Basic Data Management – A Comprehensive Overview eLearning

A walkthrough of enterprise data management, covering the knowledge and key terms you need to understand how data is managed throughout its life cycle.

Overview

Embark on a comprehensive journey through the data life cycle, from inception to expiration, and gain invaluable insights into the critical management priorities at each stage. This course empowers you to develop a deep understanding of how to strategically handle data as a vital asset, with a special focus on data management practices that directly support AI and machine learning applications. By mastering the cradle-to-grave approach to data management, you'll be equipped with the knowledge and skills necessary to optimize your organization's data processes, unlocking the full potential of your data-driven initiatives and propelling your AI and machine-learning projects to new heights.

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Full course details

Course outline

Part 1: Understanding what data management is and why it is an important asset

  • Why we need data management
  • Who and what is impacted by data
  • Data as an organizational asset

Part 2: Understanding strategic data priorities

  • Prioritize data assets 
  • What’s at stake if we fail to properly manage data?
  • How data relates to AI

Part 3: Data Strategy

  • Seven goals
  • Guiding Principles

Part 4: Overview of the Data Lifecycle

  • Phases of the lifecycle
  • Data Framework

Part 5: Where Data Management Fits

  • Manage for planning
  • Planning key questions
  • Collect key data and questions
  • Developing a quality insurance plan

Part 6: Manage Across the Lifecycle

  • What is data architecture? 
  • What is data governance? 
  • Core data stewardship concepts 
  • Data security and privacy

Part 7: Final Assessment

Audience / prerequisites

This Basic Data Management self-paced course will be invaluable for:

  • Data strategy owners
  • Data managers
  • Data engineers
  • Artificial intelligence stakeholders
  • Database administrators
  • Digital transformation leaders
  • Data integrators

In this class you will learn how to
  • Understand why data is such an important asset
  • Review who and what is impacted by data
  • Why data management facilitates a culture of better data-driven decisions
  • Examine the data lifecycle and each of its phases
  • Learn how to manage data based on the phases of its lifecycle
  • Understand data management priorities that transcend individual phases of its lifecycle
  • Collect. Prepare, store, use, and manage data so it’s well-suited to AI ad machine learning applications
  • Learn why a data management strategy depends on mission objectives

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