Semarchy xDM

Semarchy Master Data Management (MDM) and Reference Data Management (RDM) is a software that provides all the MDM tools for data quality, data validation, data matching, deduplication, data authoring, workflows, and more to help ser design, manage and govern all reference and master data.

Languages supported: English, French

9.6/10 (Expert Score) ★★★★★
Product is rated as #5 in category Master Data Management (MDM) Software
Ease of use
9.0
Support
0.0
Ease of Setup
0.0

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Semarchy xDM is the single platform for managing and governing customer, supplier, employee (HR), product, financial, asset, location, supply chain and reference data in the Intelligent Data Hub™.

With xDM, users regain ownership of the enterprise critical data and easily define and enforce corporate policies. Organizations of all sizes and industries benefit from a full set of features to build production-ready operational and analytical applications in a single environment:

Data Discovery: Access any source, profile data, discover critical assets, and build data catalogs.
Data Integration: Connect applications and external data in real-time or batch with REST APIs.
Data Management: Deploy apps for data champions & users with built-in data quality, match/merge & more…
Data Governance: Build business glossaries, define & enforce policies with rules and business processes.
Analytics: Analyze metrics on any data, define ad-hoc KPIs, and take actions with Dashboards.

Semarchy xDM approach, which is implemented in an iterative fashion, to how and who manages data, resolves the most pressing challenge of data-driven organizations, which is to give more control to business users.

Semarchy xDM
Semarchy xDM

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Customer Reviews

Semarchy xDM Reviews

youness a.

Advanced user of Semarchy xDM
★★★★★
xDM as an enabler for the data governance journey.

What do you like best?

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?

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.

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.

What problems are you solving with the product? What benefits have you realized?

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.

Review source: G2.com

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