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Daniel Trabucchi and Tommaso Buganza

(Digital) data are often considered the new oil. Companies often exploit them building platforms, involving different sets of users that generate data – for example, enjoying a digital service through a mobile app – and other organizations that see value in those data and wish to leverage them. This module of the “Platform Thinking” series aims to assess the role of data in digital platforms. We are talking about companies – like social networks – that exploit data to offer personalized advertising or personalized experiences – in services like Netflix or Spotify – but even companies that offer data to external partners for other purposes, like fitness apps that share data with pharmaceutical companies or other health companies. This is a widely intriguing but also a slippery topic, given the amount of data-related scandals we lived over the last few years. Therefore, this course aims to assess the strategies and tactics to exploit data through platforms, highlighting the opportunities and challenges of creating and managing data-driven opportunities. In doing so, we will consider the ethical and policy implications – and related opportunities – to have a transparent and trustable relationship with the end-users. Finally, we will position the data within the platform thinking process.

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What's inside

Syllabus

Week 1 - Introduction to the course
Week 2 - Strategies to exploit data
Week 3 - Generating platforms through data
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Week 4 - Implications of data exploitation

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Examines the opportunities and risks of data exploitation, which is a valuable topic in today's data-driven world
Provides insights into the ethical and policy implications of data exploitation, helping learners navigate these crucial aspects responsible data management
Taught by experts, Daniel Trabucchi and Tommaso Buganza, who contribute their knowledge of platform thinking and data exploitation
Relevant for professionals seeking to leverage data in digital platforms and contribute to the development of data-driven businesses
Suitable for those interested in exploring the role of data in driving personalized experiences, such as in social media and streaming services
Requires a basic understanding of data analysis and platform concepts

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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 Platform Thinking: exploiting data through platforms with these activities:
Refresh general data science concepts
Learn or strengthen the core principles underpinning this course by going over the foundational concepts of data science.
Show steps
  • Review: Data types and structures
  • Review: Data analysis techniques
  • Review: Data visualization techniques
Practice data analysis in Python
Sharpen your Python data analysis skills through practical exercises.
Show steps
  • Complete 5 practice exercises
  • Review solutions and identify areas for improvement
Read 'Data and Goliath: The Hidden Battles to Collect Your Data and Control Your World'
Gain insights into the ethical and societal implications of data exploitation by reading a book from an expert in the field.
Show steps
  • Read Part 1 of the book
  • Read Part 2 of the book
  • Take notes on key concepts
Three other activities
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Show all six activities
Participate in a data science study group
Engage in discussions with peers, exchange knowledge, and gain diverse perspectives on data science concepts.
Show steps
  • Join or form a data science study group
  • Participate in weekly or bi-weekly meetings
  • Share knowledge and collaborate on projects
Follow a tutorial on data security and privacy
Enhance your understanding of the critical aspects of data security and privacy by following a guided tutorial.
Browse courses on Data Security
Show steps
  • Identify a reputable tutorial
  • Complete the tutorial
  • Apply the concepts in a practical scenario
Create a data visualization dashboard
Develop your data storytelling skills by creating a data visualization dashboard that effectively communicates insights from a given dataset.
Browse courses on Data Storytelling
Show steps
  • Identify a dataset and explore the data
  • Design the dashboard layout
  • Create visualizations and populate the dashboard
  • Write a brief report summarizing insights

Career center

Learners who complete Platform Thinking: exploiting data through platforms will develop knowledge and skills that may be useful to these careers:
Data Scientist
Data Scientists use their knowledge of mathematics, statistics, and computer science to extract insights from data. This course will help you pivot into this role, as it will teach you about the different aspects of data exploitation through platforms. You will learn about data mining, machine learning, and data visualization. This course will also teach you about the ethical and policy implications of data exploitation, which is an important consideration for Data Scientists who want to ensure that they are using data responsibly.
Data Analyst
Data Analysts collect, clean, and analyze data to identify trends and patterns that can help businesses make better decisions. This course will help you pivot into this role by teaching you how to exploit data through platforms. You will learn about different strategies and tactics for using data to create value for businesses. This course will also teach you about the ethical and policy implications of data exploitation, which is an important consideration for Data Analysts who want to ensure that they are using data responsibly.
Statistician
Statisticians collect, analyze, and interpret data to help businesses make better decisions. This course will help you pivot into this role by teaching you about the different aspects of data exploitation through platforms. You will learn about probability, statistics, and data analysis. You will also learn about the ethical and policy implications of data exploitation, which is an important consideration for Statisticians who want to ensure that they are using data responsibly.
Data Engineer
Data Engineers design, build, and maintain the systems that store and process data for businesses. This course will help you pivot into this role, as it will teach you about the different aspects of data exploitation through platforms. You will learn about data storage, data processing, and data security. This course will also teach you about the ethical and policy implications of data exploitation, which is an important consideration for Data Engineers who want to ensure that they are using data responsibly.
Software Engineer
Software Engineers design, develop, and maintain software applications. This course will help you pivot into this role by teaching you about the different aspects of data exploitation through platforms. You will learn about data structures, algorithms, and software design. You will also learn about the ethical and policy implications of data exploitation, which is an important consideration for Software Engineers who want to ensure that they are developing software that is safe and secure.
Data Architect
Data Architects design and build the data infrastructure that supports a business's data needs. This course will help you pivot into this role by teaching you about the different aspects of data exploitation through platforms. You will learn about data modeling, data integration, and data governance. You will also learn about the ethical and policy implications of data exploitation, which is an important consideration for Data Architects who want to ensure that they are building data infrastructure that is secure and scalable.
Privacy Lawyer
Privacy Lawyers advise clients on data privacy and security laws and regulations. This course will help you pivot into this role by teaching you about the different aspects of data exploitation through platforms. You will learn about data privacy regulations, data security best practices, and data ethics. You will also learn about the ethical and policy implications of data exploitation, which is an important consideration for Privacy Lawyers who want to ensure that they are protecting the privacy and security of data.
Data Governance Analyst
Data Governance Analysts develop and implement policies and procedures to ensure that data is used in a consistent and ethical manner. This course will help you pivot into this role by teaching you about the different aspects of data exploitation through platforms. You will learn about data governance frameworks, data privacy regulations, and data security best practices. You will also learn about the ethical and policy implications of data exploitation, which is an important consideration for Data Governance Analysts who want to ensure that they are protecting the privacy and security of data.
Data Privacy Analyst
Data Privacy Analysts develop and implement policies and procedures to ensure that data is collected, used, and stored in a compliant manner. This course will help you pivot into this role by teaching you about the different aspects of data exploitation through platforms. You will learn about data privacy regulations, data security best practices, and data ethics. You will also learn about the ethical and policy implications of data exploitation, which is an important consideration for Data Privacy Analysts who want to ensure that they are protecting the privacy and security of data.
Business Analyst
Business Analysts use their knowledge of business processes and IT systems to improve a company's efficiency and productivity. The skills learned in this course will allow you to pivot into this role, as businesses that want to use data effectively need Business Analysts who can understand the different ways to collect, manage, and analyze data. This course will benefit you by teaching you how to develop strategies to exploit data, how to create platforms using data, and the implications of data exploitation. These are skills that are highly sought after by businesses in various sectors. With a strong understanding of data and platform thinking, you will be able to help businesses make better decisions that can lead to improved performance.
Information Security Analyst
Information Security Analysts protect computer systems and networks from unauthorized access, use, disclosure, disruption, modification, or destruction. This course will help you pivot into this role by teaching you about the different aspects of data exploitation through platforms. You will learn about information security threats and vulnerabilities, risk assessment, and incident response. You will also learn about the ethical and policy implications of data exploitation, which is an important consideration for Information Security Analysts who want to ensure that they are protecting the confidentiality and integrity of data.
Product Manager
Product Managers are responsible for the development and launch of new products. This course will help you pivot into this role, as it will teach you about the different aspects of data exploitation through platforms. You will learn about user research, product design, and product development. You will also learn about the ethical and policy implications of data exploitation, which is an important consideration for Product Managers who want to ensure that they are developing products that are safe and beneficial for users.
UX Researcher
UX Researchers conduct research to improve the user experience of products and services. This course will help you pivot into this role by teaching you about the different aspects of data exploitation through platforms. You will learn about user research methods, data analysis, and data visualization. You will also learn about the ethical and policy implications of data exploitation, which is an important consideration for UX Researchers who want to ensure that they are using data responsibly.
Data Protection Officer
Data Protection Officers oversee the implementation of data protection policies and procedures within an organization. This course will help you pivot into this role by teaching you about the different aspects of data exploitation through platforms. You will learn about data protection regulations, data security best practices, and data ethics. You will also learn about the ethical and policy implications of data exploitation, which is an important consideration for Data Protection Officers who want to ensure that they are protecting the privacy and security of data.
Market Researcher
Market Researchers conduct research to understand consumer behavior and market trends. This course will help you pivot into this role, as it will teach you about the different aspects of data exploitation through platforms. You will learn about data collection, data analysis, and data interpretation. You will also learn about different market research methodologies. This course may be particularly helpful for Market Researchers who want to learn more about using online platforms to collect and analyze data.

Reading list

We've selected ten 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 Platform Thinking: exploiting data through platforms.
Provides a comprehensive overview of platform businesses, including their strategies and tactics for exploiting data. It valuable resource for anyone interested in learning more about this topic.
Provides a practical guide to using analytics to compete more effectively. It valuable resource for anyone interested in learning how to use data to improve their business.
Provides a comprehensive overview of deep learning. It valuable resource for anyone interested in learning more about this topic.
Provides a theoretical framework for understanding why large companies often fail to innovate. It valuable resource for anyone interested in learning more about the challenges of innovation.
Provides a practical guide to using data science to solve business problems. It valuable resource for anyone interested in learning how to use data to improve their business.
Provides a practical introduction to data visualization. It valuable resource for anyone interested in learning how to use data to create effective visualizations.
Provides a practical guide to using the lean startup methodology to build successful businesses. It valuable resource for anyone interested in learning how to use data to make better decisions.
Provides a basic introduction to data management. It valuable resource for anyone new to this topic.

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