CHAPTER 8
ACCESSING ORGANIZATIONAL INFORMATION - DATA WAREHOUSE
History of Data Warehousing
•Data warehouses extend the transformation
of data into information
•
•In the 1990’s executives became 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 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
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
•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
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