ERP RELATED TECHNOLOGIESERP RELATED TECHNOLOGIES

Prof.R.K.NADESH SJT 310 / A26

Forerunners of ERP Systems

• MIS• DSS• EIS ( Executive Information System)

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”.

BPR (Seven Principles)

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.

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.

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

Data Warehousing

• Operational Data – DB - Lot of Problems• Amount of Data increases – Affect the

system performances • Archive operational data• Operational data – Non-Operational Data

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.

Data Mining – Contd…

ONON--LINE ANALYTICAL PROCESSING(OLAP)LINE ANALYTICAL PROCESSING(OLAP)

Fast Analysis of Shared MultiFast Analysis of Shared Multi--Dimensional InformationDimensional Information

•• FAST FAST - 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.

•• SHARED SHARED - 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.

Supply Chain Management (SCM)