In the operation of any business, decision-making is an essential skill that every leader, manager and employee must master.
Too often, decisions are made remotely from the field, based on data collected too slowly from operational departments and resulting from processes that are still manual and compartmentalized. This reality not only leads to risks of error, but also limited confidence in the information used to decide. This approach can lead to undesirable results, not only for the individual, but also for the entire organization.
In modern businesses, the ability to make effective decisions has become as important as the strategy to follow. Indeed, every day, countless choices, nearly 35,000, ranging from the most insignificant to the most decisive, influence a company’s results. But the question remains: what separates good decision-making from bad, and how can companies systematize the former?
Faced with this observation, a new approach is emerging and redefining the rules of corporate governance.
The concept of decision-making excellence
The term “decision excellence” refers to making the right decision at the right time to achieve the right outcome. It is not just a leadership aspiration, but increasingly a structured approach to business management.
According to McKinsey’s “Business Decision Excellence™ 2024” report, which surveyed 500 senior executives from the largest 1,000 organizations in the US, UK and Canada and collected more than 50,000 data points, two factors are particularly critical. On the one hand, organizational connectivity, or the degree of decompartmentalization and circulation of information between teams, functions and external stakeholders. And on the other, the decision-making process itself, including the speed of execution, the quality of the data used and the efficiency with which choices are implemented. In other words, organizations that combine strong connectivity and efficient processes have a strategic advantage: they better anticipate risks, seize opportunities more quickly and adapt more easily to change.
This structured approach is not simple managerial theory: its benefits are concretely measured on the ground.
The impact on activity
Statistics show that companies that focus on the quality of their decisions reap tangible benefits. The study highlights several results:
Financial performance: Companies that improve their decision-making process can increase total shareholder returns by up to 14%.
Operational efficiency: Better processes reduce time spent on low-value activities, including a 43% reduction in unproductive meetings, while allowing more focus on core strategic issues.
Market Responsiveness: More effective leaders enable organizations to adapt more quickly, resulting in increased engagement with suppliers and customers, better aligned internal processes, and better real-time performance monitoring.
These findings suggest that decision-making excellence can become a competitive advantage, enabling companies not only to respond, but to lead in dynamic markets.
The crucial question then remains: how can you concretely transform your organization to achieve this level of excellence?
Implement decision-making excellence
Although the path forward differs from organization to organization, several priority areas emerge:
AI-powered scenario planning and analysis platforms build intelligence and connectivity by integrating data and systems across functions.
Data-driven cultures ensure that decisions at all levels are based on evidence rather than intuition alone.
Streamlining governance structures reduces bottlenecks and improves agility.
External partnerships—with customers, suppliers, and other stakeholders—build resilience and the ability to adapt in uncertain environments.
Among these levers, technology now plays a determining role, in particular with the emergence of artificial intelligence.
A significant change in the new era of AI
AI-powered planning platforms enable organizations to make sense of massive, complex data sets and make smarter, faster decisions. They not only process large amounts of information at high speed, but also detect anomalies at an early stage, allowing teams to diagnose problems and take action before they become serious.
As AI agents begin to autonomously manage complex workflows, relevant insights emerge without delay. Organizations that develop these capabilities not only accelerate decision making, but also create the connectivity, foresight, and trust that define decision excellence.
In a world where the speed and relevance of decisions make the difference between leader and follower, decision-making excellence is no longer an option: it is a strategic necessity.
