ITCT101 Computer Technologies - Data Science - Case Studies PDF

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Mahidol University

Asst.Prof.Dr. Preecha Tangworakitthaworn

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data science product development machine learning computer technologies

Summary

This document contains a series of lecture slides on data science, covering topics such as data science process, data science for product development, and case studies. Authored by Asst.Prof.Dr. Preecha Tangworakitthaworn from Mahidol University, this material explores data analytics and the application of machine learning.

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Bachelor of Arts and Science ( B.A.Sc.) Major in Creative Technology ITCT101 Computer Technologies Module 2: AI, ML, and Data Science Data Science: Case Studies Asst.Prof.Dr. Preecha...

Bachelor of Arts and Science ( B.A.Sc.) Major in Creative Technology ITCT101 Computer Technologies Module 2: AI, ML, and Data Science Data Science: Case Studies Asst.Prof.Dr. Preecha Tangworakitthaworn Email: [email protected] Faculty of ICT, Mahidol University Bachelor of Arts and Science ( B.A.Sc.) Major in Creative Technology Agenda Data Science Process Data Science for Product Development Data Science: Case Studies ITCT101 Computer Technologies Module 2: AI, ML, and Data Science 2 Bachelor of Arts and Science ( B.A.Sc.) Data Science – One of the useful "Definition" Major in Creative Technology ITCT101 Computer Technologies Module 2: AI, ML, and Data Science Img Ref: datawow, "The Three Cores of Data Science" Bachelor of Arts and Science ( B.A.Sc.) Major in Creative Technology Data Science Process Start from Data Exploratory Inference / Alternative Results Problem Preparation Analysis Prediction Solution ITCT101 Computer Technologies Module 2: AI, ML, and Data Science Bachelor of Arts and Science ( B.A.Sc.) Major in Creative Technology Solution to a question starts at the question… ITCT101 Computer Technologies Module 2: AI, ML, and Data Science Bachelor of Arts and Science ( B.A.Sc.) Major in Creative Technology What type of questions can ML answer? Is this of type X or Y? A given claim is a fraudulent claim or not? Supervised Is this of type A, B, C, or D? Learning A customer will want to buy the insurance plan A, B, C or D? How Much / How Many? How likely is this person to buy the insurance? What will the second quarter of the insurance sale in the Northern region be? What fraction of today’s flights will arrive on time? How is the data organized? Which customers like the same kind of insurance plan? Which common behaviors of the leaving customer? Unsupervised What is the relationship between variables? Learning If a customer bought insurance A, will the customer buy insurance B? ITCT101 Computer Technologies Module 2: AI, ML, and Data Science Bachelor of Arts and Science ( B.A.Sc.) Major in Creative Technology Data Science for Product Development Ref: Khashayar Khosravi, "Why You Need Data in Your Product Development Processes", DataLeaks Yali Sassoon, "Product Analytics: Digital Products", Snowplow Analytics ITCT101 Computer Technologies Module 2: AI, ML, and Data Science Bachelor of Arts and Science ( B.A.Sc.) Major in Creative Technology How do you feel if your Google search takes 1 minute to display the results? ITCT101 Computer Technologies Module 2: AI, ML, and Data Science Bachelor of Arts and Science ( B.A.Sc.) Major in Creative Technology Current and Future Trends What if the price of a product on Lazada is higher than you expected? More informed, Impatient, high expectation Highly dynamic and competitive environments How many logistic companies do we have today? How many food deliverly services? Adaptable product/business Customer focus: Customers centric Need to know your customers…. ITCT101 Computer Technologies Module 2: AI, ML, and Data Science Bachelor of Arts and Science ( B.A.Sc.) Major in Creative Technology Data Analytics Knowledge ITCT101 Computer Technologies Module 2: AI, ML, and Data Science 12 Bachelor of Arts and Science ( B.A.Sc.) Major in Creative Technology Cross Industry Standard Process for Data Mining (CRISP-DM) 1 2 3 6 5 4 ITCT101 Computer Technologies Module 2: AI, ML, and Data Science Bachelor of Arts and Science ( B.A.Sc.) Major in Creative Technology Data Driven Model for Product Development Three Common Stages in Product Development Cycles Initialize specifications Design, build, test Setting final specifications and commercialization ITCT101 Computer Technologies Module 2: AI, ML, and Data Science Bachelor of Arts and Science ( B.A.Sc.) Major in Creative Technology Initialize specifications Understand How data is going to be used. Identify Data requirements Internal development: strategic, financial, project management, simulation data for physical products, etc. Internally and externally developed information: customer behavioral data, needs and wants, technical data Externally available information: competitor, regulatory, public data, etc. Data is an asset – Manage it and use it wisely! Capture all requirements from End-User: Business Requirement Analysis Output of Data requirement analysis is “Business Rules/Constraints” ITCT101 Computer Technologies Module 2: AI, ML, and Data Science Bachelor of Arts and Science ( B.A.Sc.) Major in Creative Technology Initialize specifications Business Requirement Analysis The problem: Organizations get complicated as they evolve; simply automating the business results in complex, restrictive and inflexible systems. The Solution: Top-down analysis of business requirements represents what’s truly required Essential: End-users’ needs or requirements Enterprise: the whole business, or specific business functions/operations. Products/Services: Determine whether products or services are met requirements. ITCT101 Computer Technologies Module 2: AI, ML, and Data Science 16 Bachelor of Arts and Science ( B.A.Sc.) Major in Creative Technology Design, build, Test Design based on data gather from the previous specifications Capture Market's trend and opportunities Collect the data during the building and testing Collect/Prepare/Undertand data required for hypothesis testing Test the hypothesis and Analyze the collected data Check if the products or services are "market-ready“. Deployment and following up While Deployment  Iteratively test and collect data to adjust/create new version/product testing any new features Verify the output can meet requirements. ITCT101 Computer Technologies Module 2: AI, ML, and Data Science Bachelor of Arts and Science ( B.A.Sc.) Major in Creative Technology ITCT101 Computer Technologies Module 2: AI, ML, and Data Science Bachelor of Arts and Science ( B.A.Sc.) Major in Creative Technology Summarization: Data is needed for The specification of any update to the products/services The specification of the impact the update should have on the products/services The measurement of the impact of the update on the products/services The decision whether or not to proceed with the rollout of the update ITCT101 Computer Technologies Module 2: AI, ML, and Data Science Bachelor of Arts and Science ( B.A.Sc.) Major in Creative Technology Case Study: Xiaomi Ref: Tan, K. H. and Zhan, Y., "Improving New Product Development Using Big Data: A Case Study of an Electronics Company", R&D Management, 47(4), p. 570-582, November 2016. Carly Gundy, "Approaching Data Science with a Product Mindset", Medium ITCT101 Computer Technologies Module 2: AI, ML, and Data Science Bachelor of Arts and Science ( B.A.Sc.) Major in Creative Technology ITCT101 Computer Technologies Module 2: AI, ML, and Data Science Bachelor of Arts and Science ( B.A.Sc.) Major in Creative Technology Normal Development Cycles After launching the product Get feedback from user/partners Fix the product with new functions/features Launch the product Repeat and repeat ITCT101 Computer Technologies Module 2: AI, ML, and Data Science Bachelor of Arts and Science ( B.A.Sc.) Major in Creative Technology Connect & Communicates Collect and Analyze Data from Social Media platforms Interact with customers Example: Xiaomi forum, Wechat, QQ and Weibo New product details, announcements, feedback and discussions Design product to be highly customizable Analysis on the User Suggestions/Feedbacks  Easy way to get "feedback and ideas extremely quickly and effectively"  Increase customer relation by signaling "a firm commitment to improvement through co-creation" with customer. ITCT101 Computer Technologies Module 2: AI, ML, and Data Science Bachelor of Arts and Science ( B.A.Sc.) Major in Creative Technology Xiaomi by the Numbers of customer Xiaomi Forum alone can have 500,000 topics per day. 85 million users upload comments and suggestions for Xiaomi's Core Operating System. 500 million users on Tudou Youku (App on Xiaomi for video hosting/viewing). Update the OS weekly. Lunch new phone product every 3 months. How did Xiaomi do it? ITCT101 Computer Technologies Module 2: AI, ML, and Data Science Bachelor of Arts and Science ( B.A.Sc.) Major in Creative Technology Product Mindset: Product-based Workflow ITCT101 Computer Technologies Module 2: AI, ML, and Data Science Bachelor of Arts and Science ( B.A.Sc.) Major in Creative Technology Data and… Speed The basic…with data science and big data: Raw Data = Feedback  Insights gained = Improvement specifications  Deployed Solutions = new features and functionalities Build Teams and Ecosystem to support the operations ITCT101 Computer Technologies Module 2: AI, ML, and Data Science Bachelor of Arts and Science ( B.A.Sc.) Major in Creative Technology More on Data Science for Marketing campaign, customer interfaces, media analysis ITCT101 Computer Technologies Module 2: AI, ML, and Data Science Bachelor of Arts and Science ( B.A.Sc.) Major in Creative Technology Case Study: Facebook Ref: Joysee De, S. and Imine, A., "Consent for targeted advertising: the case of Facebook", AI & Society, (2020) 35:1055-1064 ITCT101 Computer Technologies Module 2: AI, ML, and Data Science Bachelor of Arts and Science ( B.A.Sc.) Major in Creative Technology ITCT101 Computer Technologies Module 2: AI, ML, and Data Science Bachelor of Arts and Science ( B.A.Sc.) Major in Creative Technology In-class activity: Study ChatGPT ITCT101 Computer Technologies Module 2: AI, ML, and Data Science Bachelor of Arts and Science ( B.A.Sc.) Major in Creative Technology In-class activity: using ChatGPT to solve these questions: Discuss with ChatGPT to find out, "What is Data Science?" Discuss with ChatGPT to find out, "What is Creative Technology?" Discuss with ChatGPT to find out, "What can Data Science do for Creative Technology?“ Answer all questions and submit to eLearning system ITCT101 Computer Technologies Module 2: AI, ML, and Data Science Bachelor of Arts and Science ( B.A.Sc.) Major in Creative Technology Homework Write a short report (3-5 pages) to demonstrate how to apply and use the Data Science to support your innovation! Homework Assignment will be uploaded to the eLearning System. Due date: Tuesday, 18 February 2025 (before 12.00 pm) ITCT101 Computer Technologies Module 2: AI, ML, and Data Science

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