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[Step-by-Step] Introduction to Talend Master Data Management

[Step-by-Step] Introduction to Talend Master Data Management

  • Mark Balkenende
    Mark Balkenende is a Sales Solution Architects Manager at Talend. Prior to joining Talend, Mark has had a long career of mastering and integrating data at a number of companies, including Motorola, Abbott Labs and Walgreens. Mark holds an Information Systems Management degree and is also an extreme cycling enthusiast.
  • May 30, 2018

With increasing needs for data analytics and ever more stringent laws concerning data security and privacy (looking at you, GDPR), data governance has become a business imperative for any data-driven company. Master Data Management (MDM) is an essential part of any data governance strategy, it is commonly defined as the comprehensive method used to consistently define and manage the critical data of an organization to provide a single point of reference.

Master Data Management is often perceived as an IT responsibility; but because data governance is a company-wide responsibility, IT teams need MDM solutions that enable everyone in the company. Talend MDM provides an intuitive and accessible solution to manage and master critical data.

The video series below explains how IT teams can use Talend MDM to implement a sustainable Master Data Management strategy that works for everyone in the company.

The first video gives an overview of the complete MDM solution from data models to data integration jobs to data stewardship workflows. The intuitive User Interface of Talend MDM makes it easy to interact with charts and deep dive into specific Master data. The highly customizable dashboard provides users with an end-to-end view of their critical data.

The second video presents the step-by-step process to create and deploy MDM data models using the concrete use case of an HR department managing employees’ data. Users can create any number of MDM domains, the user can define the appropriate data model by adding specific business elements such as social security numbers, hiring data etc. When creating the view, the user can decide which business elements should be visible, searchable and hidden to each role within your organization. Permissions to read and write in the data container, data model and view can then be assigned to different sets of users before deployment. Finally, the deployment of all your MDM objects are done with just a few simple clicks!

The last video of the series focuses on one of the key roles of data stewards: matching data to remove duplicates and cleanse data sets. Match rules are used to define how MDM decides whether two or more data records will match, and how to handle them if they do. In Talend MDM, match rules can be directly created and accessed from the repository tree on the left-hand side. When creating a new matching rule, it’s easy to define elements to consider for data matching (e.g. first and last names) and the confidence weight of each element. The new match rule can then be used in data integration jobs. And YES, I understand that is a very simple example, but it was to keep the video short.  I could build hours of videos on how you can build very complex matching algorithms using advance standardizations, phonetics, generated keys for building blocking keys to do highly performing matches, but I want you to see in these videos how Talend’s integrated platform works together in a truly unified fashion.  

And with this, you’re all set to successfully start implementing a sustainable phased-approach to Master Data Management strategy.

Talend’s approach is how many of customers can claim success within the first 6 months of starting their MDM projects!  Carhartt, for instance, went live with their MDM project in just 4 months.

Learn More about Talend MDM

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