enterprise resource planning-3

8/3/2019 Enterprise Resource Planning-3

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ENTERPRISE RESOURCEENTERPRISE RESOURCEPLANNINGPLANNING


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MANAGEMENT INFORMATIONMANAGEMENT INFORMATION

SYSTEM(MIS)SYSTEM(MIS)

y MIS is a computer based system that

optimizes the collection ,transfer and

presentation of information throughout

an organization, through an integrated

structure of databases and information

flow.


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Main Characteristics of the MISMain Characteristics of the MIS

y MIS supports the data processing

functions of transactional handling and

record keeping.

y MIS uses an integrated database and

supports a variety of functional areas.

y MIS is flexible and can be adapted to the

changing needs of the organization.


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DECISION SUPPORT SYSTEMDECISION SUPPORT SYSTEM

(D

SS)(D

SS)

y A Decision Support System (DSS) is

a class of information systems that

support business and organizational

decision-making activities.


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y A properly designed DSS is an interactive

software-based system intended to help

decision makers compile useful

information from a combination of raw

data, documents, personal knowledge, or

business models to identify and solveproblems and make decisions.


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Characteristics ofDSSCharacteristics ofDSS

y DSS is designed to address Semi-

structured and unstructured problems.

y DSS mainly support decision-making at

the top level of management.


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Some Types:Some Types:

y A communication-driven DSS

supports more than one person working

on a shared task; examples include

integrated tools like Microsoft'sNetMeeting.

y A data-driven DSS or data-oriented

DSS emphasizes access to andmanipulation of a time series of internal

company data and, sometimes, external

data.


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y A document-driven DSS manages,

retrieves, and manipulates unstructured

information in a variety of electronic

formats.

y A knowledge-driven DSS provides

specialized problem-solving expertisestored as facts, rules, procedures, or in

similar structures.

y A model-driven DSS emphasizesaccess to and manipulation of a statistical,

financial, optimization, or simulation

model.


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DATA WAREHOUSINGDATA WAREHOUSING

y A data warehouse is a repository

(collection of resources that can be

accessed to retrieve information) of an

organization's electronically stored data,designed to facilitate reporting and

analysis.


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y This definition of the data warehouse

focuses on data storage. The main source

of the data is cleaned, transformed and

cataloged and is made available to be used

by managers and other business

professional for data mining, marketresearch and decision support .


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DATA MININGDATA MINING

y Data mining is the process of extracting

patterns from data. Data mining is

becoming an increasingly important tool

to transform the data into information.

y Data mining commonly involves four

classes of tasks:

y Clustering - is the task of discoveringgroups and structures in the data that are

in some way or another "similar", without

using known structures in the data.


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y Classification - is the task of generalizing

known structure to apply to new data.

For example, an email program might

attempt to classify an email as legitimate

or spam.

y Regression - Attempts to find a functionwhich models the data with the least

error.

y

Association rule learning - Searches forrelationships between variables. For

example a supermarket might gather data

on customer purchasing habits.

enterprise resource planning-3

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