This document discusses data warehouses and their role in business intelligence. It defines a data warehouse as a logical collection of information gathered from different operational databases that supports business analysis and decision making. The primary purpose is to aggregate organizational data into a single repository. It also discusses extracting, transforming, and loading data; data marts; multidimensional analysis; data mining; information cleansing; and how business intelligence relies on technology, people, and culture.

1. Business Driven
Technology
Unit 2
McGraw-Hill/Irwin Copyright © 2013 by The McGraw-Hill Companies, Inc. All rights reserved.
Exploring Business
Intelligence

2. Unit Two
O Chapter Six – Valuing Organizational
Information
O Chapter Seven – Storing Organizational
Information – Databases
O Chapter Eight – Accessing
Organizational Information – Data
Warehouse
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3. Chapter 08
Accessing Organizational
Information – Data Warehouse
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4. LEARNING OUTCOMES
1. Describe the roles and purposes of data
warehouses and data marts in an
organization
2. Explain the relationship between business
intelligence and a data warehouse
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5. History of Data Warehousing
O Data warehouses extend the
transformation of data into
information
O In the 1990’s executives became
less concerned with the day-to-day
business operations and more
concerned with overall business
functions
O The data warehouse provided the
ability to support decision making
without disrupting the day-to-day
operations
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6. Data Warehouse Fundamentals
OData warehouse – a logical
collection of information – gathered
from many different operational
databases – that supports business
analysis activities and decision-
making tasks
OThe primary purpose of a data
warehouse is to aggregate
information throughout an
organization into a single repository
for decision-making purposes 8-6

7. Data Warehouse Fundamentals
OExtraction, 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
OData mart – contains a subset of data
warehouse information
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8. Data Warehouse Fundamentals
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9. Multidimensional Analysis
and Data Mining
O Databases contain information in a
series of two-dimensional tables
O In a data warehouse and data mart,
information is multidimensional, it
contains layers of columns and rows
O Dimension – a particular attribute of
information
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10. Multidimensional Analysis
and Data Mining
O Cube – common term for the representation of
multidimensional information
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11. Multidimensional Analysis
and Data Mining
O Data mining – the process of
analyzing data to extract information
not offered by the raw data alone
O To perform data mining users need
data-mining tools
O 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
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12. Information Cleansing or
Scrubbing
O An organization must maintain high-
quality data in the data warehouse
O Information cleansing or scrubbing
– a process that weeds out and fixes or
discards inconsistent, incorrect, or
incomplete information
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13. Information Cleansing or
Scrubbing
O Contact information in an operational system
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14. Information Cleansing or
Scrubbing
O Standardizing Customer name from Operational
Systems
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15. Information Cleansing or
Scrubbing
O Information cleansing activities
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16. Information Cleansing or
Scrubbing
O Accurate and complete information
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17. Business Intelligence
O Business intelligence – information that
people use to support their decision-
making efforts
O Principle BI enablers include:
O Technology
O People
O Culture
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18. LEARNING OUTCOME
REVIEW
ONow that you have finished the
chapter please review the learning
outcomes in your text
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