9 - Business Intelligence Systems

Question 1

BI analysis

Answer 1

The process of creating business intelligence. The four fundamental categories of BI analysis are:

1. Reporting
2. Data Mining
3. BigData
4. Knowledge Management

Question 2

BI application

Answer 2

The software component of a BI system

Question 3

BigData

Answer 3

A term used to describe data collections that are characterized by huge volume, rapid velocity, and great variety.

Question 4

BI server

Answer 4

A web server application that is purpose-built for the publishing of business intelligence.

Question 5

Business Intelligence (BI)

Answer 5

The process of using operational and other data to create information that exposes patterns, relationships, and trends of importance to the org.

Question 6

Business Intelligence (BI) systems

Answer 6

Information systems that process operational and other source data to identify patterns, relationships, and trends and make predictions.

Question 7

Cluster Analysis

Answer 7

An unsupervised data mining technique whereby statistical techniques are used to identify groups of entities that have similar characteristics.

A common use for cluster analysis is to find groups of similar customers in data about customer orders and customer demographics.

Question 8

Cookie

Answer 8

A small file that is stored on the user’s computer by a browser.

Cookies can be used for authentication, for storing shopping cart contents and user prefs, and other legitimate purposes.

Cookies can also be used to implement spyware.

Question 9

Data Acquisition

Answer 9

In BI systems, the process of obtaining, cleaning, organizing, relating, and cataloging source data.

Question 10

Data Aggregator

Answer 10

same as Data Broker:

A company that acquires and purchases consumer and other data from public records, retailers, internet cookie vendors, social media trackers, and other soruces and uses it to create BI that it sells to companies and the gov’t.

Question 11

Data Broker

Answer 11

A company that acquires and purchases consumer and other data from public records, retailers, internet cookie vendors, social media trackers, and other soruces and uses it to create BI that it sells to companies and the gov’t.

Question 12

Data mart

Answer 12

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

Question 13

Data mining

Answer 13

The application of statistical techniques to find patterns and relationships among data for classification and prediction.

Question 14

Data Warehouse

Answer 14

A facility for managing an organization’s BI data

Question 15

Decision support system

Answer 15

Some authors define BI systems as supporting decision making ONLY, in which case they use this older term as a synonym for decision-making BI systems.

Question 16

Dynamic Reports

Answer 16

Reports that are pulling data “in Real Time”

Question 17

Exception Reports

Answer 17

Reports produced when something out of pre-defined bounds occurs.

Question 18

Granularity

Answer 18

Level of detail in data.

Customer name and account balance is “large granularity” data.

Customer name, balance, and the order details and payment history of every customer order is smaller granularity.

Question 19

Hadoop

Answer 19

An open-source program supported by the Apache Foundation that manages thousands of computers and which implements MapReduce.

Question 20

MapReduce

Answer 20

A two-phase technique for harnessing the power of thousands of computers working in parallel.

During the first phase, the Map phase, computers work on a task in parallel; during the second phase, the Reduce phase, the work of separate computers is combined, eventually obtaining a single result.

Question 21

Pig

Answer 21

Query language used with Hadoop

Question 22

Predictive Policing

Answer 22

Using data on past crimes to predict where future crimes are likely to occur.

Question 23

Publish results

Answer 23

The process of delivering business intelligence to the knowledge workers who need it.

Question 24

Pull publishing

Answer 24

In BI systems, the mode whereby users must request BI results.

Question 25

Push publishing

Answer 25

In business intelligence (BI) systems, the mode whereby the BI system delivers business intelligence to users without any requests from the users, according to a schedule, or as a result of an event or particular data condition

Question 26

Regression analysis

Answer 26

A type of supervised data mining that estimates the values of parameters in a linear equation.

Used to determine the relative influence of variables on an outcome and also to predict future values of an outcome.

Question 27

Reporting Analysis

Answer 27

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

Question 28

Reporting Analysis

Answer 28

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

Question 29

Semantic Security

Answer 29

Concerns the unintended release of protected data through the release of a combination of reports or documents that are not protected independently.

Question 30

Static Reports

Answer 30

Business intelligence documents that are fixed at the time of creation and do not change

Question 31

Structured Data

Answer 31

Data in the form of rows and columns

Question 32

Subscriptions

Answer 32

User requests for particular business intelligence results on a stated schedule or in response to particular events

Question 33

Supervised data mining

Answer 33

A form of data mining in which data miners develop a model prior to the analysis and apply statistical techniques to data to estimate values of the parameters of the model.

Question 34

The Singularity

Answer 34

The point at which computer systems become sophisticated enough that they can create and adapt their own software and hence adapt their behavior without human assistance

Question 35

Third-party Cookie

Answer 35

A cookie created by a site other than the one visited.

Question 36

Unsupervised Data mining

Answer 36

A form of data mining whereby the analysts do not create a model or hypothesis before running the analysis.

Instead, they apply the data mining technique to the data and observe the results. With this method, analysts create hypotheses after the analysis to explain the patterns found.