Why advanced technology accelerates dysfunction when decision rights, workflows, and culture aren’t built to execute.

In explaining a data and analytics operating model, it is helpful to understand the business context. As the consumer experience becomes increasingly digitized, companies have access to massive troves ...

Buy-side firms are consistently faced with burgeoning volumes of data, necessitating adept management of expansive data extractions, a task fraught with intricacies and considerable costs. Arthur Orts ...

Key data and analytics trends in 2026 include decision intelligence, real-time analytics, semantic layers, platform ...

Ekyam announced the launch of riOS (Retail Intelligence Operating System) on Google Cloud Marketplace, enabling retailers to seamlessly connect operational systems, standardize data across the ...

"Analytics as a discipline has changed dramatically in the last five to 10 years – and for sure in the past five," says Anne Snowdon, chief scientific research officer at HIMSS. "With the explosion of ...

Artificial intelligence is rapidly transforming mortgage operations, driving new levels of efficiency, compliance, and innovation, but the key lies in pairing technology with human expertise. In this ...

Predictive maintenance is emerging as a necessity for aerospace and defense (A&D) systems. By leveraging advanced analytics to monitor equipment health and anticipate failures, operators can ...

The simple definition for operational analytics is that it is a term commonly used in business analytics about the measurement of how a business or organization is operating in real-time. Operational ...

LONDON--(BUSINESS WIRE)--Quantzig, a premier analytics solutions provider, has announced the completion of its latest success story that illustrates how predictive analytics solutions helped an ...

Maximizing The Value Of Data Science And Machine Learning Models Many organizations struggle to operationalize advanced analytics and data science models to meet the goals of the business.

Overview:  Bigger models don’t automatically perform better in supply chains. For routine operations like inventory checks, ...