W01 Introduction Flashcards

1
Q

Types of Analytics (3)

A

descriptive
(exploratory, clustering, statistics, visualization)
predictive
(scenarios, forecasts, classification, regression, inductive statistics)
prescriptive
(optimization, heuristics)

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2
Q

Prescriptive Analytics

A

Evaluate and determine new ways to operate.

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3
Q

Data Analysis, 3 types

A
1 descriptive
  -statistics
  -visualization
2 model driven
  -inductive
  -parametrize model
3 data driven
  -exploratory, data mining

best to combine model driven and data driven !!

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4
Q

Optimization can be (considering robustness)

A
  • deterministic (not robust) best for solution for single paramter set (good if known)
  • robust, considering a number of possible paramter sets (scenarios) finds compromise for all. Good for uncertainty, even better for risk (known probabilities)
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5
Q

Success factors of teams

A
small
complementary
clear joint objective
same work and tools
accountability
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