Manoj Gudala, Global Lead IT Business Analyst at Kellanova, is advancing enterprise analytics with a hands-on approach to BI, ...

But despite its advantages, DDDM can still pose challenges. Data security is critical, with regulations like the General Data ...

Forget rearview metrics—chief data officers are using predictive analytics to steer goal-setting with real-time, ...

In the modern digital era, Master Data Management (MDM) is undergoing a revolutionary transformation with the integration of artificial intelligence (AI) and advanced analytics. Viswakanth Ankireddi ...

Mastering the Basics: The Fundamentals of Statistics and Inference The Rise of Data-Driven Decision-Making: Why It’s Crucial for Success Variable vs. Attribute Data: What’s the Difference?

The utilities sector is experiencing a seismic shift. Environmental concerns, a sustainable future, technological ...

AI fosters a data-driven decision-making culture, ensuring that organizations rely on factual insights rather than gut feelings. Companies leveraging AI gain a strategic advantage by responding ...

Operation research specialist Ruediger Hagedorn explains how and why data-driven decisions form the backbone of sustainable business practices Leveraging data reliably and efficiently is more ...

One of CELT's main objectives is to support municipalities in their clean energy transition through data-driven analyses and maps. To plan and realize clean energy policies and projects, local and ...

Luca, Michael, and Amy C. Edmondson. "Where Data-Driven Decision-Making Can Go Wrong." Harvard Business Review 102, no. 5 (September–October 2024): 80–89.

This update aims to provide systematic, data-driven insights into the economic contributions ... and integrating findings into economic models and decision-making platforms. Through these efforts, ...