CHAPTER 8: ACCESSING ORGANIZATIONAL INFORMATION – DATA WAREHOUSE

CHAPTER 8: ACCESSING ORGANIZATIONAL INFORMATION – DATA    

                       WAREHOUSE

Assalamualaikum...olla everyone..!tonight I would like to give new infomation for chapter 8.. :) 

DATA WAREHOUSE FUNDAMENTALS

·         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 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

Here a model that help to understand for data warehouse fundamentals

MULTIDIMENSIONAL ANALYSIS AND DATA MINING

·         Databases contain information in a series of two-dimensional tables

·         In a data warehouse and data mart, information is multidimensional, it contains layers of columns 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 not offered by the raw data alone

·         To perform data mining users need data-mining tools

–     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

For example:

Contact information in an operational system

Then, standardizing customer name from Operational Systems

 After that, it goes to information cleansing activities.

  

Lastly, the organization will get 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

THE END... :) thanks for reading my entry :)