Master data management

Data Governance is a term that picked up its importance in recent years when enterprises started realizing the importance and impact of Master Data, Data is all around us and it is not an exaggeration to tell that Data governance is part of the environment. I was exploring the standard framework for data governance over… The post Enterprise Master Data Governance – A short story!! appeared first on Analytics India Magazine.

Data sharing has become more and more popular, even in small and big organisation. A good master data management strategy allows you to share data among different departments and staff, facilitating communication within your company. A fundamental thing for sharing...

Once And For All, We Answer The Question Of Why Master Data Management Is Important For Companies — Here Are 7 Essential Reasons!

Setting up data quality management seems to be a blurry task? We show what a well-organized process looks like and enumerate the required tools. These best practices will help you improve the quality of your data and, ultimately, your decisions.

Many life sciences companies find themselves in an unfortunate situation when it comes to their systems for managing their universal data, which is the information about customers and products that’s used by multiple functions in the organization. Given the cost and complexity of developing an enterprise-wide solution, they’ve allowed spot…

Data Management Best Practices - infographic

Technically difficult to explain topics benefit from clear visual explanations. We recently undertook a wide-ranging series of topical illustrations to help implement an SAP software upgrade. Here’s one from the series, with definition, sketch, and final file. Master data management (MDM) is a comprehensive method of enabling an enterprise to link all of its critical data to one file, […]

Companies now realize that ongoing competitiveness depends on the ability to free critical business processes from the confines of individual applications and execute them smoothly and consistently across system boundaries. Master Data Management (MDM) helps companies achieve this challenging goal in a way that leverages the existing system environment and maximizes overall IT investment. Now there is a way to eliminate the data redundancies and inconsistencies that diminish business…

The Stanford maturity model considers six components subidivded by three dimensions, all across 5 maturity levels. Here's how you can use it.

Is Reading DAMA DMBOK Enough to Implement Data Management? DAMA DMBOK provides "the what' of Data Management. Here are some of "the how" activities needed to implement Data Management Program.