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Bill Brantley

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

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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.

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What's inside

Learning objectives

  • Using the disciplined agile delivery framework to manage data analytics projects
  • Case study: the new start-up: building a digital organization from the ground-up
  • Case study: the established organization: transforming existing business processes into digital processes
  • Case study: the threatened organization: using data analytics projects to rescue an organization through digital transformation.
  • Managing a portfolio of data analytics projects

Syllabus

Week One - Disciplined Agile Delivery
Module One - What is Disciplined Agile Delivery?
Module Two - The Disciplined Agile Principles, Promises, and Guidelines
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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
Week Four - Case Study: The Threatened Organization

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Tailored for business leaders who seek strategic insights into digital transformation and its impact on organizations
Taught by Bill Brantley, who is recognized for his expertise in data analytics and digital transformation
Emphasizes the practical application of digital technologies, with case studies across a variety of organizational contexts
Provides a structured approach to digital transformation using the Disciplined Agile Delivery framework
Focuses on developing a strategic roadmap for digital transformation, including a portfolio of data analytics projects

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Reviews summary

Outstanding digital transformation course

Learners overwhelmingly say that this course is excellent and provides a clear explanation of digital transformation. In particular, students highly recommend the lessons on the Disciplined Agile Framework and the related projects.
Explanations are easy to understand.
"This course explains clearly about the need for the different data analytics projects."
Projects are highly recommended by learners.
"The application of the Disciplined Agile Framework to create the digital capabilities is excellent."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Effecting Digital Transformation with Data Analytics Projects with these activities:
Join a study group for data analytics
Encourages collaboration, discussion, and support among peers.
Show steps
  • Find or form a study group with other students or professionals in the field.
  • Schedule regular meetings to discuss course materials, case studies, and projects.
  • Work together on assignments or group projects to enhance teamwork.
Volunteer for data analytics projects
Offers practical experience and the opportunity to make a contribution to society.
Browse courses on Volunteering
Show steps
  • Identify organizations or non-profits that are seeking volunteers with data analytics skills.
  • Contact the organization and inquire about volunteer opportunities.
  • Assist with data collection, analysis, or visualization projects.
Attend industry conferences and meetups
Provides opportunities to connect with professionals and learn about industry trends.
Browse courses on Networking
Show steps
  • Research upcoming industry conferences and meetups related to data analytics.
  • Register for events and prepare to engage with other attendees.
  • Attend sessions, ask questions, and exchange contact information.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Solve data analytics coding challenges
Helps develop problem-solving skills and coding proficiency in data analytics.
Browse courses on Data Analytics
Show steps
  • Sign up for a coding challenge platform like LeetCode or HackerRank.
  • Start with easy challenges and gradually increase the difficulty.
  • Join a study group or online forum to discuss solutions.
Study Big Data: Principles and Best Practices of Scalable Realtime Data Systems
Provides a comprehensive overview of big data principles and best practices.
Show steps
  • Read Chapters 1-3 to understand the fundamentals of big data.
  • Complete the exercises in Chapter 4 to practice working with big data tools.
  • Attend a workshop on big data to reinforce your understanding.
Follow tutorials on advanced data analytics techniques
Provides structured guidance on implementing advanced data analytics techniques.
Browse courses on Data Analytics
Show steps
  • Identify a topic you want to learn more about, such as machine learning or deep learning.
  • Find a reputable online course or tutorial series on the topic.
  • Follow the tutorials step-by-step and complete the exercises.
Participate in data analytics workshops
Provides immersive and interactive learning experiences on specific data analytics topics.
Browse courses on Data Analytics
Show steps
  • Identify workshops that align with your learning goals and skill level.
  • Register for workshops and prepare by reviewing the materials.
  • Actively participate in hands-on exercises and discussions.
Build a data analytics dashboard
Provides hands-on experience with designing and building a data analytics dashboard.
Browse courses on Data Analytics
Show steps
  • Identify the key metrics and data sources for your dashboard.
  • Select a data visualization tool and create charts and graphs.
  • Design the layout of your dashboard and export it for sharing.
Participate in data analytics competitions
Provides a challenging and rewarding way to test skills and gain recognition.
Browse courses on Data Analytics
Show steps
  • Identify data analytics competitions or hackathons that align with your interests.
  • Form a team or work individually to solve a problem or develop a solution.
  • Present your findings to a panel of judges or submit a written report.

Career center

Learners who complete Effecting Digital Transformation with Data Analytics Projects will develop knowledge and skills that may be useful to these careers:
Data Scientist
Data Scientists use data to build models and make predictions. They work with large datasets to identify patterns and trends. This course can help you develop the skills needed to become a Data Scientist, including machine learning, data mining, and statistical modeling.
Data Analyst
Data Analysts use data to solve business problems. They collect, clean, and analyze data to identify trends and patterns. This course can help you develop the skills needed to become a Data Analyst, including data analysis, data visualization, and machine learning.
Machine Learning Engineer
Machine Learning Engineers develop and deploy machine learning models. They work with data scientists to identify the right models to use and then build and deploy those models. This course can help you develop the skills needed to become a Machine Learning Engineer, including machine learning, data engineering, and cloud computing.
Business Analyst
Business Analysts help businesses understand their data and make better decisions. They work with stakeholders to identify business needs and then develop solutions to meet those needs. This course can help you develop the skills needed to become a Business Analyst, including data analysis, business process modeling, and stakeholder management.
IT Consultant
IT Consultants help businesses with their IT needs. They work with businesses to identify their IT challenges and then develop and implement solutions to meet those challenges. This course can help you develop the skills needed to become an IT Consultant, including business analysis, IT strategy, and project management.
Web Developer
Web Developers design and develop websites. They work with businesses to identify their website needs and then develop and implement solutions to meet those needs. This course can help you develop the skills needed to become a Web Developer, including web development, HTML, and CSS.
Product Manager
Product Managers are responsible for the development and launch of new products. They work with engineers, designers, and marketers to bring products to market. This course can help you develop the skills needed to become a Product Manager, including product strategy, market research, and customer development.
Data Engineer
Data Engineers build and maintain data pipelines. They work with businesses to identify their data needs and then develop and implement solutions to meet those needs. This course can help you develop the skills needed to become a Data Engineer, including data engineering, Hadoop, and Spark.
DevOps Engineer
DevOps Engineers work to bridge the gap between development and operations teams. They work to ensure that software is developed and deployed quickly and efficiently. This course can help you develop the skills needed to become a DevOps Engineer, including DevOps, Agile, and continuous integration.
Cloud Engineer
Cloud Engineers design and build cloud-based systems. They work with businesses to identify their cloud needs and then develop and implement solutions to meet those needs. This course can help you develop the skills needed to become a Cloud Engineer, including cloud computing, AWS, and Azure.
Project Manager
Project Managers are responsible for planning and executing projects. They work with stakeholders to define project goals and then develop and implement plans to achieve those goals. This course can help you develop the skills needed to become a Project Manager, including project planning, risk management, and stakeholder management.
Salesforce Developer
Salesforce Developers develop and customize Salesforce applications. They work with businesses to identify their needs and then develop and implement solutions to meet those needs. This course can help you develop the skills needed to become a Salesforce Developer, including Salesforce development, Apex, and Visualforce.
Data Architect
Data Architects design and build data systems. They work with businesses to identify their data needs and then develop and implement solutions to meet those needs. This course can help you develop the skills needed to become a Data Architect, including data modeling, data warehousing, and big data.
Software Engineer
Software Engineers design, develop, and maintain software applications. They work with businesses to identify their software needs and then develop and implement solutions to meet those needs. This course can help you develop the skills needed to become a Software Engineer, including software development, programming languages, and software testing.
Database Administrator
Database Administrators manage and maintain databases. They work with businesses to ensure that their databases are running smoothly and that their data is secure. This course can help you develop the skills needed to become a Database Administrator, including database management, SQL, and data security.

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Effecting Digital Transformation with Data Analytics Projects.
This comprehensive guide dives into Disciplined Agile Delivery (DAD), a proven framework for delivering IT solutions effectively. It's an excellent resource for understanding the principles, tools, and lifecycles of DAD and applying them to real-world projects.
Provides a roadmap for business leaders navigating digital transformation. It covers the challenges, opportunities, and strategies for leveraging data analytics in the context of digital transformation, complementing the course's focus on practical applications.
This bestselling book has revolutionized the startup world. It promotes the concept of building, measuring, and learning through iterative cycles, providing a solid foundation for understanding the lean startup methodology discussed in the first case study.
Offers a structured approach to rescuing failing businesses. It provides invaluable insights into the challenges and strategies for the third case study on using data analytics projects to save an organization during a crisis.
This comprehensive book provides an in-depth understanding of cloud computing concepts, technologies, and architectures. It's a valuable reference for learners who wish to enhance their knowledge of the cloud computing landscape.
This acclaimed book introduces the Lean Analytics methodology, which combines data analytics with lean principles. It's particularly valuable for the first case study on building a digital organization from the ground up, providing practical insights on data-driven decision-making in startups.
Dives into the world of graph databases, explaining their concepts, benefits, and use cases. It's a valuable resource for learners who wish to explore the potential of graph databases for managing interconnected data.
Offers a hands-on approach to big data analytics, covering essential concepts, tools, and techniques. It's suitable for learners who seek practical experience in working with big data technologies.
Explores the field of predictive analytics, showcasing its applications in various domains. It's a valuable resource for learners interested in gaining insights into the predictive power of data.
Provides a practical introduction to the Internet of Things (IoT), covering key concepts, technologies, and applications. It's recommended for learners who want to understand the potential and challenges of IoT in the digital era.
This practical guide focuses on acquiring customers for startups. It provides actionable strategies and case studies on how to get traction, complementing the course's emphasis on building and executing a digital strategy.

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