In today’s interconnected digital landscape, information sharing is a fundamental aspect of business operations. However, the exchange of data comes with inherent cybersecurity risks, making it vital ...

Test data management (TDM) is a crucial practice for ensuring compliant data and providing uniformity to test data. In the same way testing environments and data models are continuously evolving, test ...

As they gain data maturity, state and local agencies are increasingly putting their information to work. In Washington, D.C., a real-time information dashboard helps first responders manage blood used ...

The aim of the Igniting Data Insights (IDI) initiative is to build a robust, secure and scalable data infrastructure that supports decision-making across campus and trains employees to use these tools ...

The AI wave has come on faster than most (including me) expected. Over the last decade, companies have slowly but surely started deploying AI. Return on Investment (ROI) was beginning to turn positive ...

A resource from the MetroLab Network offers local governments guidance about data governance policy and best practices. The resource, titled Model Data Governance Policy & Practice Guide, offers ...

Healthcare organizations and health systems depend on accurate patient access data to inform their strategies, from managing no-show rates and appointment confirmations to optimizing payment ...

When Scott Milner first joined what is now the e-data practice at Morgan, Lewis & Bockius he recalls many "paper cuts in warehouses." This week, he assumed the new role of global head and practice ...

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 ...

Failure to adhere to legal hold requirements can result in severe repercussions, jeopardizing the integrity of legal proceedings and exposing organizations to significant legal and financial risks.