Business Management HL
Business Management HL
6
Chapters
223
Notes
Unit 1 - Introduction To Business Management - QB
Unit 1 - Introduction To Business Management - QB
Unit 2 - Human Resource Management - QB
Unit 2 - Human Resource Management - QB
Unit 3 - Finance & accounts - QB
Unit 3 - Finance & accounts - QB
Unit 4 - Marketing - QB
Unit 4 - Marketing - QB
Unit 5 - Operations management - QB
Unit 5 - Operations management - QB
Unit 6 - Assessment
Unit 6 - Assessment
IB Resources
Unit 5 - Operations management - QB
Business Management HL
Business Management HL

Unit 5 - Operations management - QB

Unlocking Business Success: Data Analytics & Data Mining Explained

Word Count Emoji
685 words
Reading Time Emoji
4 mins read
Updated at Emoji
Last edited onย 5th Nov 2024

Data Analytics & Data Mining ๐Ÿ“Š

What is it?
•    Tools that help business managers make informed decisions.
 Uses?
•    ๐Ÿ“ Market research: Collect data from potential customers.
•    ๐ŸŽฏ Promotion: Target certain groups using specific criteria.
•    ๐Ÿ’ณ Credit risk management: Identify customers who might not be creditworthy

Real-World Example

  • Supermarket Loyalty Programs
    • Offers loyalty cards for special discounts.
    • Tracks what customers buy, when, where, and at what price.
    • Uses data to send targeted offers or decide when to put items on sale.
  • Pros for Customers
    • Discounts and special offers!
  • Cons for Customers
    • Personal data collection might feel creepy. ๐Ÿ˜ฌ (e.g., knowing your food preferences).

Data in Employee Management ๐Ÿ–ฅ๏ธ

  • Taylor’s Scientific Management (Recap from Chapter 2.4)
    •   Aim: Increase productivity using scientific methods.
    • Taylorism Principle: Managers should monitor workers' performance

Then vs Now

•    Early 20th Century: Managers observed workers directly.
•    21st Century: Welcome to "Digital Taylorism"! Monitoring through IT systems.

Real-World Example

Remote Work Monitoring

  • Managers can see when staff logs in and track their activities.
  • Identify those who might need training or aren't being productive.
  • Also, employers can monitor communications, like reading company emails.

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IB Resources
Unit 5 - Operations management - QB
Business Management HL
Business Management HL

Unit 5 - Operations management - QB

Unlocking Business Success: Data Analytics & Data Mining Explained

Word Count Emoji
685 words
Reading Time Emoji
4 mins read
Updated at Emoji
Last edited onย 5th Nov 2024

Data Analytics & Data Mining ๐Ÿ“Š

What is it?
•    Tools that help business managers make informed decisions.
 Uses?
•    ๐Ÿ“ Market research: Collect data from potential customers.
•    ๐ŸŽฏ Promotion: Target certain groups using specific criteria.
•    ๐Ÿ’ณ Credit risk management: Identify customers who might not be creditworthy

Real-World Example

  • Supermarket Loyalty Programs
    • Offers loyalty cards for special discounts.
    • Tracks what customers buy, when, where, and at what price.
    • Uses data to send targeted offers or decide when to put items on sale.
  • Pros for Customers
    • Discounts and special offers!
  • Cons for Customers
    • Personal data collection might feel creepy. ๐Ÿ˜ฌ (e.g., knowing your food preferences).

Data in Employee Management ๐Ÿ–ฅ๏ธ

  • Taylor’s Scientific Management (Recap from Chapter 2.4)
    •   Aim: Increase productivity using scientific methods.
    • Taylorism Principle: Managers should monitor workers' performance

Then vs Now

•    Early 20th Century: Managers observed workers directly.
•    21st Century: Welcome to "Digital Taylorism"! Monitoring through IT systems.

Real-World Example

Remote Work Monitoring

  • Managers can see when staff logs in and track their activities.
  • Identify those who might need training or aren't being productive.
  • Also, employers can monitor communications, like reading company emails.

Unlock the Full Content! File Is Locked Emoji

Dive deeper and gain exclusive access to premium files of Business Management HL. Subscribe now and get closer to that 45 ๐ŸŒŸ

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