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xDM - Intelligent Data Hub

SEMARCHY | 2024.2.0a

Linux/Unix, Ubuntu 22.04_LTS - 64-bit Amazon Machine Image (AMI)

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External reviews

21 reviews
from G2

External reviews are not included in the AWS star rating for the product.

    youness a.

xDM as an enabler for the data governance journey.

  • February 15, 2021
  • Review verified by G2

What do you like best about the product?
the easy use of Semarchy and the full content: data cataloguing, MDM, data quality aspect. One tool fit for use and fit for purpose. MDM solutions, on the other hand, should be focused on a business problem. Gathering a more complete view of one's customers is a typical example. We know our support centre could help users better if it had a more accurate and more complete picture of the customer. For this problem, master data management may provide a solution. Maybe there's a database, some dashboards, and some data integration involved.

The business team doesn't directly care about the database or the dashboard technology or the ETL tool. But they definitely care about the accurate definition of a customer and how to roll up or drill down into hierarchies.
What do you dislike about the product?
No ETL in this tool, the then additional cost to forecast. IT uses ETL to move data from one place or one format to another. MDM solutions solve business problems resulting from inaccurate or incomplete data. The business uses MDM to gain a single view of customers or products. Yes, they are both tools and technologies that deal with data.

But they don't address identical problems, and they don't approach problems from the same direction.
What problems is the product solving and how is that benefiting you?
Having a golden copy of the master and referential data in one place. Simplifying the architecture. avoid cost when migrating to new tools. covers the initial integration and centralization of master data, class-leading processes including Master Data Cleanse, and Quality & Governance. It covers all three of the business domains of master data – Customer-Centric, Enterprise Centric and Supply Centric, including specializations in the following areas:
User Data – User accounts, workflow routes, approval matrixes F&A – GL accounts, cost and profit centres, bank master, cost elements,
fixed assets, order group Production Planning – Resource, resource hierarchy, master recipe, the production version.
Recommendations to others considering the product:
Begin with a POV in order to show the management team the features and to construct the business case.

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