MDM Experts on Building Trusted Data in Azure: Part 1

In our inaugural “Data After Dark” series — part webinar, part cocktail party — a panel of experienced MDM experts discussed master data management (MDM) from their different viewpoints – a customer implementer, a Microsoft data technologist and an MDM vendor.

Profisee MDM and Machine Learning

Master Data Management and Machine Learning are both data-intensive technologies and can enhance and enable each other. MDM can improve the quality of data used to perform machine learning, reducing data preparation efforts while improving the accuracy of the model through better data. Conversely, Machine Learning can also be used to automate MDM, reducing the burden on administrators and data stewards.

2021 Gartner MDM Magic Quadrant Trends: Be Careful Out There

The long-awaited 2021 Magic Quadrant for Master Data Management Solutions has arrived! It’s arrived a bit later than expected, likely due to the increased number of MDM Gartner client inquiries (the document cites a 28% YOY growth rate for the period between March and December of 2020) being fielded by the authors. It is an exciting time to be in the world of MDM and my former colleagues at Gartner have produced another informative iteration of this important research that reflects that excitement. Part of that research reveals some of the most interesting MDM market trends to look out for this year.

Retailers: Survive and Thrive in the Age of Acceleration

Whether you are dealing with a global pandemic or the chaos of the holiday season, retailers need two things: Insight and Agility. Insight to understand rapidly changing customer behavior and Agility to be able to quickly react to it. We will review how MDM and Data Governance are the foundation of the data strategy that delivers the Insight and Agility retailers need to survive and thrive in even the most challenging of times!

Modern Data Management for Manufacturing

Data is essential to effective and efficient manufacturing – but many manufacturers are building their business on a shaky foundation. Unless your data is complete, consistent, and trusted, data is not an asset but a liability.

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