Chapter 9 Flashcards

(42 cards)

1
Q

Business intelligence systems

A

information systems that process operational and other data to analyze past performance and to make predictions

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2
Q

business intelligence

A

the patterns, relationships, and trends identified by BI systems

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3
Q

BI application

A

the software component of a BI system

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4
Q

Example of BI (project management)

A

create a partnership program between clients and employees

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5
Q

Example of BI (problem solving)

A

How can we increase revenue?

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6
Q

Example of BI (deciding)

A

Which product creates the most revenue? decide to produce more of that product

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7
Q

Example of BI (informing)

A

How do our sales compare to our sales forecast?

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8
Q

Typical uses of BI

A
  1. identifying changes in consumer purchasing patterns
  2. entertainment (Amazon, Netflix, Spotify)
  3. Predictive policing
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9
Q

predictive policing

A

analyzing data on past crimes to predict where crimes are likely to occur in the future

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10
Q

Data aquisition

A

process of obtaining, cleaning, organizing, relating, and cataloging source data

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11
Q

BI analysis

A

process of creating BI

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12
Q

Push publishing

A

delivers BI to users without any request from the users

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13
Q

Pull publishing

A

requires the user to request BI results

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14
Q

data warehouse

A

a facility for managing an organization’s BI data

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15
Q

functions of a data warehouse

A
  • obtain data
  • cleanse data
  • organize and relate data
  • catalog data
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16
Q

Can a company use a different DBMS for organizational and data warehouse databases?

A

YES

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17
Q

What are some problems with operational data?

A
  • dirty data
  • missing values
  • inconsistent data
  • too much data
  • wrong granularity
18
Q

granularity

A

the level of detail represented by the data

19
Q

data mart

A

a data collection, smaller than a data warehouse, that addresses the needs of a particular department or functional area of the business

20
Q

data mart v. data warehouse

A

A data warehouse acts as a distributor in the supply chain. The data mart acts as a retail store in the supply chain

21
Q

Three types of BI Analysis

A

reporting
data mining
BigData

22
Q

reporting analysis

A

process of sorting, grouping, summing, filtering, and formatting structured data

23
Q

structured data

A

data in the form of rows and columns

24
Q

exception reports

A

reports produced when something out of the predefined bounds occurs

25
goal of BI analysis - reporting
create information about the past
26
goal of BI analysis - data mining
classify and predict
27
goal of BI analysis - BigData
find patterns and relationships in BIgData
28
characteristics of reporting
process structured data by sorting, grouping, etc.
29
characteristics of data mining
use sophisticated statistical techniques to find patterns and relationships
30
characteristics of BigData
volume, velocity, and variety force
31
data mining
application of statistical techniques to find patterns and relationships among data
32
unsupervised data mining
analysts do not create a model or hypothesis before running the analysis
33
cluster analysis
identify groups of data with similar characteristics
34
supervised data mining
data miners develop a model prior to the analysis of the data
35
regression analysis
measures the impact of a set of variables on another variable
36
MapReduce
Map - BigData is broken into pieces, and hundreds of thousands of independent processors search these pieces for something of interest Reduce - the results from the mapping phase combined
37
Hadoop
an open source program supported by the Apache Function that manages thousands of computers and that implements the MapReduce
38
static reports
BI documents that are fixed at a time and do not change
39
dynamic reports
BI documents that are update at the time they are requested
40
BI server
a web server application that is purpose-built for the publishing of business intelligence
41
example of BI server
Microsoft SQL Server Report manager
42
Two major functions of BI server
management | delivery