\(~~~~~~~~~~~~~~\)Chapter 1\(~~~~~~~~~~~~~~\)
Overview of Big Data for Business

Somsak Chanaim

International College of Digital Innovation, CMU

June 5, 2025

The Art of War by Sun Tzu

Quotes

รู้เขารู้เรา รบร้อยครั้งชนะร้อยครั้ง

One who knows the enemy and knows himself will not be in danger in a hundred battles.

知彼知己,百战不殆。 (Zhī bǐ zhī jǐ, bǎi zhàn bù dài.)

သူတို့ကိုလည်း သိတတ်၊ ကိုယ့်ကိုလည်း သိတတ်လျှင် တိုက်ခိုက်သည့်တိုင်း မရှုံးနိုင်။

Why do students, CEOs, or policymakers need information?

In what ways can we interpret the above situation?

In what ways can we interpret the above situation?
  • Do you want to study a program in digital innovation, economics, or science?

  • Are you planning to open a coffee shop or start a business in your neighborhood?

  • Are you interested in buying stocks or digital assets?

  • Why did you choose this woman/man to be your partner?

  • Will you fill up your gas tank today?

  • How will the trade war affect the economy?

Data is Everywhere

Car dashboard

Car dashboard

What insights can we gather from the car’s dashboard?

Even Your Phone Screen Holds Data

What does your phone screen tell you?

What does your phone screen tell you?

Cryptocurrency

If you could invest in one digital asset today, what would it be?

Bitcoin

Bitcoin

Based on the chart, should you buy or sell BTC?

The coffee shop around ICDI

The coffee shop around ICDI

Considering the number of nearby cafés, would you still open a coffee shop in this area?

Where Does Data Come From?

  • Observation and recording from natural sources (e.g., the sun, the moon, seasons)

  • User consent through app or platform registration

  • Data extracted or purchased from data-selling platforms

  • Cookies that track website usage behavior with user consent

  • Surveys and questionnaires

  • Sensor or IoT data (e.g., smartwatches worn by students)

  • Transaction and exchange data

How to Monetize Data?

  1. Sell customer data

  2. Increase sales using data

  3. Use data for marketing and advertising

  4. Sell data to players within your industry’s value chain

  5. Sell data to players outside your own industry

  6. Use data to increase company valuation

  7. Predict future value using historical data

  8. Formulate policies based on data

  9. Provide data storage or data-related services

Mathematical Theory for Data Science

Topics

  • Linear Algebra

  • Calculus

  • Optimization

  • Probability

  • Set Theory

Statistical Theory for Data Science

Topics

  • Descriptive Statistics

  • Inferential Statistics

  • Hypothesis testing.

  • Bayesian Statistics.

Other Disciplines


Fields

  • Economics

  • Marketing

  • Finance

  • Management

  • Art

Computer Programming or No Code Software

Logos of different software applications

Logos of different software applications
  • Python/R/SAS/MATLAB/Hadoop/Spark

  • SPSS/Minitab/JAMOVI/JASP

  • Orange Data Mining/SPSS Modeler/Rapid Miner

  • EXCEL

  • Power BI/Google Data Studio

R or Python

R Code

Python Code

\(~~~~~~~~\)Thank You\(~~~~~~~\)
\(~~~~~~~~~~~~\)Q&A