In healthcare, the costs are not merely financial. Incomplete, inconsistent or delayed electronic health records can lead to ...

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.

Many organizations are experimenting with AI programs, but most of them face a significant and seemingly intractable problem. Although proof-of-concept (POC) projects and minimum viable products (MVPs ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Data quality in the modern economy, where data-driving action is critical to business ...

As organizations look to adopt the new wave of coming technologies, like automation, artificial intelligence and the Internet of Things, their success in doing so and their ability to differentiate ...

Data governance, data integrity, and data quality are all widely used terms, but what do they actually mean and how are they connected? Nomenclature is important. Data governance, data integrity, and ...

While companies may share common ground when it comes to their data quality problems, data quality tools and strategies are not one-size-fits-all solutions to the problem. Each company should approach ...

Linying Dong is affiliated with Ryerson University, and volunteers at the Board of Directors of Carefirst. Karim Keshavjee is the CEO and majority shareholder of InfoClin Inc, an organization that ...

For clients, data quality is fast becoming a pressing issue. Some are starting to take a tougher approach. Liam Kay-McClean examines some of the key questions. In the conversation around data quality ...