Chapter 8: Accessing Organizational Information- Data Warehouse

Data Warehouse Fundamentals
- A logical  collection of information gathered from many different operational databases that supports business analysis activities and decision-making tasks.

- The primary purpose of a data warehouse is to aggregate information throughout an organization into a single repository for decision-making purposes.

Extraction, Transformation, and Loading (ETL)- a process that extracts information from internal and external databases, transforms the information using a common set of enterprise definitions, and loads the information into a data warehouse.

Data mart- contains a subset of data warehouse information.

Multidimensional Analysis and Data Mining
Data mining- the process of analyzing data to extract information not offered by the raw data alone

Data mining tool- uses a variety of techniques to find patterns and relationships in large volumes of information and infers rules that predict future behavior and guide decision making.


Information Cleansing or Scrubbing
- A process that weeds out and fixes or discards inconsistent, incorrect or incomplete information

Information cleansing cleans:
  • Missing records or attributes
  • Redundant records
  • Missing keys or other required data
  • Erroneous relationship or references
  • Inaccurate data

 Business Intelligence
- Information that people use to support their decision-making efforts

Principle of Business Intelligence:
  • Technology
  • People 
  • Culture

 

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