Friday, 18 March 2016

Chapter 8 . Accessing Organizational Information - Data Warehouse

History of Data Warehouse

  • Data warehouse extend the transformation of data into information.
  • In the 1990's, executives become less concerned with the day to day business operations and more concerned with overall business functions.
  • The data warehouse provided the ability to support decision making without disrupting the day-to-day operations.
Data Warehouse Fundamental
  • Data warehouse - a logical collection of information - gathered from many different operational databases - that support 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 data warehouse.
  • Data mart - contains a subset of data warehouse information.

Multidimensional Analysis and Data Mining
  • Databases contains information in a series of two-dimensional.
  • In a data warehouse and data mart, information is multidimensional, it contains layers of column and rows
  • Dimension - a particular attribute of information.
  • Cube - common term for the representation of multidimensional information.

  • Data mining - the process of analyzing data to extract information mot 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
  • An organization must maintain high quality data in the data warehouse.
  • Information cleansing or scrubbing - a process that weeds out and fixes or discards inconsistent, incorrect, or incomplete information.
  • contact information in an operational system

  • Standardizing customer name from operational systems

  • Information cleansing activities


  • Accurate and complete information

Business Intelligence
  • Business intelligence - information that people use to support their decision-making efforts
  • Principle BI enablers include :
    - Technology
    - People
    - Culture
  • Technology - BI software can do sophisticated analyses today that were unavailable to the largest organizations a generation ago.
  • People - BI allows organizations to systematically create insight and turn these insights into actions.
  • Culture - BI attitude flourishes in an organization depends in large part on the organization's culture.



T H E  E N D

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