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Flashcards in chpt 9 Deck (27):
1

Business intelligence system, define

processes operational data to identify patterns

2

rank 3 neural network

AI vs machine vs deep learning

3

data mining define

finding new data patterns

4

neural network define

teaching machine to learn and find data

5

define 2 types of data mining

supervised- run model and find if hypothesis is true
unsupervised- run an algorithm to see if info is produced

6

quantum computers run on which 3 numbers

0,1, 01

7

how do orgs use business intelligence(extra, sort of, 5)

problem solving
deciding
information
identify patterns
predictive

8

what are three primary activities n BI process

have source data
acquire
perform analysis
publish results
feedback

9

how do orgs use data warehouse and data marts

data mart is faster, quicker, small version of data warehouse

10

how do orgs use report apps

bi that inputs data

11

market basket analysis

identify patterns
identify what is bought together
compute probability
identify cross selling

12

define push and pull

push gets auto sent
pull is requested

13

4 categories of business analysis

recording
data mining
big data
knowledge management

14

define big data

huge volume
rapid veloity
great variety

15

list big data techniques (3)

huge volume
rapid veloity
great variety

16

OLTP OLAP

online transaction processing
online application processing

17

RFM stands for

recently-how long ago
frequently- how often
money how much spent

18

structured vs
unstructured data

data numbers
graphics audio video

19

knowledge management system (3)

sharing knowledge company wide

20

knowledge management system (3)

sharing knowledge company wide

21

primary activities

acquire dat
a perform analysis

22

data warehouse(oltp) not (olap)
w/ data mart

obtain data from internal external database
organize and relate data
catalogue data using metadata

23

data mining supervised vs unsupervised vs clustered

cluster notices differences

24

map reduce

reduces complexity, splits problem up

25

map reduce

reduces complexity, splits problem up

26

hadoop

manages thousands of computers

27

bi server functions

managing
delivering