Ch. 6 & 7 Flashcards

(33 cards)

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
Data Mining Results
``` Data can be delivered in a variety of ways: Paper reports digital dashboards emails Mobile devices ```
26
Machine Learning
A branch of AI that allows systems to learn by identifying meaningful patterns when processing massive amounts of data
27
Intelligent Systems
Artificial intelligence(AI)is the science of enabling information technologies to simulate human intelligence
28
Intelligent agent
a program that works int he background to provide some service when a specific event occurs.
29
Explicit knowledge
Easily codified and documented
30
Tacit knowledge
Embedded in | people’s minds
31
Social Network Analysis
Socialnetworkanalysisisatechniquethatmaps | people’s contacts to discover connections or missing links within the organization
32
Geographic Information Systems
A geographic information system(GIS)is a system for creating, storing, analyzing, and managing geographically referenced information
33
Foundation Concepts
Entity -Something you collect data about Tables -A collection of related records in a database Record -Rows in the table Attribut -Column