Data-driven decision-making is a process of using data to make informed decisions to drive business growth. However, it creates a powerful tool for business success in today’s dynamic and data ...

Data-driven decision making (DDDM) refers to the systematic process of collecting, analyzing, and applying data to inform ...

2. Inform Decision-Making Processes By implementing and tracking KPIs (key performance indicators) over time, leaders can collect data, analyze and drive informed decisions with measured metrics.

Data-driven decision making is no longer a nice-to-have—it's a must-have for modern retailers. According to Statista, about half of respondents to their 2020 survey reported utilizing data ...

Effective data-driven decision-making requires good tools, high-quality data, efficient processes, and prepared people. Here’s how to achieve it.

The rise of AI in data-driven decision-making, and how leaders can prepare for the future.

In today’s fast-paced business landscape, data-driven decision-making is essential for gaining a competitive advantage. The process of gathering and processing data is much easier with the aid ...

The study also shows companies still aren’t where they want to be when it comes to using data and analytics for faster, better decision-making — and don’t even think they’ll get there by 2020.

Whether it’s business intelligence, predictive analytics or machine learning, using objective data rather than hunches to drive decision-making is something businesses increasingly talk about.