The lifeblood of business is data, and business stakeholders need at least a basic understanding of how their IT teams use and manage that data. There are three keys to understanding master data: what ...

There's a right way (taking care of all departmental data needs) and a wrong way (ignoring data governance) to write an MDM RFP. MDM vendor Siperian has identified 10 common mistakes that CIOs ...

For example, customer 360 platforms (sometimes called customer data platforms) specialize in storing customer data, and product information management systems are specific to product information.

Master data management - it's about information not technology MDM and data-sharing are not impossible in government, just a little bit harder. The key problem is not technological but organizational.

"To use the example of digitizing and bridging external referrals, we needed an MDM [master data management] system that would address: obtaining and processing referrals, automated reporting, ...

Master data management (MDM) is a set of disciplines, processes, and technologies used to manage an organization’s master data. Master data is data about business entities or objects (customers ...

While the concept and technology are not new, master data management (MDM) is experiencing a resurgence in demand which is expected to continue as companies seek out strategies to handle the ...

Inaccurate and/or erroneous data entry prohibits the benefits from cross-functional processes flows sought in environments like build-to-order manufacturing for example. Master Data Management ...

Companies looking to gain a 360-degree understanding of their data should look to logical data management as an agile, economical, and flexible solution to this persistent challenge.

Not addressing master data issues ahead of any heavy investments in AI/ML can result in the significant rewiring of data in the ML training sets later and render any previous insights useless.