This document discusses data warehouses and decision support systems. It begins by introducing data warehouses and their characteristics, including that they integrate data from multiple sources, are subject-oriented, and store historical data. It then discusses decision support systems and their role in providing information and solutions to support business decisions. The document proposes a general structure for decision support systems that utilizes data warehouses, online analytical processing (OLAP) for interactive analysis, and data mining. It concludes that data warehouses form the database component of decision support systems and that OLAP and data mining are key technologies for data analysis and decision support.

1. Data warehouse
Enaam AlOtaibi 1460008
Norah AlHarbi 1460003
CPIS 620
Dr. Abdullah Alalmalaise

2. 1-INTRODUCTION
O In recent years, the computer technology
rapidly develops in the management.
O Computer use DSS in the enterprise's as an
intelligent management.
O Realizing decision support based on the
database technology.
O Database is widely applied in the society such
as : financial management system, MIS,
banking transaction system and so on ,which
are the typical database application
procedures.
O Now lives cannot leave the database, and
cannot leave the database application
procedure.

3. 2-DATA WAREHOUSE AND
DECISION SUPPORT SYSTEM
O Data Warehouse (DW)
O Decision Support System (DSS)

4. A-Data Warehouse
The concept of DW :
O DW is one organization form of data
storage.
O In the 80's intermediate period was early
proposed by IBM Corporation.
O In the 90's initial period famous DW expert
named W.H.Inmon described DW in its
work "Building DW" like the following:
Integrate, Subject Oriented, Non-Volatile.

5. A-Data Warehouse
Characteristics of Data Warehouse:
1. Face subject.
2. Integration.
3. Relatively stable.
4. Reflects the historical changes.

6. A-Data Warehouse
Data organization of
Data Warehouse:
O DW obtains the
primary data from
the traditional
database.
O in DW the logical
organization data is
composed of three
or four layers data
which is organized
by metadata .

7. B-Decision Support System
O DSS is a kind of computerized information
systems that support decision making
activities.
O DSS provides each kind of decision
information as well as solution of commercial
question for the enterprises.
O This paper proposes one kind of general DSS
skeleton:

8. 3-Design Of Decision Support
System
O There are two kinds of DSS views:
1. thinks so long as the system has certain
supports to the decisions is DSS“
2. thinks DSS is interactive computer-
based system which can help the
decision-maker using data and model to
solve non- structure question".

9. 3-Design Of Decision Support
System(cont.)
O The majority is not DSS because most of
them do not help to solve the non-
structure problems.
O Some are not interactive; some databases
become the model store house and they
are not entire

10. 3-Design Of Decision Support
System(cont.)

11. 3-Design Of Decision Support
System(cont.)
O OLAP permits analysis man browse DW
and carry on the multi-dimensional
analysis by interactive way and can
promptly propose information from
mutative data and not too complete data
the movement which relates with
enterprise management.

12. 3-Design Of Decision Support
System(cont.)
O DW does not like the traditional database
which faces the service level. It mainly
faces the high level application and
carries on the decisions support. Thus in
fact, it is expansion of DSS database.

13. 4-Conclusion
O Propose DSS compose of DW, OLAP,DM
.
O In DSS, the data analysis and decisions
main support technology is OLAP
technology and data mining technology.

14. References :
O Q.Han, X.Gao,Research of Decision
Support System Based on Data
Warehouse Techniques,2009.
O F.McFadden,Data Warehouse for EIS:
Some Issues and Impacits, 1996.

15. Thanks