity needed 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 aiming to establish growing and sustainable financial performance.
It is about anticipating scenarios, defining paths, and acting with precision. The proof of this is in a McKinsey study. “The Data-driven enterprise 2025”The integration of Artificial Intelligence (AI) and Machine Learning into BI enables accurate analysis and 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 lack of data from resulting in missed opportunities or operational inefficiency.
- Cloud Scalability:The cloud BI offers flexibility to increase or decrease data storage capacity according to demand. This allows handling large volumes of information without performance loss, even during peak times, and without the need for significant investments in physical infrastructure.
- Democratization of access:Dashboards with integrated reports allow employees from all departments to access the data, making BI a "common language" within the company. This not only speeds up decisions but also makes those decisions more personalized and assertive.
- Customization for new demands:Data analysis allows the creation of new Key Performance Indicators (KPIs) and new strategic objectives, maintaining the alignment of the analyzed information with business priorities.
- Data governance:As regulatory standards such as the General Data Protection Law (LGPD) become more stringent, 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 should establish a centralized data environment for reliable reports. Their challenges are low data literacy and the lack of governance processes. The benefits of BI are greater data visibility and reduced time in report generation.
- Strategic expansion:companies that already use BI for reports and analysis but have not yet explored its strategic potential. Your challenges are connecting BI to strategic planning, adopting predictive analytics, and integrating multiple data sources. The benefits of BI are improved decision-making, cost reduction, and process optimization.
- Full maturity:companies that already have BI disseminated and integrated into their business strategy. Your challenges are scaling the use of BI, ensuring data quality, and automating analytical processes. The benefits of BI are real-time decision-making, constant innovation, and greater operational efficiency.
Regardless of the maturity level, BI is essential to reinforce the importance of a data-driven corporate environment (what we also call “data culture”).data-driven”).
Therefore, in 2025, scaling the operation will mean, above all, scaling intelligence: more than extracting data, it is necessary to master it, contextualize it, and turn it into strategy.
If the combination of robust technology and strategic expertise is the differential for a more solid and competitive future for companies, BI is the “one-way street” for companies to explore new markets without losing control of thecore business.