The arrival of artificial intelligence in companies is not just changing processes and technologies. It is primarily transforming how leaders and teams interact with information, decisions, and execution. For a long time, management was based on control, demanding reports, and centralizing knowledge. With AI, this logic is beginning to give way to a more collaborative model, driven by accessible data and shared decisions. According to Deloitte, organizations that use AI to su

For a long time, automation simply meant doing things faster that were already done manually: reports, spreadsheets, repetitive processes. But the scenario has changed. With the evolution of artificial intelligence, especially generative AI and integrated Business Intelligence, automation has ceased to be operational and has become strategic. By 2026, it will no longer be about executing tasks, but about automating decisions, prioritizations, and data interpretations. Accordi

In many companies, growth isn't hampered by a lack of market, product, or talent, but by decisions made based on poorly organized, incomplete, or unreliable data. Data management has ceased to be a technical issue and has become a strategic pillar. Those who treat data merely as reports end up operating in the dark. According to Gartner, organizations that don't structure their data well can lose up to 20% of potential revenue due to operational inefficiency and misguided dec

Campaign performance analysis has always been one of the biggest challenges for marketing teams and leadership. In a scenario with multiple channels, fragmented journeys, and increasing volumes of data, interpreting results quickly and accurately has ceased to be an operational task and has become strategic. It is in this context that artificial intelligence is consolidating itself as a real competitive differentiator. Instead of simply tracking metrics, data-driven companies

For a long time, companies believed they had to choose between speed and quality in decision-making. Either they decided quickly, assuming high risks, or they decided more cautiously, at the cost of missing market timing. In 2026, this dichotomy no longer makes sense. Artificial intelligence allows for the combination of agility and precision in a single strategic move. In increasingly volatile markets, deciding quickly and deciding correctly has ceased to be a competitive ad

Operational rework is one of the biggest productivity killers in companies. Manual processes, conflicting information, and decisions based on outdated data consume time, increase costs, and reduce scalability. In an increasingly competitive landscape, reducing rework has ceased to be operational efficiency and has become a strategic lever for growth. Artificial intelligence emerges as a key element in this context, directly addressing the causes of rework and transforming how

Adopting data-driven management is not just a technological decision, but a cultural shift. Many companies invest in tools, structure indicators, and organize reports, but find it difficult to engage teams in the real-world use of this information. The challenge is not in generating data, but in getting people to trust, understand, and act on it in their daily work. Engaging teams in a data-driven culture requires clarity, purpose, and simplicity. When data makes sense to tho

Planning has always been part of management, but the way companies plan has changed radically in recent years. In a highly volatile environment, decisions based solely on history or intuition have become insufficient. Data-driven companies are able to plan better because they reduce uncertainty, anticipate scenarios, and make decisions based on evidence, not assumptions. The difference lies not in having more information, but in knowing which data matters and how to use it st

For years, dashboards were treated as the center of business intelligence. The more charts, filters, and visualizations, the greater the feeling of control. In practice, however, many companies have discovered that visualizing data is not the same as making good decisions. The future of dashboards points to a clear shift: less time looking at charts and more time executing data-driven actions. As businesses become more complex and the volume of information grows, the traditio

Indicators have always been part of business management. The problem is that, for many companies, they have become just numbers tracked in meetings, reports, or dashboards that rarely translate into concrete actions. The true competitive advantage lies not in measuring more, but in acting better based on what is measured. It is at this point that the gap between information and results directly impacts profit. In a highly competitive environment, tracking metrics without tran

Speed ​​has become one of the main competitive advantages of modern companies. In increasingly dynamic markets, saving time in decision-making, execution, and course correction is what separates efficient organizations from those that are constantly putting out fires. And, in practice, faster processes don't start with more technology, but with organized data. When information is scattered across spreadsheets, isolated systems, and manual reports, any process tends to be slow

A company's analytical maturity is rarely defined by the technology it uses. In practice, it reflects the level of clarity, prioritization, and direction that comes from leadership. Organizations with access to the same data can achieve completely different results depending on how their leaders perceive, stimulate, and use the information in the decision-making process. In an increasingly data-driven and artificial intelligence-driven scenario, the leader's role is no longer

For a long time, making strategic decisions was a slow, expensive process restricted to a few people within companies. It required extracting data from different systems, cross-referencing spreadsheets, interpreting complex dashboards, and only then attempting to reach a conclusion. Along the way, many decisions ended up being made more by intuition than by evidence. Artificial intelligence changes this game by placing a new mindset at the center of management: asking better

For years, manual reports were treated as an inevitable part of the business routine. Spreadsheets updated by hand, dashboards remade every week, and hours spent consolidating data from different areas always seemed like "the price to pay" to track results. In 2026, this model is no longer sustainable. Intelligent automation, driven by artificial intelligence and integrated Business Intelligence, is redefining how companies operate, analyze data, and make decisions. More than

The year 2026 marks a turning point in the adoption of intelligent automation in companies. After a decade of experimentally exploring artificial intelligence, the market has finally reached technological maturity, accessible infrastructure, and, most importantly, a growing corporate demand for speed and accuracy. With the combination of generative AI, integrated Business Intelligence, and increasingly intuitive data platforms, companies will be able to transform days of anal

The transition to a data-driven economy has gone from being a futuristic bet to a strategic imperative. By 2026, companies that lack a solid foundation in data intelligence will simply lose competitive speed. It's not just about collecting information, but about transforming the daily flow of numbers, indicators, and behaviors into practical decisions that drive growth, efficiency, and innovation. In this context, understanding how to prepare your business for this new era is

Making strategic decisions has never been simple. But in recent years, the volume of information has grown exponentially. IDC research shows that companies will generate more than 175 zettabytes of data by 2025, a leap that transforms how leaders and teams need to view the business. The challenge is no longer collecting data, but knowing what to do with it. Companies that can interpret, connect, and act on this information get ahead, while others continue operating in the dar

In recent years, companies have vastly expanded their capacity to capture data. Marketing tools, sales systems, financial platforms, and CRMs generate a massive volume of information every day. However, for most, this growth has not translated into better decisions. According to Gartner, only 14% of organizations manage to transform metrics into consistent actions, while most continue to operate in "track for track's sake" mode, accumulating reports but without creating real

A decade ago, strategic decisions were largely guided by the experience and intuition of leaders. Today, that scenario has changed radically. By 2026, the combination of artificial intelligence (AI) and predictive Business Intelligence (predictive BI) is reshaping the role of the modern manager, from a decision-maker based on feeling to an evidence-driven leader. According to Gartner, by the end of 2026, more than 65% of high-impact business decisions will be automated or ass

The business world is constantly evolving, and data intelligence has ceased to be merely a competitive advantage and has become a strategic requirement. For companies that want to remain relevant, understanding Business Intelligence (BI) and Artificial Intelligence (AI) trends is essential, and Sherlok positions itself precisely as a partner in this market anticipation process. According to a Gartner study, by 2026, more than 80% of companies that apply AI in strategic BI wil