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1
Intro
2
What is MDM
3
What Problems Does MDM Solve?
4
Analytical MDM
5
Operational MDM
6
Overview of Both Approaches
7
Implementation Style
8
What Makes MDM Unique
9
Solutions to Support MDM
10
Need for MDM
11
MDM is Changing
12
Future of MDM
13
Q&A
Description:
Discover the critical role of Master Data Management (MDM) in data science through this informative 44-minute presentation. Explore the fundamentals of MDM, its problem-solving capabilities, and the distinction between analytical and operational approaches. Learn about implementation styles, unique features of MDM, and supporting solutions. Understand the growing need for MDM, its evolving landscape, and future trends. Gain valuable insights into leveraging MDM tactics for improved business outcomes, essential for data scientists working with large datasets and complex models. Conclude with a Q&A session to address specific queries and deepen your understanding of this crucial discipline in the data science field.

What Data Scientists Need to Know about Master Data Management - Future of MDM

Data Science Dojo
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