Course Description
The Data Driven Enterprise Series of courses is designed for teams, managers, and executives to learn how to use data driven thinking to design strategy, process, business intelligence products, business structures and the customer experience. Big data is a symptom of our times, a challenge, but ultimately THE opportunity for the modern enterprise to differentiate and disrupt. There is almost no latency for business decisions in today’s hyper-competitive climate. Data driven thinking empowers the enterprise to act. Companies with purposeful, data driven approaches to decisions outperform their peers in output and productivity. In fact, the highest performing organizations use data driven approaches five times more than the lowest performing organizations.
This series provides a foundation for how to curate (select, organize, present) data to support decision making at all levels of the enterprise with the introductory course, Data Curation for Decision Making. This course provides instruction on data curation approaches, metadata, data valuation, and decision engineering.
What am I going to get from this course?
Evaluate and implement data curation strategies that support decision making at all levels of the enterprise. Whether at the team level or at the executive level, this course provides information, process and techniques to organize data within the modern concept of decision engineering.
Prerequisites and Target Audience
What will students need to know or do before starting this course?
This course is self contained, and provides all information a business professional needs to grasp the course contents.
Who should take this course? Who should not?
This course is for any professional interested in making data driven decisions.
Curriculum
Module 1: Data Curation for Decision Making Overview
Lecture 1
Introduction to Data Curation - Part 1
Lecture 2
Introduction to Data Curation - Part 2
Introduction to data curation for decision making. The introduction includes:
Definitions
Examples of data curation
Discussions of data, metadata, information, and knowledge
Lecture 3
Data Curation - Select
Concepts that drive this section:
Data must never rest
Data lineage for all vectors must be retained
The lone datum should never see the light of day
Data does not live in a vacuum
Ten questions from the charts used in the Data Curation - Select Lecture.
Lecture 4
Data Curation - Organize Part 1
Lecture 5
Data Curation - Organize Part 2
Lecture 6
Data Curation - Present
Module 3: Decision Engineering
Lecture 7
Decision Engineering - Systems Thinking
Quiz 6
Systems Thinking Quiz
Lecture 8
Decision Engineering - Complex Systems
Quiz 7
Complex Systems Quiz
Quiz 8
Decision Engineering Quiz
Lecture 9
Use Cases Overview
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