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Thursday, September 15, 2016

CHAPTER EIGHT : ACCESSING ORGANIZATIONAL INFORMATION - DATA WAREHOUSE

DATA WAREHOUSE FUNDAMENTALS

Data warehouse – A logical collection of information – gathered from many different operational databases – that supports business analysis activities and decision-making takes

The primary purpose of a data warehouse is to combined information throughout an organization into a single repository for decision-making purposes – data warehouse support only analytical processing

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 warehouse then send subsets of the information to data mart.

Data mart – contains a subset of data warehouse information.




MULTIDIMENSIONAL ANALYSIS AND DATA MINING

Relational Database contains 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.
Also known as “knowledge discovery” – computer-assisted tools and techniques for sifting through and analyzing vast data stores in order to finds trends, patterns and correlations that can guide decision making and increase understanding

To perform data mining users need data-mining tools
-          Data-mining tool – uses a variety of techniques to finds patterns and relationships in large volumes of information. Eg: retailers and use knowledge of these patterns to improve the placement of items in the layout of a mail-order catalog page or Web page.

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

Occurs during ETL process and second on the information once if it is in the data warehouse

Contact information in an operational system


Standardizing Customer  name from Operational Systems



Information cleansing activities
-          Missing Records or Attributes
-          Redundant Records
-          Missing Keys or Other Required Data
-          Erroneous Relationships or References
-          Inaccurate Data


Accurate and complete information


BUSINESS INTELLIGENCE

Business Intelligence – refers to applications and technologies that are used to gather, provides access, analyze data and information to support decision making efforts


These systems will illustrate business intelligence in the areas of customer profiling, customer support, market research, market segmentation, product profitability, statistical analysis, and inventory and distribution analysis to name a few

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