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Learning Digital Business Analysis

Learning Digital Business Analysis

1h 27mIntermediate2018-07-05

Authors

Angela Wick

Angela Wick

Business Analysis and Product Ownership Expert | Content Creator

Course details

More and more organizations are making investments in digital technologies such as artificial intelligence, machine learning, and robotics. These new technologies have sparked changes to business models, business operations, and customer expectations and experiences. This course was designed to help business analysts and project professionals grasp what these changes mean and how to implement them from a business perspective. Angela Wick explores natural language generation, speech recognition, swarm intelligence, blockchain, and other exciting new technologies, laying out how each one can fit into your business processes. Plus, she covers how these innovations can impact traditional business analysis practices and explains how the customer journey is affected by digital and AI projects.

Learning objectives
Identify the intelligent automation and digital landscape involved in digital business analysis.
Determine the fundamentals of robotic process automation (RPA).
Define biometrics.
Explore the essentials of machine and deep learning in project transformation.
Define blockchain.
Determine how requirements are different.
Break down the elements of the experiment and hypothesis phases.
Explore the customer journey and the user experience.

Skills covered

Business AnalysisProject ManagementFoundationsBusiness Analysis and Strategy

Concepts

0. Introduction

  • 01 - Transform your business analyst career
  • 02 - The mindset of a digital BA
  • 03 - Intelligent automation and digital landscape
  • 04 - Transforming into a digital business analyst
  • 05 - Understand the capabilities

1. Transforming Your Projects - Part 1, Human Interaction

  • 06 - Natural language generation
  • 07 - Speech recognition and voice technologies
  • 08 - Chatbots and virtual agents
  • 09 - Robotic process automation

2. Transforming Your Projects - Part 2, Data Tools

  • 10 - Biometrics
  • 11 - Machine and deep learning
  • 12 - Video and image analysis
  • 13 - Swarm intelligence
  • 14 - Blockchain

3. Impact to Requirements and Business Analysis

  • 15 - Linking the capabilities together
  • 16 - How are requirements the same
  • 17 - How are requirements different
  • 18 - Linking to business process
  • 19 - Intelligent automation in agile

4. Technique Highlights

  • 20 - Experiments and hypothesis
  • 21 - Business measurements of success
  • 22 - The customer journey and user experience
  • 23 - Monitoring the results

Conclusion

  • 24 - Next steps

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