New head coach Martin Paterson talks about the data-driven approach at Notts County and working with a technical committee.

Enterprise data management (EDM) is the framework organizations use to manage data across systems, teams and workflows. It ...

The foundation of effective risk management is data collected from business operations. Data is linked to two significant ...

Eventual's data processing engine Daft was inspried by the founders' experience working on Lyft's autonomous vehicle project.

Census data has underpinned nearly every aspect of political decision-making and policy development for decades. The new ...

With the right data management tool and strategy in place, organizations can fuel advanced use cases to remain ahead in an uncertain macro-environment.

In its 2025 State of Data Sanitization Report, released on Wednesday, data erasure specialist Blancco revealed that companies ...

SiC trails behind the mature silicon industry in adopting advanced analytics and streamlined yield management systems (YMS).

The ETL architecture Saurabh developed incorporated robust error handling, data validation rules, and performance ...

The challenge was formidable: process and analyze massive datasets totaling 5TB while delivering real-time risk insights to ...

Data management is a multidisciplinary process that keeps data organized in a practical, usable manner. At its most fundamental level, the goal of data management is to ensure an organization’s ...

Can we redefine cloud data safety? The increased shift to the cloud has expanded the playing field for cyber threats. This amplifies the urgency for superior security strategies, with Non-Human ...