ERP

1. ERP RELATED TECHNOLOGIESERP RELATED TECHNOLOGIES
Prof.R.K.NADESH
SJT 310 / A26

4. Forerunners of ERP Systems
• MIS
• DSS
• EIS ( Executive Information System)

5. Business Process Reengineering(BPR)Business Process Reengineering(BPR)
• Dr.Michael Hammer
‘the fundamental rethinking and radical
redesign of business processes to achieve dramatic
improvements in critical, contemporary measures of
performance such as cost,quality,service and
speed”.

6. BPR (Seven Principles)

7. MIS (Management Information System)MIS (Management Information System)
• A computer based system that optimizes the collection,
collation, transfer and presentation of information
throughout an organization, through an integrated
structure of database and information flow.
• MIS is flexible and can be adapted to the changing
needs of the organization.

8. DSS(Decision Support System)
• DSS close Information Gap & allow managers to
improve quality of decisions
• H/W &S/W – Innovations,Planning & Forecasting
Models;4GL,AI
• DSS – Best Alternatives & Automatically
Ranking
• Addresses semi-structured and unstructured
problems
• Simulation Capabilities & Analytical Tool for
Decision Makers @ Top Level.

9. Executive Information System(EIS)
• Senior Level Executives
• How decision effect an entire organization
• Access to Outside Information
(Comptetitors,Governmental Regulations, Trade Groups etc..)
-> Vision & Mission
-> Strategic Planning & Objectives
-> Organizational Structure
-> Crisis Management / Contingency Planning

10. Data Warehousing
• Operational Data – DB - Lot of Problems
• Amount of Data increases – Affect the
system performances
• Archive operational data
• Operational data – Non-Operational Data

12. Data Mining
• DM is the process of identifying valid,novel,potentially
useful and ultimately comprehensive knowledge from
database that is use to make crucial business decisions.
• DM is sorting through data to identify patterns and
establish relationships. Data mining is a class of
database applications that look for hidden patterns in a
group of data that can be used to predict future behavior.
For example ; data mining software can help retail companies find customers with
common interest.

13. Data Mining – Contd…

14. ONON--LINE ANALYTICAL PROCESSING(OLAP)LINE ANALYTICAL PROCESSING(OLAP)
Fast Analysis of Shared MultiFast Analysis of Shared Multi--Dimensional InformationDimensional Information
•• FASTFAST - Targeted to deliver most responses to users within about 5 Seconds.
•• ANALYSISANALYSIS – Cope with any business logic & Statistical Analysis that is relevant for
the application and the user.
•• SHAREDSHARED - Implements all the security requirements for confidentiality
•• MULTIMULTI--DIMENSIONDIMENSION – Multi-Dimensional conceptual view of the data.
•• INFORMATIONINFORMATION – All of the data – Relevant for the application.

15. Supply Chain Management (SCM)