Podcast
Questions and Answers
Which of the following is the MOST accurate representation of the initial stage in a typical data science process?
Which of the following is the MOST accurate representation of the initial stage in a typical data science process?
- Exploratory Analysis
- Inference / Prediction
- Problem Definition (correct)
- Data Preparation
In the context of machine learning, what type of question does supervised learning primarily address?
In the context of machine learning, what type of question does supervised learning primarily address?
- Identifying patterns in data without prior knowledge.
- Predicting a continuous value for a given input. (correct)
- Determining the underlying structure of unlabeled data.
- Clustering data points into unknown groups.
Which stage of the data science process focuses primarily on cleaning, transforming, and structuring raw data?
Which stage of the data science process focuses primarily on cleaning, transforming, and structuring raw data?
- Problem Definition
- Data Preparation (correct)
- Exploratory Analysis
- Inference / Prediction
Consider a scenario where a machine learning model is used to predict whether a customer will default on a loan. Which type of question does this BEST exemplify?
Consider a scenario where a machine learning model is used to predict whether a customer will default on a loan. Which type of question does this BEST exemplify?
A data science team is tasked with predicting the price of a house based on features like location, size, and number of bedrooms. Which machine learning question type ALIGNS with this task?
A data science team is tasked with predicting the price of a house based on features like location, size, and number of bedrooms. Which machine learning question type ALIGNS with this task?
A newly established online retailer wants to implement a machine learning model to categorize incoming customer service emails into predefined categories such as 'Shipping Issues', 'Product Returns', 'Payment Problems', and 'General Inquiries'. Which question aligns with this objective?
A newly established online retailer wants to implement a machine learning model to categorize incoming customer service emails into predefined categories such as 'Shipping Issues', 'Product Returns', 'Payment Problems', and 'General Inquiries'. Which question aligns with this objective?
A research team is investigating the impact of various marketing strategies (A, B, C, and D) on product sales. They want to determine not only which strategy yields the highest sales but also quantify the precise sales increase attributable to each strategy relative to a baseline. Which question type does this multifaceted goal BEST represent?
A research team is investigating the impact of various marketing strategies (A, B, C, and D) on product sales. They want to determine not only which strategy yields the highest sales but also quantify the precise sales increase attributable to each strategy relative to a baseline. Which question type does this multifaceted goal BEST represent?
Which of the following questions falls under the domain of unsupervised learning?
Which of the following questions falls under the domain of unsupervised learning?
Which of the following best exemplifies the characteristics of today's customers as highlighted in the material?
Which of the following best exemplifies the characteristics of today's customers as highlighted in the material?
In the context of product development, why is understanding customer behavior paramount?
In the context of product development, why is understanding customer behavior paramount?
What type of learning is exemplified when determining if a customer will buy insurance B, given they bought insurance A?
What type of learning is exemplified when determining if a customer will buy insurance B, given they bought insurance A?
In a highly dynamic and competitive environment, what key characteristic should a product or business possess to thrive?
In a highly dynamic and competitive environment, what key characteristic should a product or business possess to thrive?
Which of the following questions exemplifies the application of data science in product development?
Which of the following questions exemplifies the application of data science in product development?
Consider an e-commerce platform where the price of a product fluctuates based on demand. What customer expectation is most likely being challenged in this scenario?
Consider an e-commerce platform where the price of a product fluctuates based on demand. What customer expectation is most likely being challenged in this scenario?
Imagine a scenario where an AI-powered search engine takes an excessively long time (e.g., 1 minute) to display search results. Which of the following customer attributes is most directly affected?
Imagine a scenario where an AI-powered search engine takes an excessively long time (e.g., 1 minute) to display search results. Which of the following customer attributes is most directly affected?
Given the increasing accessibility of information and the expectation for rapid service, which business strategy would be LEAST effective in maintaining customer satisfaction?
Given the increasing accessibility of information and the expectation for rapid service, which business strategy would be LEAST effective in maintaining customer satisfaction?
What does a top-down analysis of business requirements primarily represent?
What does a top-down analysis of business requirements primarily represent?
During the 'Design, Build, Test' phase, which activity focuses on capturing market trends and opportunities?
During the 'Design, Build, Test' phase, which activity focuses on capturing market trends and opportunities?
What is the primary purpose of collecting data during the building and testing phase?
What is the primary purpose of collecting data during the building and testing phase?
In the context of product development, what happens during iterative testing in the deployment phase?
In the context of product development, what happens during iterative testing in the deployment phase?
Which of the following is NOT a key reason for collecting data related to product/service updates?
Which of the following is NOT a key reason for collecting data related to product/service updates?
What is the ultimate goal of checking if products or services are 'market-ready'?
What is the ultimate goal of checking if products or services are 'market-ready'?
What does 'essential' refer to in the context of top-down analysis of business requirements?
What does 'essential' refer to in the context of top-down analysis of business requirements?
What does 'Enterprise' refer to in the context of business requirements?
What does 'Enterprise' refer to in the context of business requirements?
How can an Electronics company improve new product development, according to Tan, K.H.and Zhan, Y.?
How can an Electronics company improve new product development, according to Tan, K.H.and Zhan, Y.?
During the 'Design, Build, Test' phase of product development, what is the most critical reason for rigorously testing hypotheses with collected data?
During the 'Design, Build, Test' phase of product development, what is the most critical reason for rigorously testing hypotheses with collected data?
Which of the following best describes the primary purpose of the CRISP-DM methodology?
Which of the following best describes the primary purpose of the CRISP-DM methodology?
In the context of product development, what is the MOST important reason for understanding how data will be used during the 'Initialize specifications' stage?
In the context of product development, what is the MOST important reason for understanding how data will be used during the 'Initialize specifications' stage?
During the 'Initialize specifications' stage of product development, which type of data is LEAST likely to be considered?
During the 'Initialize specifications' stage of product development, which type of data is LEAST likely to be considered?
What is the direct output of a data requirement analysis during the initial specification phase?
What is the direct output of a data requirement analysis during the initial specification phase?
Which of the following is a potential pitfall of simply automating existing business processes without careful analysis?
Which of the following is a potential pitfall of simply automating existing business processes without careful analysis?
In the CRISP-DM model, what phase directly follows 'Data Preparation' and precedes 'Evaluation'?
In the CRISP-DM model, what phase directly follows 'Data Preparation' and precedes 'Evaluation'?
Which of the following best summarizes the role of 'Business Requirement Analysis' during the 'Initialize specifications' stage?
Which of the following best summarizes the role of 'Business Requirement Analysis' during the 'Initialize specifications' stage?
Which of the following is the MOST accurate description of how organizations typically evolve over time, impacting their systems?
Which of the following is the MOST accurate description of how organizations typically evolve over time, impacting their systems?
If a company decides to skip the 'Business Understanding' phase of the CRISP-DM model, what is the MOST likely consequence?
If a company decides to skip the 'Business Understanding' phase of the CRISP-DM model, what is the MOST likely consequence?
An organization aims to implement a new AI-driven customer service system. They meticulously automate their existing, but highly inefficient, call center processes without conducting a thorough business requirement analysis or process re-engineering. What is the MOST probable outcome?
An organization aims to implement a new AI-driven customer service system. They meticulously automate their existing, but highly inefficient, call center processes without conducting a thorough business requirement analysis or process re-engineering. What is the MOST probable outcome?
What is a key benefit of connecting and communicating with customers through social media platforms for product development?
What is a key benefit of connecting and communicating with customers through social media platforms for product development?
In a normal product development cycle, which step typically follows the launch of a product?
In a normal product development cycle, which step typically follows the launch of a product?
Approximately how frequently does Xiaomi update its operating system, based on the information?
Approximately how frequently does Xiaomi update its operating system, based on the information?
What is the primary operational implication of designing a product to be highly customizable, as exemplified by Xiaomi's approach?
What is the primary operational implication of designing a product to be highly customizable, as exemplified by Xiaomi's approach?
Given Xiaomi's operational tempo of launching a new phone product every 3 months and updating its OS weekly, which strategic challenge would be MOST critical for them to continuously address?
Given Xiaomi's operational tempo of launching a new phone product every 3 months and updating its OS weekly, which strategic challenge would be MOST critical for them to continuously address?
Flashcards
Data Science
Data Science
A multidisciplinary field using scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data.
Data Science Process
Data Science Process
The process of understanding the problem, preparing the data, exploring and analyzing, inferring/predicting and finding alternative solutions to the original problem.
Importance of the Question
Importance of the Question
The starting point of any effective solution is a well-defined question.
Supervised Learning
Supervised Learning
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Is this of type X or Y?
Is this of type X or Y?
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How Much / How Many?
How Much / How Many?
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Fraudulent claim detection
Fraudulent claim detection
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Relationship between Variables
Relationship between Variables
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Customer Expectations
Customer Expectations
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Dynamic and Competitive Environments
Dynamic and Competitive Environments
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Customer-Centric
Customer-Centric
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Need to know your customers
Need to know your customers
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Data Science for Product Development
Data Science for Product Development
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Product Analytics
Product Analytics
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CRISP-DM
CRISP-DM
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Data Driven Model
Data Driven Model
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Initialize Specifications
Initialize Specifications
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Internal Development Data
Internal Development Data
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Internal/External Data
Internal/External Data
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Externally Available Data
Externally Available Data
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Data as an asset
Data as an asset
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Business Requirement Analysis
Business Requirement Analysis
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Business Rules/Constraints
Business Rules/Constraints
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Complicated Organizations
Complicated Organizations
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Normal Development Cycles
Normal Development Cycles
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Social Media Data Use
Social Media Data Use
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Product Customization
Product Customization
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Co-Creation Benefits
Co-Creation Benefits
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Xiaomi's Fast Development
Xiaomi's Fast Development
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Top-down analysis
Top-down analysis
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Essential requirements
Essential requirements
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Enterprise scope
Enterprise scope
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Product/Service Requirement Alignment
Product/Service Requirement Alignment
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Data-Driven Design
Data-Driven Design
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Data Acquisition
Data Acquisition
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Market-Ready Check
Market-Ready Check
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Iterative Deployment Testing
Iterative Deployment Testing
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Update Specification
Update Specification
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Impact Measurement
Impact Measurement
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Study Notes
- ITCT101 Computer Technologies covers AI, Machine Learning (ML), and Data Science.
- The lecture will cover the Data Science Process, Product Development, and Data Science case studies.
Data Science Definition
- Concerns Computer Science/IT, Math and Statistics, and Domains/Business Knowledge.
Data Science Process
- Starts from a Problem, undergoes Data Preparation, Exploratory Analysis, Inference/Prediction, and an Alternative Solution, to produce Results.
- Addressing a solution should start with the question itself.
ML Question Types and Approaches
- Yes/No questions indicate Supervised Learning.
- Finding the data organization relies on Unsupervised Learning.
Data Science for Product Development
- Requires Khashayar Khosravi, "Why You Need Data in Your Product Development Processes"
- Requires Yali Sassoon, "Product Analytics: Digital Products"
Current and Future Trends
- Include informed, impatient customers with high expectations.
- Dynamic and competitive environments are growing.
- Adaptable products/businesses are essential.
- Customer focus is a need.
KDD (Knowledge Discovery in Databases) Process
- Involves Selection, Preprocessing, Transformation, Data Mining, Interpretation/Evaluation, and Knowledge.
CRISP-DM Data Mining Process
- Requires Business Understanding
- Requires Data Understanding
- Requires Data Preparation
- Requires Modeling
- Requires Evaluation
- Requires Deployment
Data Driven Model in Product Development
- The three common stages include:
- Initializing specifications
- Design, build, and test
- Setting final specifications and commercialization.
Initialize Specifications
- Understand how data will be used
- Have a way to Identify Data requirements
- Includes Internal development, Internally and externally developed information, Externally available information,
- Data must be considered an asset
- Capture all requirements from end-users with Business Requirement Analysis
- Output of Data requirement analysis becomes "Business Rules/Constraints."
Business Requirement Analysis
- Happens because Organizations become complicated, simply automating business results in complex, restrictive and inflexible systems.
- The solution includes:
- Top-down analysis of business requirements which 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 met requirements.
Design, Build, Test
- Designs are based on data gathered from previous specifications.
- Market trends and opportunities are captured.
- Data are tested during building.
- Products/services are verified as "market-ready."
Deployment and Following Up
- Deploys iteratively to test and collect data to adjust/create new versions/products.
- Conduct testing with any new features and verify output to meet requirements
Summarization
- Updates must specify effects on Products/Services
- Describe the impact the update should have
- Impacts must feature The measurement criteria
- Conclude with a decision of whether or not to proceed with updates.
Case study: Xiaomi
- Normal Development Cycles consist of launching, receiving feedback from user/partners, fix the product with new functions/features, and then rinse and repeat.
Connect & Communicates
- Data must be collected and analyzed from social media platforms.
- Interact with customers on Xiaomi forums, Wechat, QQ, and Weibo
- Provide Feedback with Product details, announcements, feedback, and discussions
- Design products to be highly customizable
- Analyze User Suggestions and Feedbacks
- Get feedback and ideas quickly and effectively
- Develop customer relations with firm improvement commitment through co-creation with customers.
Case study: Facebook
- Includes the Use of targeted advertising with user data from other websites and apps.
Homework
- Write a 3-5 page report demonstrating how to apply and use Data Science to support your innovation
- Assignment must be uploaded to the eLearning System by Tuesday, 18 February 2025 before 12:00 pm.
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