Monday, 24 August 2015

Chapter 8 : Acessing Organizational Information - Data Warehouse

DATA WAREHOUSE FUNDAMENTALS

- A data warehouse is a logical collection of information-gathered from many different operational database-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 in such a way that employees can make decisions and undertake business analysis activities.
- The data warehouse then send subsets of the information to data mart.
- A data mart contains a subsets of data warehouse information

*Figure above show compiles information from internal database or transactional database and external database through extraction, transformation and loading (ETL) which a process that extracts information from internal and external database, transforms the information using a common set of enterprise definitions, and loads the information into a data warehouse.

MULTIDIMENSIONAL ANALYSIS AND DATA MINING

- A cube is the common term for the representation of multidimensional information.
- Data Mining is the process of analyzing data to extract information not to offered by the raw data alone. It is known as 'knowledge discovery'
- To perform data mining user needs data mining tools 
- Data Mining Tools use a variety of techniques to find patterns and relationships in large volumes in information and infer rules from them that predict future behavior and guide decision making. 

INFORMATION CLEANSING OR SCRUBBING

- Information cleansing or scrubbing is a process that weeds out and fixes or discards inconsistent, incorrect or incomplete information.
- It occur during ETL process and second on the information once if is in the data warehouse

BUSINESS INTELLIGENCE

- Business Intelligence refers to application and technologies that are use to gather, provide access to, and analyze data and information to support decision-making efforts. 

Enabling Business Intelligence :

- Technology
- People
- Culture

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