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Eric Tsui, W.B. Lee, Klaus Tochtermann, Usama Fayyad, and Susanne Durst

The business landscape is changing so rapidly that traditional management, business and computing courses do not meet the needs for the next generation of workers in the business world. Most traditional methods are of a repetitive, rule-based nature and will be gradually replaced by Artificial Intelligence. In the knowledge era, the most value added job will be to manage knowledge, which includes how knowledge is created, mined, processed, shared and reused in different trades and industry. At the same time, the amount of data and information (prerequisites of knowledge) is exploding exponentially. By 2020, IDC projects that the size of the digital universe will reach 40 zetabytes from all sources including, websites, weblog, sensors, and social media. Digitalisation, Cloud Computing, Big data will transform how we live, work and even think in a Networked Economy. These trends and more will have a profound effect on how we see the world and create policies. In this course, the following topics and more are covered:

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The business landscape is changing so rapidly that traditional management, business and computing courses do not meet the needs for the next generation of workers in the business world. Most traditional methods are of a repetitive, rule-based nature and will be gradually replaced by Artificial Intelligence. In the knowledge era, the most value added job will be to manage knowledge, which includes how knowledge is created, mined, processed, shared and reused in different trades and industry. At the same time, the amount of data and information (prerequisites of knowledge) is exploding exponentially. By 2020, IDC projects that the size of the digital universe will reach 40 zetabytes from all sources including, websites, weblog, sensors, and social media. Digitalisation, Cloud Computing, Big data will transform how we live, work and even think in a Networked Economy. These trends and more will have a profound effect on how we see the world and create policies. In this course, the following topics and more are covered:

  • What is knowledge management?
  • How is knowledge captured, elicited, organized and created in business?
  • Managing knowledge at the enterprise, SMBs and personal levels
  • Digitalisation and its impact on the workplace, collaborations and new value creation
  • What is big data and how can we use data analytics from a laymen perspective?
  • What is Open Linked Data and how can it support machine reasoning?
  • How can new knowledge be mined from big data?
  • What are the technical and social problems with big data?

The Cloud as a canvas for service design and business model re-inventionWhat are examples of applications and case studies?

The course is offered by the Knowledge Management and Innovation Research Center (KMIRC) of the Hong Kong Polytechnic University. Most of our research is company and industry based. Capabilities and competencies of the KMIRC are further strengthened by the international alliances it has formed with leading practitioners, many of which are regarded as members of the "Hall of Fame" in knowledge management, and renowned worldwide. The course is suitable for participants with a background in humanities, management, social science, physical science or engineering. No prior technical background is needed.

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What's inside

Learning objectives

  • Understand the role of knowledge management (km) practitioners in creating business value
  • Become familiar with the techniques and tools for capturing, processing, classifying and organizing knowledge
  • How to analyze large quantities of data and information through analytics
  • How to use cloud services to derive new values and business models
  • Understand the role of social media and technologies in innovating new business services
  • Apply the principles you have learnt to company-based business projects

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Defines Knowledge Management and its value creation for business
Taught by distinguished instructors recognized for their work in Knowledge Management and Innovation Research
Covers technical and social aspects of Big Data and analytics, including data mining and open linked data
Explores the latest trends and technologies, such as digitalization, cloud computing, and social media in the context of business and knowledge management
Suitable for participants with diverse backgrounds, from humanities to engineering, without assuming prior technical expertise
Requires students to apply principles to business projects, providing practical experience

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Reviews summary

Engaging big data course

Learners say this course is engaging and offers hands-on exercises. Lessons are well-organized and cover important topics in big data and knowledge management.

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 Knowledge Management and Big Data in Business with these activities:
Review spreadsheet applications
Review the basics of spreadsheets and data manipulation to refresh your memory and ensure you are ready for this course.
Browse courses on Spreadsheets
Show steps
  • Open a spreadsheet application and create a new spreadsheet.
  • Enter data into the spreadsheet, including numbers, text, and formulas.
  • Create a chart or graph to visualize the data.
  • Use spreadsheet functions to perform calculations and analyze the data.
  • Save and share the spreadsheet.
Follow tutorials on open-source data analysis tools
Enhance your practical skills by following tutorials that guide you through the use of open-source data analysis tools, such as Python libraries or cloud-based platforms.
Browse courses on Data Analysis Tools
Show steps
  • Identify relevant tutorials for your skill level.
  • Set aside dedicated time for learning.
  • Follow the tutorial instructions step-by-step.
  • Practice using the tools on your own datasets.
  • Share your learnings with others.
Seek mentorship from experienced professionals
Connect with experts in the field of knowledge management or data analytics to gain insights, guidance, and career advice.
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Show steps
  • Identify potential mentors.
  • Reach out and introduce yourself.
  • Set up a meeting to discuss your goals.
  • Regularly connect with your mentor.
  • Seek feedback and advice.
Five other activities
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Discuss the challenges of big data management
Engage with your peers to discuss the challenges associated with managing large and complex datasets, and explore potential solutions.
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  • Join a peer group or online forum.
  • Introduce a topic for discussion related to big data management challenges.
  • Share your insights and perspectives on the topic.
  • Listen to and learn from the perspectives of others.
  • Summarize the key points and takeaways from the discussion.
Solve data analysis case studies
Apply your knowledge and skills by solving case studies that present real-world data analysis challenges.
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Show steps
  • Identify relevant case studies.
  • Read and understand the case study.
  • Analyze the data and identify key insights.
  • Develop recommendations based on your analysis.
  • Present your findings and recommendations.
Design a knowledge management system for a small business
To apply the concepts of knowledge management and system design, create a plan for a knowledge management system that meets the needs of a small business.
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Show steps
  • Identify the knowledge needs of the business.
  • Research different knowledge management systems.
  • Design the system architecture.
  • Develop the system prototype.
  • Deploy and evaluate the system.
Write a blog post on the ethical implications of data analytics
Demonstrate your understanding of the ethical considerations surrounding data analytics by creating a blog post that explores the potential risks and benefits.
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Show steps
  • Research the ethical implications of data analytics.
  • Identify the key ethical issues.
  • Develop a thesis statement.
  • Write the blog post.
  • Publish and promote the blog post.
Participate in data science competitions
Challenge yourself and test your skills by participating in online data science competitions, such as those hosted on platforms like Kaggle.
Browse courses on Kaggle
Show steps
  • Identify a relevant competition.
  • Download the competition data.
  • Build a model to solve the competition problem.
  • Submit your solution and track your progress.
  • Analyze the results and learn from your experience.

Career center

Learners who complete Knowledge Management and Big Data in Business will develop knowledge and skills that may be useful to these careers:
Data Scientist
Data Scientists are responsible for collecting, analyzing, interpreting, and presenting data to help businesses make informed decisions. This course can help you develop the skills you need to become a successful Data Scientist, such as data mining, statistical analysis, and machine learning. Additionally, the course's focus on big data and cloud computing will give you the knowledge and experience you need to work with the latest technologies in the field.
Knowledge Manager
Knowledge Managers are responsible for creating, managing, and sharing knowledge within an organization. This course can help you develop the skills you need to become a successful Knowledge Manager, such as knowledge capture, organization, and dissemination. Additionally, the course's focus on digitalisation and social media will give you the knowledge and experience you need to work with the latest technologies in the field.
Business Analyst
Business Analysts are responsible for understanding the business needs of an organization and developing solutions to improve efficiency and effectiveness. This course can help you develop the skills you need to become a successful Business Analyst, such as business process analysis, data analysis, and project management. Additionally, the course's focus on big data and cloud computing will give you the knowledge and experience you need to work with the latest technologies in the field.
Information Architect
Information Architects are responsible for designing and organizing the structure and content of websites and other digital products. This course can help you develop the skills you need to become a successful Information Architect, such as information organization, user experience design, and data visualization. Additionally, the course's focus on digitalisation and social media will give you the knowledge and experience you need to work with the latest technologies in the field.
Cloud Architect
Cloud Architects are responsible for designing, implementing, and managing cloud computing solutions. This course can help you develop the skills you need to become a successful Cloud Architect, such as cloud computing concepts, cloud services, and cloud security. Additionally, the course's focus on big data and data analytics will give you the knowledge and experience you need to work with the latest technologies in the field.
Data Engineer
Data Engineers are responsible for designing, building, and maintaining data pipelines and infrastructure. This course can help you develop the skills you need to become a successful Data Engineer, such as data warehousing, data integration, and data quality management. Additionally, the course's focus on big data and cloud computing will give you the knowledge and experience you need to work with the latest technologies in the field.
Software Engineer
Software Engineers are responsible for designing, developing, and maintaining software applications. This course can help you develop the skills you need to become a successful Software Engineer, such as software design, software development, and software testing. Additionally, the course's focus on big data and cloud computing will give you the knowledge and experience you need to work with the latest technologies in the field.
Web Developer
Web Developers are responsible for designing, developing, and maintaining websites. This course can help you develop the skills you need to become a successful Web Developer, such as web design, web development, and web programming. Additionally, the course's focus on digitalisation and social media will give you the knowledge and experience you need to work with the latest technologies in the field.
Database Administrator
Database Administrators are responsible for managing and maintaining databases. This course can help you develop the skills you need to become a successful Database Administrator, such as database design, database administration, and database security. Additionally, the course's focus on big data and cloud computing will give you the knowledge and experience you need to work with the latest technologies in the field.
Information Security Analyst
Information Security Analysts are responsible for protecting an organization's information systems from cyber threats. This course can help you develop the skills you need to become a successful Information Security Analyst, such as information security risk assessment, information security controls, and information security incident response. Additionally, the course's focus on big data and cloud computing will give you the knowledge and experience you need to work with the latest technologies in the field.
Project Manager
Project Managers are responsible for planning, executing, and closing projects. This course can help you develop the skills you need to become a successful Project Manager, such as project planning, project execution, and project closure. Additionally, the course's focus on digitalisation and social media will give you the knowledge and experience you need to work with the latest technologies in the field.
Technical Writer
Technical Writers are responsible for creating and maintaining technical documentation. This course can help you develop the skills you need to become a successful Technical Writer, such as technical writing, technical editing, and technical communication. Additionally, the course's focus on digitalisation and social media will give you the knowledge and experience you need to work with the latest technologies in the field.
Quality Assurance Analyst
Quality Assurance Analysts are responsible for testing and evaluating software applications to ensure they meet quality standards. This course can help you develop the skills you need to become a successful Quality Assurance Analyst, such as software testing, software evaluation, and software quality assurance. Additionally, the course's focus on big data and cloud computing will give you the knowledge and experience you need to work with the latest technologies in the field.
Customer Success Manager
Customer Success Managers are responsible for ensuring that customers are satisfied with their products or services. This course can help you develop the skills you need to become a successful Customer Success Manager, such as customer relationship management, customer support, and customer satisfaction. Additionally, the course's focus on digitalisation and social media will give you the knowledge and experience you need to work with the latest technologies in the field.
Marketing Manager
Marketing Managers are responsible for developing and executing marketing campaigns to promote products or services. This course may be useful for those who want to become Marketing Managers, as it can help you develop skills in marketing strategy, marketing communications, and marketing analytics. Additionally, the course's focus on digitalisation and social media will give you the knowledge and experience you need to work with the latest technologies in the field.

Reading list

We've selected 23 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 Knowledge Management and Big Data in Business.
Provides a comprehensive overview of the field of knowledge management, covering the key concepts, theories, and practices. It valuable resource for students and professionals who are interested in learning more about knowledge management.
Provides a practical guide to using the Lean Startup methodology to create successful businesses. It valuable resource for students and professionals who are interested in learning more about entrepreneurship.
Provides a classic framework for understanding the innovation process. It valuable resource for students and professionals who are interested in learning more about innovation.
Explores various facets of Knowledge Management as a practice - including essential concepts, challenges, and emerging solutions. A solid read for those who want to understand KM from a broader perspective.
This classic work on Knowledge Management provides a foundational understanding of the importance of knowledge in organizations and offers practical guidance on how to harness its potential for innovation and competitive advantage.
Provides a classic framework for understanding how companies can create knowledge and use it to drive innovation. It valuable resource for students and professionals who are interested in learning more about knowledge management.
Provides a classic framework for understanding why large companies often fail to innovate. It valuable resource for students and professionals who are interested in learning more about innovation.
Provides a non-technical introduction to data science for business professionals. It covers the key concepts of data science, the different types of data science projects, and the tools and techniques used to perform data science projects.
Provides a comprehensive overview of social media marketing, covering the key strategies, tactics, and tools. It valuable resource for students and professionals who are interested in learning more about social media marketing.
Provides a comprehensive overview of the cloud computing revolution, covering the key technologies, challenges, and opportunities. It valuable resource for students and professionals who are interested in learning more about cloud computing.
Provides a thought-provoking look at the future of innovation, covering the key trends and challenges. It valuable resource for students and professionals who are interested in learning more about the future of work and the economy.
Provides a practical guide to using the Lean Product Process to create successful products. It valuable resource for students and professionals who are interested in learning more about product development.
For those looking to delve deeper into the technical aspects of Big Data, this book is an excellent resource, with a practical focus on real-time data systems, scalable architectures, and innovative techniques in data engineering.
Offers a thought-provoking exploration of the technological advancements and disruptions that are shaping the Fourth Industrial Revolution and its implications for society, businesses, and individuals.
For those seeking insights into the strategies and challenges of digital transformation, this book provides a practical roadmap, emphasizing the importance of leadership, innovation, and customer-centricity.
Provides a practical guide to data mining. It covers the different types of data mining tasks, the different data mining algorithms, and the different data mining tools and techniques.
For those looking for an accessible introduction to data analytics concepts and techniques, this book provides a clear and practical guide, suitable for beginners and non-technical readers.
Provides a non-technical introduction to machine learning. It covers the key concepts of machine learning, the different types of machine learning algorithms, and the different machine learning applications.
Provides a comprehensive overview of knowledge management and organizational learning. It covers the different types of knowledge, the different knowledge management processes, and the different knowledge management tools and techniques.
Provides a hands-on introduction to data science using Python. It covers the different types of data science tasks, the different data science algorithms, and the different data science tools and techniques.
Provides a probabilistic perspective on machine learning. It covers the different types of machine learning algorithms, the different machine learning models, and the different machine learning applications.
Provides a practical guide to cloud computing for developers and IT professionals. It covers the different types of cloud computing services, the different cloud computing providers, and the different cloud computing tools and techniques.
Provides a guide to business process management for business professionals. It covers the different types of business processes, the different business process management methodologies, and the different business process management tools and techniques.

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