Ch13 Business Intelligence And Data Warehouses Flashcards

1
Q

Define business intelligence

A

A comprehensive, cohesive, and integrated set of tools and processes used to capture, collect, integrate, store, and analyze data with the purpose of generating and presenting information used to support business decision making.

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2
Q

Decision support data differs from operational data in what three areas?

A

TIME SPAN - operational data has a short time span, decision support data has a long time span
DIMENSIONALITY - operational data focuses on few dimensions, decision support data focuses on many dimensions and the relationships between them
GRANULARITY - operational data has a low level of aggregation, decision support data has a high level of aggregation from highly summarized to near atomic.

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3
Q

Data warehouse design and implementation roadmap

A

Initial data gathering - interview key users
Design and mapping - design star schema
Loading and testing - load data, index data and validate data
Building and testing - build required queries and test interfaces and results
Rollout and feedback - roll out system

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4
Q

What is a star schema?

A

Data modelling technique that maps multidimensional decision support data into a relational database

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5
Q

A star schema contains what?

A

Facts
Dimensions
Attributes
Attribute hierarchies

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6
Q

Describe the four parts of a star schema

A

Facts - numerical measurements that represent business activity
Dimensions - characteristics that provide additional perspectives to facts
Attributes - search, filters, and classifies facts
Attribute hierarchies - a top down data organization that has two purposes: aggregation and data analysis.

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7
Q

What is a data warehouse?

A

A data warehouse is a dynamic framework for decision support. It is a critical component of the modern BI environment

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8
Q

What is a conformed dimension

A

A common dimension such as time that connects a star schema

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9
Q

What is data mining

A

Tools that help analyze data, uncover problems and opportunities, form computer models, and use those models to predict business behaviour.

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10
Q

Data mining’s function is to:

A

Automate the analysis of operational data

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11
Q

What are Metrics?

A

Facts computed at run time

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