Data is far from a new buzzword; its role in decision-making has been recognized for centuries. However, the demands of modern business, today’s intensely competitive markets and emerging trends have ...

Forbes contributors publish independent expert analyses and insights. Dr. Jonathan Reichental covers technology in business and society. Right now, it won’t come as a surprise that digital ...

Companies have been working to become more data-driven for many years at this point, with mixed results. These efforts play out over time in organizations, and persistence, resilience, execution, and ...

It’s well known that having plentiful, high-quality data is necessary to becoming a data-driven organization. After all, data powers strategic decisions across any business function, ranging from ...

When leaders say they want to be a data-driven organization, a key objective is empowering business people to use data, predictive models, generative AI capabilities, and data visualizations to ...

In today’s data- and AI-driven world, chief data officers face the challenge of structuring an enterprise data team that is trusted by all stakeholders across the organization and delivers against ...

The DOJ’s message from the 2024 ECCP is clear: if companies want to maintain credibility, mitigate risks, and avoid scrutiny, they must embrace data analytics to support and document their compliance ...

Here are five practical success strategies to help businesses become truly data-driven by focusing on strategy, culture and simplicity over technology. Start with strategy, not tech, to become truly ...

The Fast Company Executive Board is a private, fee-based network of influential leaders, experts, executives, and entrepreneurs who share their insights with our audience. According to a study from ...

Leadership is the cornerstone of organizational success, with research showing that about 70 percent of the variance in employee engagement is attributable to the quality of leadership. Effective ...

AI puts skill development at risk for data scientists by minimizing hands-on practice and repetition.