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Slide Notes

I experimented with adapting the SlideShare version of this deck into slides that might accompany a speaker. Mainly, I modified the "Master Data Criteria" section.
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How to Define Master Data (lecture version)

Published on Nov 19, 2015

This presentation briefly introduces the complex topic of Master Data Management (MDM) and defining Master Data. The specifics of the endeavor would be subjective to the organization.

PRESENTATION OUTLINE

Master Data

How To Define
I experimented with adapting the SlideShare version of this deck into slides that might accompany a speaker. Mainly, I modified the "Master Data Criteria" section.
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Master Data Management is vital in promoting the ability to retrieve accurate, complete, relevant, and timely information.

A preliminary to implementing MDM is to define Master Data - in two senses:

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1.
Define the meaning of the term Master Data

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2.
Define the data that warrant Master Data Management

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Master Data

David Loshin's "description" of
In her article “Defining Master Data for Your Organization,” (http://www.itbusinessedge.com/cm/blogs/lawson/defining-master-data-for-your...) Loraine Lawson references industry leaders David Loshin of Knowledge Integrity, Inc., and Marty Moseley of IBM. (Loshin refers to his definition as a “description.”)
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"Master data objects represent the core business concepts used in the different applications across the organization...such as customers, suppliers, parts, products, locations, contact mechanisms."

Supplemented by Marty Moseley

Moseley augmented Loshin’s post with his own response.
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First, leaders should determine their organization's data-defining "subject areas."

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Then, they should evaluate the data in each subject area against the following three criteria:

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1. The subject area is a building block of critical business transactions.

2. The data in the subject area are created and managed in multiple systems.

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3. Incorrect, inaccurate, incomplete, mismanaged data in the subject area have the potential to harm the organization.

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Master Data Criteria

Wolter and Haselden's
In their article "The What, Why, and How of Master Data Management," (http://msdn.microsoft.com/en-us/library/bb190163.aspx) Wolter and Haselden discuss eight criteria that should be considered jointly in deciding which data to include in MDM.

8 Master Data Criteria

1. Behavior

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2. Life Cycle

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3. Cardinality

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4. Lifetime

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5. Complexity

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6. Value

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7. Volatility

8. Reuse

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Neglecting to define and manage Master Data can be costly for an organization.

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Start the Discussion

IN YOUR ORGANIZATION
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