Extracting Value from Dark Data: ULEADD (Coursera)

This course is part of the Dark Data Migration and Architecture Specialization.

What you'll learn
Learners will gain working knowledge on the ULEADD approach to extracting value from data.

Syllabus

Course Introduction
Welcome to Extracting Value from Dark Data: ULEADD. We are excited you are here and hope you finish this course with working knowledge of the ULEADD approach to extracting value from data. Though this course focuses on using ULEADD with dark data, you will likely find that this approach is helpful in many project and data scenarios.

Module 1: Introduction to ULEADD
One of the challenges of dealing with dark data is based on how we think about what we know. We believe that we know what we know. We believe we know what we don’t know. We believe we know things that are actually unknown to us. We may not realize that there are things that are completely unknown to us. To be competitive, we need to rapidly learn the unknown and find a way to create value from it. ULEADD (Understand, Learn, Evaluate, Assess, Define, Design) is a way to improve decision-making, reduce failure, and structure discussions in a productive, team-based environment. ULEADD is a framework for discovery that provides a structure to identify and extract value from data that is typically hidden from sight.

Module 2: EVALUATE and ASSESS and the Path Forward
The evaluate and assess steps in ULEADD set the stage for everything you do when you approach dark data. You will be better positioned for success by understanding what you know and don’t know, what you need to move forward, and methodologies that will support your work.

Module 3: ULEADD: Design for the Unknown
The define and design steps in ULEADD are where you document what needs to be done and begin to plan your solution. These key steps act as your blueprint forward, ensuring that you have a complete picture and plan before beginning any data work.