Semarchy xDM Overview

Semarchy xDM is the #11 ranked solution in our list of top Master Data Management tools. It is most often compared to Informatica MDM: Semarchy xDM vs Informatica MDM

What is Semarchy xDM?

Semarchy is the Intelligent MDM company. Its xDM platform is an innovation in multi-vector Master Data Management (MDM) that leverages smart algorithms and material design to simplify data stewardship, governance, and integration. It is implemented via an agile and iterative approach that delivers business value almost immediately and scales to meet enterprise complexity.

Semarchy xDM is also known as Semarchy Intelligent MDM.

Buyer's Guide

Download the Master Data Management Buyer's Guide including reviews and more. Updated: May 2021

Semarchy xDM Customers

DiamondStream, Oakley, Araymond, EBU/Eurovision, Groupe Roullier, BOSE, Chipotle Mexican Grill, Putnam Investments, BAE Systems, Mundi Pharma, Merck, Elsevier, CMA CGM

Semarchy xDM Video

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Independent Software Consultant at a tech services company with 11-50 employees
Consultant
Top 5Leaderboard
Great user interface, very good documentation, and offers excellent pricing

What is our primary use case?

One use case was mastering client data. I did the installs and a proof of concept for both Profisee and Semarchy side-by-side so that I could showcase the different features of each tool for the client, to guide them to a decision on which product to buy. That use case would have been mastering personal data in the support of a non-profit.

Pros and Cons

  • "Their documentation is excellent."
  • "They need to make the workflow more enhanced or dynamic in its functionality."

What other advice do I have?

I'm not sure which version of the solution I'm using. While I typically use the on-premises version, I took their partner training workshop a few months ago and that was in the cloud on AWS. It is one cool little tool. I was able to take a handful of records as a use case and easily ingested them into the tool, and the customers just loved it. I was able to show how you can easily cleanse those records, standardize those records, match them, and build the golden record very quickly. I'd advise users to pick a small use case, take it end to end, and build it out that way as a proof of concept…