CHAPTER 8: ACCESSING ORGANIZATIONAL INFOAMTION - DATA WAREHOUSE


  •  Data warehouse- a logical collection of information gathered from many different operational databases that supports business analysis activities and decision-making tasks.
  • The primary purpose of data warehouse is to aggregate information throughout an organization into a single repostory for decision-making purposes.

DATA WAREHOUSE FUNDAMENTALS

  • 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
  • Data mining-  the process of analyzing  data to extract information not offered by the raw data alone
  • To perform data mining users need data mining tools
  • Data mining tools- users a variety of techniques to find the patterns and relationships in large volumes of information and infers rules that predict future behaviour and guide decision making.
  • Databases cintain information in a series of two-dimensional tables
  • In a data warehouse and data mart, information is multimensional, it contains layers of columns and rows
Information Cleansing or Scrubbing
  • An organization must maintain high-quality data in the data warehouse
  • Information cleansing or scrubbing is a process that weeds out and fixes or discards inconsistent, incorect or incomplete information.
Multimensional Analysis and Data Mining
  • Cube - Common term for the representation of multimensional information.














BUSINESS INTELLIGENCE

  • Business Intelligence - information that people use to support their decision making efforts.
  • Principle BI enables include:
  1. Technology
  2. People
  3. Culture

Comments