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Ignacio Charfolé and Professor Rafael Ballester-Ripoll

Data is the essential ingredient for digital transformation. This course lays the foundation for turning data into a business asset by exploring how to merge your business and data strategy. Discover how the contemporary data landscape has evolved, investigate common organizational frameworks for data governance, and explore how businesses respond to contemporary data governance challenges.

What's inside

Learning objectives

  • How to define the challenges inherent in a data-driven world and how this impacts businesses.
  • How to outline the need for alignment between an organization’s data strategy and business strategy, and how this drives growth.
  • How to articulate the opportunities and challenges of current data governance frameworks, and the implications of using new data governance models.
  • How to assess whether an organization is using the right approach to data governance for its business context.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Provides a strong foundation for learners new to data management
Develops essential skills for shaping business decisions
Taught by seasoned professors in data science
Provides a comprehensive overview of contemporary data governance
Requires learners to come in with some foundational data management experience

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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 Introduction to Data Strategy, Management, and Governance with these activities:
Review Data Governance Basics
Limits potential confusions by ensuring alignment between your existing working knowledge and the concepts introduced in the course.
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  • Revisit definitions and concepts of data governance.
  • Review different data governance frameworks and models.
  • Consider real-world examples of data governance implementations.
Review your data management fundamentals
Reviewing data management fundamentals, such as data structures and data types, will prime you to understand and perform data analysis more effectively.
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  • Review notes and materials from previous data management courses or tutorials.
  • Look over online resources or textbooks to brush up on key concepts.
  • Practice solving data management problems or exercises.
Review the Basics of Data Management
Revisiting the basics of data management will prepare you to dive into the complexities covered in this course.
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  • Review data models and data types.
  • Practice creating and manipulating data structures.
  • Experiment with different data storage and retrieval techniques.
Ten other activities
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Review 'Data Strategy: How to Profit from a World of Big Data, Analytics and the Internet of Things' by Bernard Marr
Familiarize yourself with essential concepts related to data strategy and its role in driving business growth.
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  • Read Chapters 1-3 to gain an overview of data strategy and its importance.
  • Summarize the key takeaways from the book and reflect on their applicability to your own organization.
Solve data governance quizzes and exercises
Solving data governance quizzes and exercises will reinforce your understanding of key concepts and principles.
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  • Find online quizzes and exercises
  • Test your knowledge and identify areas for improvement
Practice data analysis techniques
Practicing data analysis techniques with plenty of problems will help you enhance your problem-solving abilities and become proficient in applying these techniques.
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  • Find online platforms or textbooks that provide data analysis practice problems.
  • Work through the problems step-by-step, applying the appropriate data analysis methods.
  • Review your solutions and identify areas for improvement.
Follow Tutorials on Data Governance Frameworks
Exploring existing data governance frameworks through guided tutorials will provide you with a foundation for understanding the challenges and opportunities discussed in the course.
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  • Identify reputable sources for data governance tutorials.
  • Select tutorials that align with your specific interests or knowledge gaps.
  • Follow the tutorials step-by-step, taking notes and experimenting with the techniques demonstrated.
  • Document your learnings and reflect on how the frameworks apply to your own organization's data governance needs.
Follow tutorials on data visualization tools
Completing tutorials on data visualization tools will equip you with hands-on experience in transforming data into meaningful and insightful representations.
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  • Choose a data visualization tool
  • Complete online tutorials
  • Apply visualization techniques to real-world datasets
Join a study group or discussion forum
Joining a study group or discussion forum will provide opportunities to discuss course concepts, learn from others, and clarify your understanding.
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  • Find a study group or discussion forum related to data governance.
  • Participate in discussions, ask questions, and share your insights.
  • Review and contribute to group notes or summaries.
Summarize data governance case studies
Summarizing data governance case studies will enhance your understanding of the practical implementation of data governance frameworks and strategies.
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  • Identify relevant case studies
  • Extract key insights and best practices
  • Write a summary outlining the challenges, solutions, and outcomes
Create a data visualization dashboard
Creating a data visualization dashboard will allow you to apply your data analysis skills, improve your storytelling abilities, and gain hands-on experience with data visualization tools.
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  • Choose a dataset that is interesting and relevant to you.
  • Explore the data and identify the key insights you want to communicate.
  • Design and create your dashboard using visualization tools.
  • Present your dashboard to others and explain your findings.
Develop a data governance plan
Creating a data governance plan will provide you with a comprehensive framework for managing and leveraging data as a strategic asset.
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  • Define the scope and objectives
  • Identify stakeholders and responsibilities
  • Develop policies and procedures
  • Implement and monitor the plan
Participate in a Data Management Hackathon
Engaging in a data management hackathon will provide you with practical experience in applying the concepts and techniques learned in the course.
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  • Identify upcoming data management hackathons that align with your interests.
  • Form a team or work individually to develop a data management solution for the hackathon challenge.
  • Use the techniques and concepts covered in the course to guide your approach.
  • Submit your solution and present it to the judges.
  • Reflect on the experience and identify areas for improvement in your data management skills.

Career center

Learners who complete Introduction to Data Strategy, Management, and Governance will develop knowledge and skills that may be useful to these careers:
Chief Data Officer
Chief Data Officers are responsible for overseeing all aspects of an organization's data strategy and governance. By learning about the evolution of the data landscape, common organizational frameworks for data governance, and the challenges of contemporary data governance, learners of Introduction to Data Strategy, Management, and Governance may be better prepared to enter this role.
Data Governance Manager
Data Governance Managers oversee the development and implementation of data governance policies and procedures within an organization. By learning about the evolution of the data landscape, common organizational frameworks for data governance, and the challenges of contemporary data governance, learners of Introduction to Data Strategy, Management, and Governance may be better prepared to enter this role.
Business Intelligence Analyst
Business Intelligence Analysts use data to identify trends and patterns that can help businesses make better decisions. By learning about the evolution of the data landscape, common organizational frameworks for data governance, and the challenges of contemporary data governance, learners of Introduction to Data Strategy, Management, and Governance may be better prepared to enter this role.
Data Analyst
Data Analysts use their business knowledge and analytical skills to translate raw data into actionable insights that benefit a company's decision-making. By learning about the evolution of the data landscape, common organizational frameworks for data governance, and the challenges of contemporary data governance, learners of Introduction to Data Strategy, Management, and Governance may be better prepared to enter this field.
Data Privacy Analyst
Data Privacy Analysts assess and mitigate risks to an organization's data privacy. By learning about the evolution of the data landscape, common organizational frameworks for data governance, and the challenges of contemporary data governance, learners of Introduction to Data Strategy, Management, and Governance may be better prepared to enter this role.
Data Protection Officer
Data Protection Officers are responsible for ensuring that an organization complies with data protection laws and regulations. By learning about the evolution of the data landscape, common organizational frameworks for data governance, and the challenges of contemporary data governance, learners of Introduction to Data Strategy, Management, and Governance may be better prepared to enter this role.
Data Scientist
Data Scientists use mathematical and statistical techniques to uncover patterns and trends in data that can be used to improve a company's products or services. By learning about the evolution of the data landscape, common organizational frameworks for data governance, and the challenges of contemporary data governance, learners of Introduction to Data Strategy, Management, and Governance may be better equipped for this role.
Data Engineer
Data Engineers design, build, and maintain data infrastructure and systems that enable organizations to collect, store, and analyze data. By learning about the evolution of the data landscape, common organizational frameworks for data governance, and the challenges of contemporary data governance, learners of Introduction to Data Strategy, Management, and Governance may be better prepared to enter this role.
Information Architect
Information Architects design and maintain the structure of an organization's information systems to ensure that data is organized, accessible, and useful to users. By learning about the evolution of the data landscape, common organizational frameworks for data governance, and the challenges of contemporary data governance, learners of Introduction to Data Strategy, Management, and Governance may be better equipped for this role.
Data Security Analyst
Data Security Analysts protect an organization's data from unauthorized access, use, disclosure, disruption, modification, or destruction. By learning about the evolution of the data landscape, common organizational frameworks for data governance, and the challenges of contemporary data governance, learners of Introduction to Data Strategy, Management, and Governance may be better prepared to enter this role.
Database Administrator
Database Administrators are responsible for the design, implementation, and maintenance of an organization's databases. By learning about the evolution of the data landscape, common organizational frameworks for data governance, and the challenges of contemporary data governance, learners of Introduction to Data Strategy, Management, and Governance may be better prepared to enter this role.
Data Warehouse Architect
Data Warehouse Architects design and build data warehouses for an organization. By learning about the evolution of the data landscape, common organizational frameworks for data governance, and the challenges of contemporary data governance, learners of Introduction to Data Strategy, Management, and Governance may be better prepared to design and build data warehouses.
IT Architect
IT Architects design and implement IT solutions for an organization. By learning about the evolution of the data landscape, common organizational frameworks for data governance, and the challenges of contemporary data governance, learners of Introduction to Data Strategy, Management, and Governance may be better prepared to design and implement data-related solutions.
IT Project Manager
IT Project Managers are responsible for planning, executing, and delivering IT projects. By learning about the evolution of the data landscape, common organizational frameworks for data governance, and the challenges of contemporary data governance, learners of Introduction to Data Strategy, Management, and Governance may be better prepared to manage data-related projects.
Business Analyst
Business Analysts analyze business processes and identify opportunities for improvement. By learning about the evolution of the data landscape, common organizational frameworks for data governance, and the challenges of contemporary data governance, learners of Introduction to Data Strategy, Management, and Governance may be better prepared to identify opportunities for data-driven improvement.

Reading list

We've selected nine 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 Introduction to Data Strategy, Management, and Governance.
Provides a comprehensive guide to data strategy, covering everything from data collection and analysis to data governance and security. It valuable resource for anyone who wants to learn more about how to turn data into a strategic asset.
Provides a comprehensive guide to data management, covering everything from data architecture and data quality to data security and data governance. It valuable resource for anyone who wants to learn more about how to manage data effectively.
Provides a practical guide to data science for business, covering everything from data mining and data-analytic thinking to data visualization and data communication. It valuable resource for anyone who wants to learn more about how to use data to make better business decisions.
Provides a comprehensive guide to dimensional modeling, a technique for designing data warehouses. It valuable resource for anyone who wants to learn more about how to design and implement effective data warehouses.
Provides a comprehensive guide to data strategy and architecture, covering everything from the basics of data strategy to more advanced topics such as data governance and data security. It valuable resource for anyone who wants to learn more about how to develop and implement effective data strategies.
Provides a comprehensive guide to data quality, covering everything from the basics of data quality to more advanced topics such as data cleansing and data validation. It valuable resource for anyone who wants to learn more about how to improve the quality of their data.
Provides a comprehensive guide to data mining, covering everything from the basics of data mining to more advanced topics such as data clustering and data classification. It valuable resource for anyone who wants to learn more about how to use data mining to extract valuable insights from data.
Provides a comprehensive guide to business intelligence, covering everything from the basics of business intelligence to more advanced topics such as data visualization and data storytelling. It valuable resource for anyone who wants to learn more about how to use business intelligence to improve decision-making in their organization.

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