Data drives smart decision-making in modern industries, but the old saying still holds true: “Garbage in, garbage out.” The quality and completeness of the data pulled for analysis play a huge role in ...

Forbes contributors publish independent expert analyses and insights. Gary Drenik is a writer covering AI, analytics and innovation. In today’s rapidly transforming world, Data has emerged as a key ...

Unfortunately, this book can't be printed from the OpenBook. If you need to print pages from this book, we recommend downloading it as a PDF. Visit NAP.edu/10766 to get more information about this ...

Learn the definition of data quality and discover best practices for maintaining accurate and reliable data. Data quality refers to the reliability, accuracy, consistency, and validity of your data.

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 ...

The recent COVID-19 pandemic has underscored the critical need for efficient data exchange among institutions to effectively respond to health emergencies and combat global health threats. While the ...

Tasked with driving innovation and improving quality while simultaneously controlling costs, healthcare leaders are in an incredibly difficult position. As healthcare costs continue to rise, these ...

In an accounting or ERP system, most of the data must be right, period. If invoices, accounts receivable, inventories, work-in-process numbers, ECAD files are “best guesses,” someone will lose their ...