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 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
MULTIDIMENSIONAL ANALYSIS AND DATA MINING
- Databases contain information in a series or 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
INFORMATION CLEANSING AND 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
BUSINESS INTELLIGENCE
- Business Intelligence - information that people use to support their decision-making efforts
- Principle BI enablers include :
↠ Technology
↠ People
↠ Culture
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