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University System of Maryland

Effecting Digital Transformation with Data Analytics Projects

University System of Maryland via edX

Overview

Champions of digital transformation have many data technologies to choose from:

  • Artificial intelligence

  • Machine learning

  • Cloud computing

  • Digitization

  • Predictive analytics

  • Internet of Things

  • Deep learning

As a business leader, you may be asking yourself, what’s next? R? Python? Graph Databases? The latest data analytics technology that was launched last week?

How do you craft an effective digital strategy from these technologies? How do you build the data transformation roadmap to give your organization a competitive advantage? How will you digitally transform your organization to give the best customer experience?

In this course, we will explore three case studies to learn the practical tools and methods used to build a digital organization. The first course gave you the theory of the dynamic capabilities, fitness landscapes, and strategic foresight framework to transform an organization. Now, we will put those theories to use in three types of organizations.

The first organizational type is a new startup. You will learn how to build a digital organization from the ground up using the lean startup methodology.

The second organizational type is an established organization. This type of organization has developed processes and deep-rooted culture. The challenge is to help the organization digitally transform while retaining the best aspects of the organization.

The third organizational type is the organization that turns to digital transformation to help save it. This may be the most challenging digital transformation effort because you need to regain customer trust under a tight deadline while your competitors are eager to capture your customers.

For all three digital transformations, we will use Disciplined Agile Delivery to plan and execute the organizational change programs. "Disciplined Agile Delivery (DAD) is a people-first, learning-oriented hybrid agile approach to IT solution delivery. It has a risk-value delivery lifecycle, is goal-driven, is enterprise aware, and is scalable." DAD is ideal for digital transformation projects.

Syllabus

Week One - Disciplined Agile Delivery

  • Module One - What is Disciplined Agile Delivery?
  • Module Two - The Disciplined Agile Principles, Promises, and Guidelines
  • Module Three - The Disciplined Agile Tool Kit
  • Module Four - The Disciplined Agile Lifecycles
  • Module Five - The Disciplined Agile Team

Week Two - Case Study: The New Start-Up

  • Module One - Introducing the Case Study
  • Module Two - Finding Your Organization's Dynamic Capabilities
  • Module Three - Mapping the Fitness Landscape
  • Module Four - Building the Organization's Digital Business Model
  • Module Five - Creating the Portfolio of Data Analytics Projects

Week Three - Case Study: The Established Organization

  • Module One - Introducing the Case Study
  • Module Two - Finding Your Organization's Dynamic Capabilities
  • Module Three - Mapping the Fitness Landscape
  • Module Four - Building the Organization's Digital Business Model
  • Module Five - Creating the Portfolio of Data Analytics Projects

Week Four - Case Study: The Threatened Organization

  • Module One - Introducing the Case Study
  • Module Two - Finding Your Organization's Dynamic Capabilities
  • Module Three - Mapping the Fitness Landscape
  • Module Four - Building the Organization's Digital Business Model
  • Module Five - Creating the Portfolio of Data Analytics Projects

Taught by

Bill Brantley

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Reviews

5.0 rating, based on 1 reviews

Start your review of Effecting Digital Transformation with Data Analytics Projects

  • Anonymous
    This is one of the best course related to Digital Transformation. It explains clearly about the need for the different data analytics projects to enhance the dynamic capabilities to compete well in the competition. The application of the Disciplined Agile Framework to create the digital capabilities is excellent.

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