Exam 1 Flashcards

(40 cards)

1
Q

Characteristics of good data

A
  • Accurate
  • Timely
  • Relevant (in all ways)(to context and to subject)
  • Just sufficient (just what you need and nothing else)
  • Worth its cost
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Non Routine marketable skills

A
  • collaboration
  • abstract reasoning
  • systems thinking
  • experiment
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

collaboration

A

develop ideas and plans with others. provide and receive critical feedback

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

abstract reasoning

A

construct a model or representation

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

systems thinking

A

model system components and show how components inputs and outputs relate to one another

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

experiment

A

create and test promising new alternatives, consistent with available resources

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Metcalfe’s Law

A

network value equal to square of number of users connected to it (google, amazon, ebay exist due to large numbers of internet)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

MIS key elements

A
  • management
  • development and use
  • achieving strategies
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

management

A

develop, maintain and adapt; create an IS that meets your needs

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

development and use

A

active role, understand needs and requirements; consider users needs during development

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

achieving strategies

A

IS systems exist to help people in a business achieve the business strategy

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Porters 5 forces

A
  • bargaining power of customers
  • threat of substitutes
  • bargaining power of suppliers
  • threat of new entrant
  • rivalry
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Primary activities of the value chain

A
  • inbound logistics
  • operations/manufacturing
  • outbound logistics
  • sales and marketing
  • customer service
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

inbound logistics

A

receiving, storing and disseminating inputs to the products

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

operations/manufacturing

A

transforming inputs into the final product

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

outbound logistics

A

collecting, storing and physically distributing the products to the buyers

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

sales and marketing

A

inducing buyers to purchase the products and providing a means for them to do so

18
Q

customer service

A

assisting the customers use of the products and thus maintaining and enhancing the product value

19
Q

What is BI?

A

a technology driven process for analyzing data and presenting actionable information to help corporate executives, business managers and other end users make more informed business decisions

20
Q

Activities in the BI process

A
  • acquire data
  • perform analysis
  • publish results
21
Q

acquire data

A

obtain, cleanse, organize and relate, catalog

22
Q

perform analysis

A

reporting, data mining, big data, knowledge

23
Q

publish results

A

print, web servers, report servers, automation

24
Q

components of BI system

A
  • operational
  • social
  • purchased
  • employee knowledge
25
How do organizations use BI?
- project management - problem solving - deciding - informing
26
project management
particulars of opening a new branch
27
problem solving
how do we decrease our overall budget
28
deciding
should we cancel this product line
29
informing
compare sales to forecasts
30
unsupervised data mining
- does not use a priori hypothesis or model - findings obtained solely by data analysis - hypothesized model created to explain patters found - ex: cluster analysis
31
Supervised data mining
- uses priori model - prediction, such as regression analysis - ex: cellphoneweekendminutes
32
data mart
addresses a particular component or functional area of the business
33
market based analysis
an unsupervised data mining technique for determining sales patterns (statistical methods to identify sales patterns in large volumes of data, products customers tend to buy together, identify cross selling opportunities)
34
wrong granularity
- too fine - not fine enough
35
reporting applications
create meaningful information from disparate data sources
36
basic operations in reporting applications
- sorting - filtering - grouping - calculating
37
Moore's law
computer price/performance ratio decreases
38
goals
- gain competitive advantage - improve business processes - gain knowledge about your business
39
intangible (nonphysical)
- patents - property rights - trademarks - goodwill - employee moral - intellectual properties
40
tangible (physical)
- buildings - computers - any kind of equipment