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Key Concepts: Data Value Chain

This course will teach you how to take massive amounts of data and create actionable insights.

Beginner
33m
(5)

Created by Jillian Kaplan

Last Updated Feb 10, 2023

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  • Course

Key Concepts: Data Value Chain

This course will teach you how to take massive amounts of data and create actionable insights.

Beginner
33m
(5)

Created by Jillian Kaplan

Last Updated Feb 10, 2023

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What you'll learn

Do you need to know how to use and optimize data value chains in your organization? In this course, Key Concepts: Data Value Chain, you’ll learn to how to effectively interpret massive amounts of data. First, you’ll explore data value chain categories. Next, you’ll discover the importance of data value chain optimization. Finally, you’ll learn how to explore best practice case studies for data value chain optimization. When you’re finished with this course, you’ll have the skills and knowledge of a data value chain needed to make the best use of your data.

Key Concepts: Data Value Chain
Beginner
33m
(5)
Table of contents

About the author
Jillian Kaplan - Pluralsight course - Key Concepts: Data Value Chain
Jillian Kaplan
22 courses 3.7 author rating 173 ratings

Jillian is a 20+ year technology industry veteran. She currently works at a Fortune 50 Enterprise, prior to that she spent 14 years at Verizon. She has worked in engineering, product management, project management, marketing operations and product marketing. Having worked in so many different roles, she had a unique end to end perspective from initial product development to bringing products to market. She is a strong believer in ‘Technology for Good’ and works to bring it to the forefront of all messaging. She is an author, speaker and believer in paying it forward helping people in the industry find their voice and share their accomplishments. She currently resides in Massachusetts with her husband, daughter and dog. In her free time, she enjoys volunteering, spending time with her family, horseback riding, eating and working out.

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