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Master Data Management
Rating: 4.5 out of 5(3,616 ratings)
39,436 students

Master Data Management

Learn about the basics of Master Data Management within organizations
Created byAdastra Academy
Last updated 10/2015
English
English [Auto],

What you'll learn

  • Understand the concepts of Master Data
  • Understand the concepts of Master Data Management
  • Describe Master Data Management challenges
  • Explain the Master Data Management architecture

Course content

1 section • 7 lectures • 30m total length

  • What is Master Data?3:20

    Master data management treats master data as entities, namely people, places, and things, that underlie business processes, across deployments, with infrequent changes propagating to synchronize systems across lines of business.

  • The Master Data problem and challenge4:13

    Master data management creates a single version of the truth by cleansing, matching, and merging records from silos into a golden record shared across systems for harmonized downstream reporting.

  • What is Master Data Management?4:36

    Consolidate, cleanse, govern, and share organizational data to create a single source of truth, and explore golden record concepts, CDI, VDI, PIM, and operational versus analytical master data management.

  • The Master Data Management Process4:45

    Cleanse and standardize records, enrich data with external lookups like Canada Post, then match and unify them into golden records through iterative rules.

  • Data Matching Techniques5:49

    Master data matching techniques to create a golden record through exact and fuzzy matching, record linkage, rules and thresholds, and merging, with data lineage in a data management repository.

  • Master Data Management Implementation Styles4:53

    Master data management implementation styles include the consolidation hub architecture with cleansing and deduplication, coexistence files, and registry approaches relying on pointers to source systems.

  • Bonus: Sneak peak at the Reference Data Management course3:14

    Explore reference data management within master data management, covering terminology, architectures, and how reference data bridges source systems, ensures cross-department consistency, and supports country and currency codes and hierarchies.

Requirements

  • A basic understanding of enterprise data management

Description

This introductory level course provides students with a high level understanding of Master Data Management. Master Data refers to having a single copy of a data record for an organization to ensure that the proper data quality measures are in place. Master data also ensures consistency of reporting across all multiple lines of business within an organization.

This course highlights key Master Data Management concepts, methodologies, and processes including definitions, examples, common master data challenges, architecture considerations, types of master data projects, the data mastering process, and matching and merging techniques. The course also touches on best practices of master data storage within a repository structure.

The main items explained in this course include:

  • What are the main concepts of Master Data
  • What are the main concepts of Master Data Management
  • What are the Master Data Management challenges within organizations
  • What are the main Master Data Management architectures


Who this course is for:

  • Data Stewards
  • Business Intelligence professionals
  • Data & Analytics experts

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