Module 1 Flashcards

1
Q

Common mistakes in the absence of data analytics:

A

-“fooled by randomness”
-drawing broad conclusions from small samples
-basing decisions on anecdote
-confirmation bias
collecting evidence that supports the existing conclusion
discounting evidence that does not support the existing conclusion

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2
Q

The need for data analytics:

A

-Bias: instincts can be misleading (cultural/racial bias)
-complexity: with greater complexity comes greater risk
-data analytics can lead to…….. (outcomes that would have been missed

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3
Q

Examples of business analytics in marketing

A
  • recommendation systems
    -Netflix, google, spotify
    -measures what you liked before and what other similar to you have liked
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4
Q

Examples of analytics in management

A

-predicting warehouse volumes by location for upcoming delivery requests
-amazon and Walmart shipping centers
-the race to same day delivery

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5
Q

Four different methods of business analytics

A
  1. Descriptive: interpreting historical data to identify trends and patterns. mostly done by visualization (answers “what happened?”)
  2. Diagnostic: interpretation of historical data to determine why something has happened (“Why did this happen?”)
  3. Predictive: the use of statistics to forecast future outcomes (what might happen in the future?”)
  4. prescriptive: application of testing and other techniques to determine which scenario gives the best result (What should we do next?”)
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6
Q

Tools for data analytics

A

-communication skills
-synthesis
-statistics (evidence based decision making)
-software tools (excel aka workhorse)

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7
Q

three types of questions for data analytics

A
  1. predicting an outcome
  2. evaluating information
  3. identifying a casual relationship
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8
Q

Data analytics is transforming all of the business disciplines like….

A
  • marketing
    -finance
    -management
    -accounting
    -economics
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9
Q

Data is the raw material of knowledge. It is the foundation of:

A

-facts
-evidence
-truth

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