Ch. 6 & 7 Flashcards

1
Q

Business Intelligence

A

Refers to tools and techniques for analyzing and visualizing past data

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2
Q

Advanced analytics

A

Refers to tools and techniques used to understand why something happened, predict future outcomes, or discover hidden patterns in large data sets

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3
Q

Business Analytics

A

The use of business intelligence and advanced analytics tools to enhance organizational decision making

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4
Q

Why do organizations need business intelligence and advanced analytics?

A

To respond to threats and opportunities

Big Data

Effective Planning is continuous

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5
Q

Big Data

A

A term for when

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6
Q

Characteristics of Big Data

A

High Volume
-Unprecedented amounts of data

High Variety

  • Structured Data: Fit neatly into spreadsheets or databases
  • Unstructured Data: Data such as audio and video data

High Velocity
-Rapid processing to maximize value

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7
Q

What are an organizations most valuable resources?

A

Data and knowledge

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8
Q

Advantages of databases

A

Minimal data redundancy

Improve data consistency

Increased security

Improve data quality

Improved data accessibility and sharing

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9
Q

Data Model

A

A map or diagram that represents entities and their relationships

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10
Q

Data Dictionary

A

A document prepared by database designers to describe the characteristics of all items in a database

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11
Q

Online Transaction Processing (OLTP)

A

Systems that interact with customers and run a business in real time

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12
Q

Data Warehouses

A

Integrate data from multiple database and other data sources – Contain historic as well as current data

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13
Q

Data Marts

A

Subset of a data warehouse, limited in scope

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14
Q

Operational System

A

Run the business on a current Support managerial decision basis

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15
Q

Information Systems

A

Support managerial decision making

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16
Q

Online Analytical Processing (OLAP)

A

Analyzing data in a complex form.

17
Q

Measures

A

Facts, numerical data that can be aggregated

18
Q

Dimensions

A

Ways to summarize data; Hierarchially arranged to enable drill-down and roll-up

19
Q

Cubes

A

A data structure allowing for multiple dimensions to be added to a traditional two-dimensional table

20
Q

Slicing and Dicing

A

Analyzing data on a subset of dimensions

21
Q

Visualization

A

Refers to the display of complex data relationships using a variety of graphical methods; Allows for a quick analysis

22
Q

Digital Dashboards

A

Used to visually present key performance indicators used by management; Highly aggregated form

23
Q

Visual Analytics

A

Visualanalyticsisthecombinationofvariousanalysistechniquesand interactive visualization to solve complex problems

24
Q

Data Mining & types

A

Discovers “hidden” predictive relationships in the data to better understand customers, product and markets.

Association Discovery
Clustering
Classification
Text and Web content mining

25
Q

Data Mining Results

A
Data can be delivered in a variety of ways:
Paper reports
digital dashboards
emails
Mobile devices
26
Q

Machine Learning

A

A branch of AI that allows systems to learn by identifying meaningful patterns when processing massive amounts of data

27
Q

Intelligent Systems

A

Artificial intelligence(AI)is the science of enabling information technologies to simulate human intelligence

28
Q

Intelligent agent

A

a program that works int he background to provide some service when a specific event occurs.

29
Q

Explicit knowledge

A

Easily codified and documented

30
Q

Tacit knowledge

A

Embedded in

people’s minds

31
Q

Social Network Analysis

A

Socialnetworkanalysisisatechniquethatmaps

people’s contacts to discover connections or missing links within the organization

32
Q

Geographic Information Systems

A

A geographic information system(GIS)is a system for creating, storing, analyzing, and managing geographically referenced information

33
Q

Foundation Concepts

A

Entity
-Something you collect data about

Tables
-A collection of related records in a database

Record
-Rows in the table

Attribut
-Column