Definition of IoT and Big Data concepts – IoT applications using digital technologies have generated an overload of data impacting business operations and decisions.
Understand the need to identify relevant data sources required in business decisions.
Definition of IoT and Big Data concepts – IoT applications using digital technologies have generated an overload of data impacting business operations and decisions
Understand the need to identify relevant data sources required in business decisions
Understand the many variations of data sources generated from business operations – including quantitative, qualitative, structured and unstructured data
Learn the data mining process – identifying, gathering and organising of data for information to enable business decision making
Data mining – a process for organising relevant data gathered to extract information on business operations
Big Data applications – recognise when and how to apply Big Data analysis to business operations for better informed business decisions
E.g. Alibaba Taobao online shopping and retail operations, ITS (intelligent transport system), wearable devices for healthcare and insurance risk management
Introduction to disruptive trends – chatbot and Blockchain applications
Blockchain – distributed ledger for smart contracts
Chatbot – machine learning and AI applications
Peter Loh is an experienced professional in strategic management and MBCI (Market, Business & Competitive Intelligence) for over 20 years, spanning across several industries such as electronics, automotive, telecommunication, oil & gas industries. He has led many cross functional projects which produced valuable insights and critical information to drive strategic decisions.
Peter is now an Adjunct faculty member at Singapore Institute of Technology, having developed the Organization & Management module, and introducing the McKinsey 7-S concept as an analytical tool for organizational effectiveness. He has also conducted lectures at private education institutions such as Lithanhall Academy's Technopreneruship program. He formerly served as a mentor for the Edupreneur startup bootcamp, coaching professional students in developing business proposals and go-to-market plans, such as a Hindi Connect project to develop online learning content and tools, including mobile apps to be launched using a LMS platform.
Peter has an immense passion and interest in business and market development, constantly toying with ideation and is attempting to envisage a converged market, with varying business concepts and models. He is a firm believer of Big Data analysis, applying both quantitative as well as qualitative analysis (i.e. MBCI) to obtain valuable insights and intelligence for informed strategic decisions.
Peter led a Global Marketing Services (MBCI) research project for Shell's lubricant products - provided insights to agency's business models and operations mode, and recommended a "glocalisation" regional strategic sourcing strategy to the global category team.
Peter holds a Master's in Business Administration from Indiana University, and also an Advanced Certificate in Training and Assessment from the Singapore Workforce Development Agency.