There's a crucial strategic distinction between using data to optimize existing operations and using data as a catalyst for deep transformation and innovation.

63% of business leaders describe their organizations as very data-driven, up 10% from 2023. Only one in two business leaders is confident about the ability to deliver timely business insights. The ...

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 ...

Alex Chertoff is a senior research specialist and Tim Pasto is a director, advisory at Gartner Inc. CHROs are increasingly turning to talent analytics to derive insights on outcomes like attrition, ...

These capabilities matter. According to McKinsey, generative AI could unlock between $60 billion and $110 billion annually ...

When I presented the concept of generic, AI-driven data quality monitoring, without defining all the rules upfront, the ...

Faced with declining enrollments and changing demographics, colleges and universities must make use of data and analytics to better serve students. With the anticipated higher education enrollment ...

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 ...

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 ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

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 ...

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 ...