This document discusses data warehousing and data mining. It defines a data warehouse as a single store of consistent data from various sources made available to users. Data warehousing transforms data into useful information. It allows users to perform data mining to extract specific insights from large datasets. Some benefits include enhanced business intelligence, time savings, and historical analysis. Challenges include meeting user expectations, structuring data, high maintenance costs, and requiring database expertise.

1. Hetauda School of
Management
Presented By: Presented
To:
Sujal Upadhyay Prakash Datta
Bhatta
Data Warehousing
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2. Contents
 Introduction
 Benefits
 Challanges
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3. Which are our
lowest/highest margin
customers ?
Who are my customers
and what products
are they buying?
Which customers
are most likely to go
to the competition ?
What impact will
new products/services
have on revenue
and margins?
What product
promotions have the
biggest impact
on revenue?
What is the most
effective distribution
channel?
A producer wants to know….
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4. What is a Data Warehouse?
A single, complete and
consistent store of data
obtained from a variety of
different sources made
available to end users in a
what they can understand
and use in a business
context.
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5. What are the users saying...
• Summary data has a real
value to the organization
• Historical data holds the key
to understanding data over
time
• What-if capabilities are
required
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6. What is Data Warehousing?
A process of transforming
data into information and
making it available to
users whenever they
require.
Data
Information
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7.  It is used for data mining as well as
business decision making.
 Data mining is a process of extracting
data from data-warehouse as per the
requierment of user.
 A data warehouse consists of large
volume of data which are permanent.
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8. We want to know ...
 Given a database of 100,000 names, which
persons are the least likely to default on their
credit cards?
 Which of my customers are likely to be the
most loyal?
 What was the position of the company 20
years ago?
Data Mining helps to extract these
informations.
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9. Benefits
 A Data Warehouse Delivers Enhanced
Business Intelligence
 A Data Warehouse Saves Time
 A Data Warehouse Provides Historical
Intelligence
 Improved end-user access to a wide variety
of data
 Helps to know the status of any company or
organization
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10. Challanges
 User expectation
 Data structuring
 High maintenance
 May be unaffordable for small
companies
 Requires high level of database
knowledge
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11. References
 http://www.dwbiconcepts.com/dat
a-warehousing
 http://www.exforsys.com/tutorials/
data-warehousing
 http://www.wikipedia.com/
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