Today, many enterprises are discovering that their existing data architectures simply weren't designed for the demands of AI ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. CRMs, Excel spreadsheets, web-based measurement tools and reports of all kinds—now it’s all ...

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 ...

Opinions expressed by Entrepreneur contributors are their own. The digital age has ushered in a new era where data reigns supreme, providing businesses with valuable insights into customer behavior, ...

Use this list of best practices for establishing and maintaining data governance within your organization. The volume of data that the world produces has risen exponentially in recent years. In 2020, ...

As your data evolves, you need a way to track the who, what, when, why, and how of those changes. You need a data lineage system. Databases are good at inserting, updating, querying, and deleting data ...

In 2019, UnitedHealthcare’s health-services arm, Optum, rolled out a machine learning algorithm to 50 healthcare organizations. With the aid of the software, doctors and nurses were able to monitor ...

Log files offer a wealth of information about system and user functions. They also provide a safe way to get started analyzing large data sets. Dave Rosenberg has more than 15 years of technology and ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

MGMA, which supports medical practice leaders, polled 872 members about how their practice uses EHRs for analytics. Here’s what they found. 1. Thirty-one percent of respondents said they use all their ...

Over the past few decades, businesses, governments, and militaries worldwide have relied heavily on data analytics to advance operations, gain critical insight for tactical advantages, and improve ...