ch8 Flashcards

(39 cards)

1
Q

2 managerial keys

A

decision making between alternatives and fast decision making

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2
Q

rational managing (5)

A
figure out what the problem is by asking the right questions 
get all the relevant info 
talk to all parties involved 
weigh all factors 
choose the most optimal solution
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3
Q

decision making steps (5)

A
get intelligence 
alternative formulation 
choice 
implementation 
review
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4
Q

3 factors to decision making

A

data
info
knowledge

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5
Q

problematic data (4)

A

wrong granularity
inconsistent data
nonintegrated data
dirty data because of nature of the business

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6
Q

what does OLTP stand for

A

online transaction processing

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7
Q

what does OLTP do

A

collects data and processes transactions

backbone of functional, cross functional, inter-organizational systems

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8
Q

2 types of transaction processing

A

real time and batch

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9
Q

what does OLAP stand for

A

online analytical processing

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10
Q

what does OLAP do

A

improves OLTP and does aritmitic functions

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11
Q

characteristics of data as a asset 4

A

reusable
low cost
can improve revenue and decisions
lower costs

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12
Q

what does BI stand for

A

business intelligence

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13
Q

what does BI do

A

gives information to improve business decision making

makes sure that the info is given to the right user

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14
Q

what are the primary BI systems 4

A

reporting systems
data mining systems
knowledge management systems
expert systems

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15
Q

what is a data wharhouse

A

collects and stores data from other sources

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16
Q

data warehouse things it does 5

A
prepares data for BI processing 
cleans the data 
catalogs the data 
obtains the data 
organizes and relates the data
17
Q

what is a data mart

A

a smaller data warehouse for particular needs

18
Q

what is data mining

A

finding patterns and relationships in data to make predictions

19
Q

what is unsupervised mining

A

no model or hypotheses is made before the analysis instead hypothesis is made after to explain the results

20
Q

what is supervised data mining

A
  • hypothesis and a model is made before the analysis

- stats are used to estimate the parameters of the model

21
Q

what are the three V’s in data mining

A

volume
velocity
variety

22
Q

what is information overload

A

a lot of irrelevant info

23
Q

Granularity

A

its the level of detail in data

24
Q

clickstream data

A

e commerce data that describes a customers clicking behaviour

25
what does DSS stand for
decision support systems
26
what does dss do
it makes data collected by OLTP useful for decision making
27
what is drill down
further dividing data into more detail
28
data resource challenge
when OLTP data isn't used for decision making
29
what does GDSS stand for
group decision support system
30
what does GDSS do
its a application that allows more than one individual to make a decision
31
market-basket analysis
its a data mining technique that determines sales patterns and shows what customers buy together
32
knowladge management system
retrieves a organizations knowledge
33
expert systems
systems created by interviewing experts and using their knowledge
34
what is RFM analysis
ranking customers based on their purchasing patterns
35
what is metadata
data that describes data
36
what is cluster mining
identifying groups that have similar data characteristics
37
what is lift
its the ratio of confidence to the base probability to buying the item
38
what is big data
term refers to a large volume and variety of data over a period in time
39
what does a OLAP report have
measurements and dimensions