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Claudia Werker, Marijn Janssen, and Scott Cunningham

While big data infiltrates all walks of life, most firms have not changed sufficiently to meet the challenges that come with it. In this course, you will learn how to develop a big data strategy, transform your business model and your organization.

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While big data infiltrates all walks of life, most firms have not changed sufficiently to meet the challenges that come with it. In this course, you will learn how to develop a big data strategy, transform your business model and your organization.

This course will enable professionals to take their organization and their own career to the next level, regardless of their background and position.

Professionals will learn how to be in charge of big data instead of being subject to it. In particular, they will become familiar with tools to:

  • assess their current situation regarding potential big data-induced changes of a disruptive nature,
  • identify their options for successfully integrating big data in their strategy, business model and organization, or if not possible, how to exit quickly with as little loss as possible, and
  • strengthen their own position and that of their organization in our digitalized knowledge economy

The course will build on the concepts of product life cycles, the business model canvas, organizational theory and digitalized management jobs (such as Chief Digital Officer or Chief Informatics Officer) to help you find the best way to deal with and benefit from big data induced changes.

During the course, your most pressing questions will be answered in our feedback videos with the lecturer. In the assignments of the course, you will choose a sector and a stakeholder. For this, you will develop your own strategy and business model. This will help you identify the appropriate organizational structure and potential contributions and positions for yourself.

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What's inside

Learning objectives

  • Identify the stakeholders and characteristics of your sector in the era of big data
  • Identify potential big data induced changes in strategy, business model, organization and job descriptions
  • Substantially change existing strategy, business model, organization or adopt new ones as required
  • Find and develop strategically important tasks for yourself in your organization

Syllabus

Week 1:
1. Challenges and Opportunities of big data
1.1 Big data in the digitalized knowledge economy
1.2 Are firms ready for big data?
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1.3 The machine learning revolution
Week 2:
2. Stakeholders and Sectors
2.1 Stakeholders: Private or public goals
2.2 Sectors: Disruptive or incremental changes induced by big data
2.3 Assignment Part A
Week 3:
3. Big data upending strategy and innovation
3.1 Conventional wisdom on strategy and innovation
3.2 Wisdom considering the disruptive power of big data
3.3 Assignment Part B
Week 4:
4. Transforming building blocks of the business model canvas
4.1 What does big data mean for the different building blocks of the business model canvas?
4.2 Examples
4.3 Assignment Part C
Week 5:
5. Transforming the organization: CIO, CDO or CEO in the lead?
5.1 What does big data mean for the organization of your company?
5.2 Who leads the way?
5.3 Examples
5.4 Assignment Part D
Week 6:
6. Wrapping up
6.1 Ready for big data
6.2 Feedback

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Examines how big data impacts various industries and their strategies
Explores big data's potential for business model innovation
Guides learners in developing data-driven strategies for their organizations
Provides strategies for individuals to enhance their position within data-driven organizations
Taught by experienced instructors with expertise in big data and organizational transformation
Requires no prior knowledge of big data, making it accessible to learners from diverse backgrounds

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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 Big Data Strategies to Transform Your Business with these activities:
Review Business Model Canvas Fundamentals
Refresh your understanding of the Business Model Canvas framework to enhance your big data strategy development.
Browse courses on Business Model Canvas
Show steps
  • Read articles or watch videos on Business Model Canvas
  • Complete online tutorials or exercises on Business Model Canvas
Review 'Big Data Analytics' by Michael Minelli
Develop a foundational understanding of big data analytics concepts and techniques.
Show steps
  • Read Chapter 1: Introduction to Big Data
  • Read Chapter 2: Big Data Technologies
  • Read Chapter 3: Big Data Applications
  • Summarize key concepts and frameworks
Explore the Hadoop Ecosystem
Gain familiarity with Hadoop components and how they work together to process big data.
Browse courses on Hadoop
Show steps
  • Watch the Hadoop Tutorial for Beginners
  • Install and configure Hadoop on your local machine
  • Run a Hadoop job
Five other activities
Expand to see all activities and additional details
Show all eight activities
Data Analysis and Visualization with Python
Practice data analysis and visualization skills using Python libraries like Pandas, NumPy, and Matplotlib.
Browse courses on Data Analysis
Show steps
  • Complete the Python Data Analysis Tutorial
  • Complete the Python Data Visualization Tutorial
  • Analyze and visualize a dataset
Blog Post on Big Data Trends
Develop a deeper understanding of big data trends and showcase your knowledge.
Browse courses on Big Data
Show steps
  • Research current big data trends
  • Write a blog post outlining the trends
  • Publish the blog post
Attend Big Data Meetup
Connect with industry professionals and learn about the latest advancements in big data.
Browse courses on Big Data
Show steps
  • Find a local Big Data Meetup group
  • Attend a Meetup
  • Network with other attendees
Contribute to a Big Data Open Source Project
Gain practical experience in big data technologies by contributing to open source projects.
Browse courses on Big Data
Show steps
  • Identify a Big Data open source project
  • Contribute to the project
  • Review the project's documentation
Develop a Big Data Strategy for a Small Business
Demonstrate your understanding of developing a big data strategy for a business.
Browse courses on Big Data
Show steps
  • Interview key stakeholders
  • Identify business challenges and opportunities
  • Develop a big data strategy

Career center

Learners who complete Big Data Strategies to Transform Your Business will develop knowledge and skills that may be useful to these careers:
Big Data Engineer
Big Data Engineers build and maintain the infrastructure and tools necessary to process and analyze large datasets. This course provides Big Data Engineers with the technical expertise to design, implement, and manage big data systems. They will gain hands-on experience with big data technologies and tools, enabling them to develop innovative solutions that unlock the value of big data.
Chief Digital Officer
Chief Digital Officers lead the digital transformation of organizations, driving innovation and leveraging technology to create new business opportunities. This course provides CDOs with the strategic insights and practical tools to develop and implement big data strategies. By understanding the potential disruptions and opportunities presented by big data, CDOs can position their organizations for success in the digital age.
Digital Transformation Manager
Digital Transformation Managers lead the digital transformation of organizations, driving innovation and leveraging technology to create new business models. This course provides Digital Transformation Managers with the knowledge and skills to develop and implement effective big data strategies. By understanding the potential disruptions and opportunities presented by big data, Digital Transformation Managers can position their organizations for success in the digital age.
Chief Data Officer
Chief Data Officers oversee the management and utilization of data within organizations, ensuring its quality, security, and alignment with business objectives. This course empowers CDOs to develop a comprehensive big data strategy that maximizes the value of data assets. They will learn to identify opportunities for data-driven decision-making, implement data governance frameworks, and build a data-centric culture within the organization.
Data Scientist
Data Scientists model and analyze large datasets to extract meaningful insights. They play a critical role in businesses leveraging big data to drive decision-making and innovation. This course provides a comprehensive understanding of big data strategies, enabling Data Scientists to develop effective data-driven solutions. By mastering the concepts of product life cycles, business model canvas, and organizational theory, Data Scientists can ensure their strategies align with business goals and drive organizational transformation.
Data Analytics Manager
Data Analytics Managers lead teams that collect, analyze, and interpret data to support decision-making and improve business outcomes. This course provides Data Analytics Managers with the strategic and technical skills to develop and execute data analytics initiatives. They will learn to manage data analytics projects, build high-performing teams, and communicate insights to stakeholders.
Data Architect
Data Architects design and manage data systems and infrastructure to meet the evolving needs of organizations. This course provides Data Architects with the knowledge and skills to develop scalable, reliable, and secure big data architectures. They will learn to leverage big data technologies to create data-driven solutions that support business growth and innovation.
Business Analyst
Business Analysts bridge the gap between business and technology, helping organizations optimize processes and make informed decisions. This course equips Business Analysts with the knowledge and skills to assess current business models and identify opportunities for big data integration. They will learn to develop innovative strategies that leverage big data to improve efficiency, enhance customer experiences, and gain a competitive advantage.
Business Intelligence Analyst
Business Intelligence Analysts use data to provide insights that help businesses make better decisions. They collect, analyze, and interpret data from a variety of sources to identify trends, patterns, and opportunities. This course provides Business Intelligence Analysts with the knowledge and skills to leverage big data technologies to gain a deeper understanding of customer behavior, market trends, and competitive landscapes. They will learn to use data visualization tools to communicate their findings effectively and support data-driven decision-making.
Data Governance Officer
Data Governance Officers ensure the consistent and ethical use of data across organizations. This course provides Data Governance Officers with the knowledge and skills to develop and implement data governance frameworks. They will learn to establish data policies, manage data risks, and promote data literacy throughout the organization.
Data Privacy Officer
Data Privacy Officers protect the privacy and security of personal data in accordance with regulatory requirements. This course provides Data Privacy Officers with the knowledge and skills to develop and implement data privacy programs. They will learn to assess privacy risks, manage data breaches, and ensure compliance with privacy laws and regulations.
Management Consultant
Management Consultants advise organizations on strategic planning, operational improvement, and technology adoption. This course provides Management Consultants with the knowledge and tools to help clients develop and implement effective big data strategies. By understanding the challenges and opportunities presented by big data, Management Consultants can guide organizations towards data-driven decision-making and competitive advantage.
Product Manager
Product Managers are responsible for the development and launch of new products or features. This course provides Product Managers with the knowledge and skills to develop data-driven products that meet the needs of users. They will learn to leverage big data insights to identify market opportunities, prioritize product features, and track product performance.
Venture Capitalist
Venture Capitalists invest in early-stage companies with high growth potential. This course provides Venture Capitalists with the knowledge and skills to evaluate big data startups. They will learn to assess the market potential of big data solutions, identify promising investment opportunities, and support portfolio companies in their growth journey.

Reading list

We've selected 12 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 Big Data Strategies to Transform Your Business.
Provides a detailed overview of statistical learning, including supervised learning, unsupervised learning, and model selection. It good resource for those who want to learn more about the technical aspects of big data.
Provides a detailed overview of deep learning, including convolutional neural networks, recurrent neural networks, and generative adversarial networks. It good resource for those who want to learn more about the technical aspects of big data.
Provides a detailed overview of pattern recognition and machine learning, including supervised learning, unsupervised learning, and reinforcement learning. It good resource for those who want to learn more about the technical aspects of big data.
Provides a detailed overview of reinforcement learning, including Markov decision processes, dynamic programming, and Monte Carlo methods. It good resource for those who want to learn more about the technical aspects of big data.
Provides a detailed overview of information theory, inference, and learning algorithms. It good resource for those who want to learn more about the theoretical foundations of big data.
Discusses the history of machine learning and the potential impact of artificial intelligence on society. It good resource for those who want to learn more about the broader implications of big data.
Provides a comprehensive overview of big data analytics, from strategic planning to enterprise integration. It good resource for those who want to learn more about the business side of big data.
Provides a practical guide to using data science to drive business outcomes. It good resource for those who want to learn more about how to use big data to make better decisions.
Gives an overview of the history of big data, discusses the different ways in which big data is used, and examines the challenges and opportunities presented by big data.
Covers the basics of data science, including data mining, data-analytic thinking, and machine learning. It good resource for those who want to learn more about the technical aspects of big data.
Discusses the use of predictive analytics in various fields, including marketing, finance, and healthcare. It good resource for those who want to learn more about the practical applications of big data.

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