DQM is becoming a core capability for organizations that need to make better decisions with data. What are the responsibilities of different roles in DQM? Image: WrightStudio/Adobe Stock Data quality ...

Data quality management efforts — tied to disrupting innovations, rapid market shifts and regulation pressures — will continue to grow in 2023 and take on a more dominant role in the data management ...

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

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. As data sources and volumes grow exponentially year by year, we are seeing an increasing ...

Data quality management is a crucial part of any data integration process. It may be considered the first step to the integration process, as quality data is the key to achieving profitable insights.

SAN FRANCISCO--(BUSINESS WIRE)--Monte Carlo, the data and AI observability company, today announced a series of product enhancements and new capabilities at its annual IMPACT Data Observability Summit ...

SAN FRANCISCO--(BUSINESS WIRE)--IceCream Labs, the leader in intelligent merchandising solutions for e-commerce providers, today unveiled CatalogIQ, an AI-based platform that leverages machine ...

AI-driven MDM systems empower organizations to adapt efficiently to evolving data landscapes, ensuring data remains a valuable asset that supports business goal Master Data Management (MDM) ensures ...

Head over to our on-demand library to view sessions from VB Transform 2023. Register Here A new study commissioned by Capital One from Forrester, titled New Data Management Models Are Essential To ...

In recent years, there’s been an explosion of tools that allow businesses to connect, transform, analyze and serve data from all kinds of sources. Combined with the increasing pressure on businesses ...