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40 Cards in this Set

  • Front
  • Back

BI Analysis

theprocess of creating business intelligence. *3 Fundamental categories: reporting, data mining,and knowledge management.

BI Application

The software component of BI Systems

Business Intelligence (BI)

the process of operational and other data tocreate information that exposes patterns, relationships and trends ofimportance to the organizations

Business Intelligence Systems

Informational systems that track BI

BI Server

a computer program that delivers application results in a variety of formats to various devices for consumption by BI users

Cluster Analysis

an unsuperviseddata mining technique whereby statistical techniques are used to identifygroups of entities that have similar characteristics *Can be used to find a certaindemographic/ geographic customer in a database


In-marketbased terminology, the probability estimate that two items will be purchasedtogether

Content Management Systems (CMS)

Informationsystems that track organizational documents, web pages, graphics and relatedmaterials.


a piece of data that is stored on the user’scomputer by a browser. Can be used to store shopping carts and also be used toimplement spyware.


thesale of related products salespeople try to get consumers who buy product Xalso to buy product Y

Data Aquisition (OCORC)

in BI, the process of obtaining, cleaning,organizing, relating and cataloging data

Data Mart

datacollection that is smaller than the data warehouse, which addresses the needsof a particular department or functional area of the business

Data Mining

the applicationof statistical techniques to find patterns and relationships among data forclassification and predictions

Data Triangulation (semantic security)

concernsthe unintended release of protected data through the release of a combinationof reports or documents that are not protected

Data Warehouse

a facility for managing an organizations BI data

Decision Support Systems

another term used for BI systems

Decision Tree

a hierarchical arrangement of criteria for classifying customers, items, and other business objects


a characteristic of OLAP

(purchase date, customer type, location)

Drill down

With an OLAP report, to further divide the data into more detail

Dynamic Reports

BI documents that are updated at the time they are requested

Expert Systems

knowledge-sharing systems that are created by interviewing experts in a given business domain and coding the rules used by those experts

Expert Systems Shell

Aprogram in an expert system that processes a set of rules, typically manytimes, until the values of the variables no longer change, at which point thesystem reports the results


The level ofdetail in data

*Large granularity: customer name, balance *Small granularity: customer name, balance, orderdetails and payment history of every customer order


An open sourced program supported by Apache Foundation that manages thousands of computers

Hyper-Social management knowledge

The application of social media for the management delivery of organizational knowledge resoures

If/ then ruls

formal rules delivered from a decision tree (data mining) or by interviewing a human expert (expert systems)

Knowledge Management (KM)

The process of creating value from intellectual capital and sharing that knowledge with employees, managers, suppliers, customers and others


The ratio of confidence to the base probability of buying an item Lift shows how much the base probability changes when other products are purchased

Map Reduce

Two phase techniques for harnessing the power of thousands of computers working in parallel

1) Map phase: computers work i parallel

2) Reduce phase: separate computers are combined, eventually obtaining single results

Market-Based Analysis

A data mining technique for determining sales patterns. Shows the products that customers tend to buy together


data item of interest of an OLAP report. An item that is to be summed, averaged or processed in an OLAP cube

Neutral Network

a popular supervised data mining technique used to predict values and make classifications such as "good prospect" and "poor prospect"


a presentation of an OLAP measure with associated dimensions

Online Analytical Processing (OLAP)

A dynamic type of reporting system that provides the ability to sum count, average and perform other simple operations on groups of data. Uses can change the formal while viewing them


Query language used with Hadoop

Publish Results

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

Pull Publishing

the mode where users must request BI results

Push Publishing

the mode where BI systems deliver business intelligence to users without a request from the user

Regression analysis

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 that outcome

Reporting Application

A business intelligence application that formats data by applying reporting tools to BI data