Healthcare systems today are incredibly complex beasts. From EHRs and lab results to doctors notes and imaging, they hold vast datasets that are structured, managed and processed in different ways ...

Discover why data fragmentation is a business problem, not a technical one, and how leading organizations are acting across ...

Paylocity reports AI can't resolve payroll data issues and that fragmented systems lead to errors, adding that companies must ...

Data fragmentation is costing dealerships, OEMs, fleets, and upfitters millions. Here’s why interoperability may be the fix the trucking industry needs.

From operating room utilization to patient outcomes and supply chain costs, ASCs must closely monitor a range of performance data to deliver on their value proposition as a low-cost, high-efficiency ...

A new analysis published in Elsevier’s Funding Forward: Policy & Impact newsletter argues that government funders face a foundational challenge that underpins many of their most pressing priorities: ...

As artificial intelligence (AI) is now a central pillar of enterprise strategy, many organizations are rushing to integrate AI into their analytics and data ecosystems. From predi ...

Data silos and disconnected technology systems are a persistent challenge for law firms. As newer systems are added to solve specific problems, very few are designed to create a firmwide source of ...

Data Privacy Week (January 27 to 31, 2025) is an important time in the business caldenar dedicated to raising awareness about the significance of data privacy and ...

DataOps, an adaptation of what’s traditionally known as DevOps, has evolved into an essential component of modern business operations. DataOps applies the concepts that have fostered more agility and ...

Modern marketing faces a critical challenge: data fragmentation, leading to disconnected customer experiences and lost sales.