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Scoping a Data Management Initiative

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About Course

This is Course 2 of the Program “Establishing a Data Management Function.”

 

This course is an advanced training course for data management professionals. This course has several objectives:

  • Share knowledge and assist in developing practical skills to establish a data management function
  • Demonstrate practical methods to choose a data management framework that fits a company’s needs and resources
  • Show an integrated approach to implementing multiple data management capabilities

After completing this course, you will be able to:

  • Define business drivers for your DM initiative
  • Identify its key sponsors and stakeholders
  • Define and document the scope of your initiative

What Will You Learn?

  • The key factors that influence the scope of a data management initiative
  • Approaches to classifying data
  • Definitions of data assets and products
  • Definitions of business drivers
  • Identification and analysis of stakeholders

Course Content

Introducing the “Data Management Star” Implementation Method
This section provides a high-level overview of the “Data Management Star” implementation method and its Step 1. This method forms the basis for the program “Establishing a Data Management Function.” In this course, we will perform all activities required to complete Step 1: “Scoping a Data Management Initiative.”

  • Introducing the “Data Management Star” Implementation Method
    06:37

Defining Business Drivers
This section introduces the concept of a business driver. A business driver links a business strategy with a data management initiative. We discuss various internal and external drivers that could motivate a company to start a data-related initiative.

Identifying Sponsors and Stakeholders
This section discusses the concepts of a business stakeholder and sponsor. We will investigate stakeholder groups at different organizational levels because data management delivers different value propositions to these groups.

Outlining an “Enterprise”
This section introduces the concept of an “enterprise.” Every company faces a choice: to begin a data management initiative for the company as a whole or only one of its parts. The correctly identified “enterprise” scope is one of the success factors of the initiative.

Defining Terminology
This section defines key terms we will use in this course and program. These terms are “data,” “metadata,” “information,” and “knowledge”; a data “lifecycle” and “chain.” Often, the definitions of data management terms vary depending on the context. We use the context of data processing to define these terms and their relations.

Classifying Data
This section considers six factors that influence data classification: data format, storage, data processing and lifecycle steps, the purpose of usage, and security level.

Defining Data Assets and Products
In this section, we investigate the concepts of data “product” and “asset.” These terms have multiple definitions in various contexts. We also consider the relationship between these concepts.

Documenting the Scope
This section summarizes all topics in this course by demonstrating the final document, “The Scope of a Data-Related Initiative.”

Student Ratings & Reviews

5.0
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RK
RENJITH K P
6 months ago
Excellent
MT
michael TASKER
11 months ago
was okay
Data Crossroads Academy