Knowledge Management and Big Data
Master the integration of knowledge management, big data, and cloud computing to drive business value in the digital era.
Master the integration of knowledge management, big data, and cloud computing to drive business value in the digital era.
This comprehensive course explores how knowledge management and big data analytics are transforming business in the digital age. Students learn about knowledge capture, organization, and creation in business contexts, from enterprise to personal levels. The curriculum covers big data analytics, cloud computing applications, and their impact on business models. Through practical case studies and industry examples from the Knowledge Management and Innovation Research Center, participants learn to leverage data and knowledge for business innovation. The course emphasizes both technical understanding and practical application without requiring prior technical expertise.
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What you'll learn
Create business value through effective knowledge management
Implement techniques for knowledge capture and organization
Analyze large datasets using modern analytics tools
Leverage cloud services for new business models
Apply social media technologies for business innovation
Develop data-driven business strategies
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, Exams
Access on Mobile, Tablet, Desktop
Limited Access access
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There are 6 modules in this course
This course provides a comprehensive understanding of knowledge management and big data in the modern business environment. Students learn to navigate the digital transformation through practical applications of knowledge management principles, data analytics, and cloud computing. The curriculum combines theoretical frameworks with real-world case studies, preparing participants to create value through knowledge and data-driven strategies.
Fundamentals of Knowledge Management
Module 1
Knowledge Capture and Organization
Module 2
Big Data Analytics
Module 3
Cloud Computing and Business Models
Module 4
Social Media and Business Innovation
Module 5
Practical Applications
Module 6
Fee Structure
Instructors
1 Course
Distinguished Knowledge Management Expert and Innovation Leader
Professor Eric Tsui serves as a Professor in the Department of Industrial and Systems Engineering and Associate Director of the Knowledge Management and Innovation Research Centre at The Hong Kong Polytechnic University. After extensive academic research in automated knowledge acquisition and natural language processing, he spent 16 years at Computer Sciences Corporation (CSC), where he served as Chief Research Officer for Asia Pacific and Innovation Manager. His research has been supported by grants from organizations including Arthur Young, Rank Xerox, and the Australian Research Council. He holds B.Sc (Hons.), PhD, and MBA qualifications. His expertise spans knowledge technologies, including search engines, portals, personal knowledge management, and cloud services. As Vice President of the Hong Kong Knowledge Management Society and advisor to various government bodies, he has received numerous accolades including the Global Knowledge Management Leadership Award and the Knowledge Management Excellence Award. His contributions to education include developing MOOCs and receiving multiple teaching innovation awards, while securing over HK$9m in funding for teaching and learning projects.
2 Courses
Distinguished Digital Infrastructure and Knowledge Management Expert
Dr. Klaus Tochtermann serves as Director of the ZBW - Leibniz Information Centre for Economics and Professor of Media Informatics at the University of Kiel. After completing his doctorate in computer science with distinction at Dortmund University in 1995, he conducted postdoctoral research at Texas A&M University's Center for Digital Libraries. His career includes founding Austria's first industry-based research institute on knowledge management (Know-Center) and serving as professor for knowledge management at Graz University of Technology. Since 2010, he has led the ZBW while advancing research in Science 2.0, Open Science, and semantic technologies. His contributions include supervising over 25 PhD theses and publishing more than 230 peer-reviewed papers. He serves on numerous prestigious boards, including the Scientific Senate of the German National Research Data Infrastructure and the EOSC Association Board of Directors. As a visiting professor at institutions like the University of St. Gallen and Universiti Teknologi MARA, he continues to shape digital information infrastructure development internationally.
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