Tag: Data

For the third consecutive year, HBR Analytics Services has researched contemporary data use, focusing on its applicability to generative AI. The report—“Scaling Generative AI for Value: Data Leader Agenda for 2025”—spans multiple industries and companies globally. It’s time as conversations have noticeably pivoted from abstract use cases and generative AI pilots to a desire to […]

The exponential growth of enterprise data presents unprecedented opportunities for innovation, yet many organizations struggle to capitalize on it due to inadequate data governance. A robust governance framework is crucial for future-proofing and maintaining competitiveness. Effective data governance rests on four pillars: Data visibility: Clarify available data assets to inform decision-making. Access control: Balance accessibility […]

Balance security with innovation – seamlessly integrate compliance controls behind intuitive self-service capabilities to empower data-driven productivity and agility.

One year ago we published our first research report on the role of Chief Data Officers (CDOs). The renowned Tom Davenport, in partnership with MIT Chief Data Officer and Information Quality Symposium (CDOIQ), was commissioned to conduct a global study of CDOs across industries, tenures, and stages of the data journey. At the time I […]

Organizations need a powerful infrastructure to realize the full value of their data. The purpose of this infrastructure is to organize data, ensure its quality, manage metadata and create a central catalog where the organization’s data can be queried. This infrastructure, called the data foundation, enables organizations to have clean, organized, and easily accessible data […]

With data at the centre of every application, process, and business decision, nearly every organisation I talk to describes a quest to become more data-driven to discover and act on insights rapidly. They know there is gold to be found within the troves of their data, but—frustratingly—it usually doesn’t materialise in a timely way for […]

            From speaking with enterprise customers of all shapes and sizes, it is abundantly clear that we all share the same challenges: we’re racing to digitize our businesses, turn stalled progress into frequent innovation, and leverage data and machine learning. However, I feel there’s a gap in understanding how critical […]

“He uses statistics as a drunken man uses lamp posts—for support rather than for illumination.” —Andrew Lang When it comes to the data, it is culture first and capability second. In my previous post, I talked about how executives can create a data-driven culture in their enterprises. In this post, I am going to dive […]