1. Data Warehousing Data Model –Part 1
Resume Tracker
Data Warehousing Data Model –Part 1
Interactive Warehouse
Copyright © 2003 HP corporate presentation. All rights reserved.

2. Copyright © 2003 HP corporate presentation. All rights reserved.
Decision Support System (DSS) Overview
1/14/2019
Copyright © 2003 HP corporate presentation. All rights reserved.

3. Copyright © 2003 HP corporate presentation. All rights reserved.
Decision Support Systems (DSS)
What is DSS?
Need for DSS
Comparison of OLTP & DSS
Transition from Data Processing to Information Processing
1/14/2019
Copyright © 2003 HP corporate presentation. All rights reserved.

4. Copyright © 2003 HP corporate presentation. All rights reserved.
What is DSS?
Decision Support Systems (DSS) are interactive computer-based systems intended to help decision makers utilize data and models to identify and solve problems and make decisions.
Data Warehouse is the foundation of DSS process. It is a Strategy and a Process for Staging Corporate Data.
Enable users to get a “Business View” of the data
Facilitate Data based Decision Making that would drive and improve the Business
Discover “Hidden Trends”
1/14/2019
Copyright © 2003 HP corporate presentation. All rights reserved.

5. Copyright © 2003 HP corporate presentation. All rights reserved.
Driving Forces for DSS
Changes in the Business Environment
Business Speed
Reform
Customers
RESULT:
COMPETITION
Technology
Contd.
1/14/2019
Copyright © 2003 HP corporate presentation. All rights reserved.

6. Copyright © 2003 HP corporate presentation. All rights reserved.
Driving Forces for DSS
Utilization of Data as Asset and Knowledge
Information Filtering and Utilization on WWW
1/14/2019
Copyright © 2003 HP corporate presentation. All rights reserved.

7. Why DSS?: How to answer these Business Queries?
What is the sales distribution region wise?
How did my revenue improve in the past 5 years?
What are the slow movers
in my product line?
Which channel costs me more and pays less?
Which of my Sales Agents
are doing better?
Strategic Planning / Budgeting
What is Defaulter’s Profile?
Currency Risk, Interest Rate Risk, Liquidity Risk
Who are my profitable customers?
Contd.
1/14/2019
Copyright © 2003 HP corporate presentation. All rights reserved.

8. Copyright © 2003 HP corporate presentation. All rights reserved.
Why DSS?: Scenario without DSS
Unavailability of Tools and Techniques for acquisition of data from various sources for answering business questions and making decisions, in earlier days
Intensive efforts in data formatting than data analysis
Static and inflexible report generation
Time-lag in accessing the information at central place
Contd.
1/14/2019
Copyright © 2003 HP corporate presentation. All rights reserved.

9. Copyright © 2003 HP corporate presentation. All rights reserved.
Why DSS?: Why not OLTP?
DSS queries can adversely impact On-Line Transaction Processing (OLTP) system
Constantly changing state of OLTP systems makes replication of result-set difficult
End-users must write database-specific access logic to access OLTP data
Data in OLTP systems are rarely quality assured for DSS analysis
OLTP systems may not store data over 90 days making temporal comparisons difficult
1/14/2019
Copyright © 2003 HP corporate presentation. All rights reserved.

10. Copyright © 2003 HP corporate presentation. All rights reserved.
OLTP v/s DSS Environment
OLTP Environment
get data IN
large volumes of simple transaction queries
continuous data changes
low processing time
mode of processing
transaction details
data inconsistency
mostly current data
DSS Environment
get information OUT
small number of diverse queries
periodic updates only
high processing time
mode of discovery
subject oriented - summaries
data consistency
historical data is relevant
Contd.
1/14/2019
Copyright © 2003 HP corporate presentation. All rights reserved.

11. Copyright © 2003 HP corporate presentation. All rights reserved.
OLTP v/s DSS Environment
OLTP Environment
high concurrent usage
highly normalized data structure
static applications
automates routines
DSS Environment
low concurrent usage
fewer tables, but more columns per table
dynamic applications
facilitates creativity
1/14/2019
Copyright © 2003 HP corporate presentation. All rights reserved.

12. Benefits for Business User
Flexible Information Access
High Availability
Ease of Use
Quality & Completeness of Data
Focus on Information Processing
Information Base for Knowledge Discovery
1/14/2019
Copyright © 2003 HP corporate presentation. All rights reserved.

13. Copyright © 2003 HP corporate presentation. All rights reserved.
Classification of Business Users
Executives/Managers
Multi-dimensional analysis, reporting tools
Knowledge Worker
Ad hoc queries, detail & summary data, application focus
Power-Analyst
Ad hoc queries, Data Analysis & Data Mining
Customer Contacts
Detail Data at specific levels
Contd.
1/14/2019
Copyright © 2003 HP corporate presentation. All rights reserved.

14. Heterogeneous Data Sources
Transition from Data Processing to Information Processing
Business Objectives & Goals
Application Domains and Business Functions
B U S I N E S S E L E M E N T S
T R A C E AB I L I T Y
Query Processing
Report
Generation
T R A C E AB I L I T Y
Operational
Data
Store
(ODS)
OLAP/
Query
Tools
Enterprise
Data Warehouse
OLAP
Appl.
Data Mart A
Data Mart B
Data Mart N
Appl. Spec.
Analysis
KNOWLEDGE
DISCOVERY
Data Mining
Applications
MANAGEMENT
Heterogeneous Data Sources
Feed Systems and External Sources
D A T A E L E M E N T S
Management Decision: Value Chain
Data Processing
Information Processing
Knowledge Processing
1/14/2019
Copyright © 2003 HP corporate presentation. All rights reserved.

15. Copyright © 2003 HP corporate presentation. All rights reserved.
Volatility of Data
Volatile
Non-Volatile
Insert
Change
Access
Delete
Insert
Load
Change
Access
Record-by-Record Data Manipulation
Mass Load / Access of Data
Transactional Storage
Data Warehouse Storage
1/14/2019
Copyright © 2003 HP corporate presentation. All rights reserved.

16. Copyright © 2003 HP corporate presentation. All rights reserved.
Time Variant Data Analysis
Current Data
Historical Data
Transactional Storage
Data Warehouse Storage
1/14/2019
Copyright © 2003 HP corporate presentation. All rights reserved.