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

With technology/AI taking over administrative and repetitive tasks, human roles will shift towards more strategic, creative, ...

Engaging risk advisory partners early on is therefore crucial to managing complex risks through each phase of the data center project life cycle. It also supports cost-effective risk management and ...

SEE: How to Measure Data Quality (TechRepublic) Popular data management software Choosing the right data management tools from the onset can make a huge difference in an organization’s success.

Fab operations have wrestled with big data management issues for decades. Standards help, but only if sufficient attention to detail is taken during collection. Semiconductor wafer manufaFcturing ...

Forecasting is a critical component of product management, especially in the pharmaceutical industry, where it plays a vital role throughout the product lifecycle. As a product evolves from the ...

DBA Corner DBA Corner focuses on issues of interest to data architects, database analysts and database administrators. Issues addressed by the column include data modeling and database design, ...

Introduction Long-Term Retention (LTR) is one of data management tools that helps enterprises effectively manage their growing data estates while ensuring compliance with regulatory requirements. By ...

This lifecycle helps to ensure that your organization is complying with relevant regulations and that you’re not storing data unnecessarily. Information lifecycle management is a strategy for ...

While AI may be the catalyst behind the recent wave of data company M&A, the market was ripe for consolidation.

They assume that having cloud storage, a few BI dashboards or an AI pilot means they’ve “checked the box.” But these are just ...