Mis Presentation Final

7/27/2019 Mis Presentation Final

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PRASANTA KUMAR SUNA

PRAVEEN KUMAR

RAHUL KUMAR SHARMA

RAJEEV RATAN SHARMA

RAJESH KUMAR

RAJNEESH RANJAN

RAJU KUMAR

SANDEEP KISHORE KUJUR

SANJAY KUMAR SINGH

SATYENDRA KUMAR


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Data: Flow of captured events or transactions

Information: Data organized into categories of

understanding

Knowledge: Concepts, experience, and insight that

provide a framework for creating, evaluating, and

using information. Can be tacit (undocumented) orexplicit (documented)

Data, Information and Knowledge:


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Organizational learning: Adjusting business

processes and patterns of decision making to

reflect knowledge gained through information

and experience gathered

Organizational Learning


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Knowledge Management

The system and managerial approach to

collecting, processing, and organizing

enterprise-specific knowledge assets forbusiness functions and decision making.


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What is knowledge management

system?? A management information system serves the

functions of planning, controlling, and decision makingby providing routine summary and exception reports.

A decision-support system combines data andsophisticated analytical models or data analysis tools tosupport semi structured and unstructured decisions.

Knowledge management systemsare systems that

support the creation, capture, storage, anddissemination of firm expertise and knowledge.


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Knowledge acquisition

Knowledge storage

Knowledge dissemination

Knowledge application

Building organizational and management capital:collaboration, communities of practice, and officeenvironments

The Knowledge Management Value Chain


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Tools for Knowledge Management

1 Data base management tools

2 Data warehousing, Data mart and Data mining tools

3 Process modeling and Management tools

4 Work flow management tools5 Search engine tools

6 Document management tool

7 Web based tools


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Knowledge Management System

Architecture

Communication service

Storage service

Back bone layer

Data storage layer

Information storage layer

Analysis serviceKnowledge

creation/InformationAnalysis layer

Distribution applicationservice layer

Transport Service

Presentation Service

Transport Layer

Security layer

User interface layer


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Driving forces behind KM

External forces-

Globalization of business

Demanding customers Innovative competitors

Resourceful vendors


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Driving forces behind KM

Internal Forces-

Bottlenecks in effectiveness

Technological capabilities Understanding of human cognitive functions


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Key aspects of Knowledge management

Accelerating Knowledge creation and

application.

Converting tacit into Knowledge.

Build knowledge Assets-IC


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Misconceptions about KM

KM is an additional function and a high overhead.

KM require substantial investment in hardware and software.

Information set, once declared as knowledge, persists forever.

Knowledge has to be secret and can not be shared. It is a secret

formula, process. It should be with one or two personnel called

as confidential and should be stored in an inaccessible place.


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Misconceptions about KMPeople do not like to share knowledge, more so the knowledge

which gives them power in organization.

Knowledge once created, its use is automatic straight with

assured benefits.

KM leads to more additional work.

Knowledge is an analytical information, processed for specificgoal.


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Knowledge based Expert System (KBES)

Knowledge based expert system is an approach

towards solving problem in different situations on

the basis of stored knowledge database through

reasoning process by inference mechanism.

Characteristics:

1. Contain stored knowledge base.

2. Solve problems like humans.

3. Intelligent information processing systems.


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Basic independent components of KBES:

e BaseUser Control Mechanism

Knowledge Base Inference Mechanism

1. User control mechanism control entire processing mechanism by

using Knowledge base and guiding the Inference process.2. Knowledge base consisting of rules, formulas, facts, experience

etc.

3. Inference Mechanism is a tool to interpret the knowledge available

and to perform logical action in given situation.


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Method of Knowledge Based Expert

system

1. Semantic Network

2. Frames

3. Rules


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Semantic network

Knowledge is represented on the principle of

predicate functions and the symbolic data

structure which have meaning built into it are

semantic.

A network of notes and arcs connecting the

notes.


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Frames

To put the related knowledge in one area in an

organized data structure of a knowledge.

It consists of the slots representing a part of theknowledge.

Each slot form of data has a value and

expressed in the form of data information,process and rules


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Frame -: Engine over heating

Temperature more than 80 degree

Water boiling

Speed retardation

Slot :Symptomvalue

Check water level

Check oil engine

Check carburetor

Slot: InspectionValue

Stop engine and drain water Start engine and pour cold water

Increase oil level

Adjust carburetor

Slot :Treatmentvalue


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Rules

Method of representing the knowledge is rule

based.

A rules is a conditional statement of an action

that supposed to take place, under certain

condition ,that is If-Then

Eg. If an item is made of tungsten carbide.

Then the item is excisable


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Approaches to KM

Knowledge is intangible, dynamic, anddifficult to measure, but without it no

organization can survive.

Tacit: or unarticulated knowledge is morepersonal, experiential, context specific, and

hard to formalize; is difficult to communicate

or share with others; and is generally in the

heads of individuals and teams.

Explicit: explicit knowledge can easily be

written down and codified.


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Barriers at four different locations

KMS become successful in the organization when developers andusers recognize and appreciate the barriers in the systemimplementation. The barriers however loose the strength whencompetitive processes force organization to come out to these

barriers.

People In the organization

Resistance to change

Lack of motivation to learn

Turnover of people

Resistance to share knowledgeOrganization structure

Complex, distributed, based on different principles of structuringposing in storing, distribution sharing and security.


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Contd

Management of the organization

Ego problem

Loss of power of possession

Fear of loosing to competition

Knowledge itself

Decision on specific knowledge to declare it as a

general knowledge Unanimity in coding, classifying and storing of

knowledge


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MIS and KM

Knowledge is a result of putting different informationsets together and analyzing them, and viewing them in

particular manner. Information has a surprise valuewhile knowledge provides a vision to solve the problem

or understand the upcoming scenario. Data processing, transaction processing, application

processing systems will give different information sets.KMS on processing these information sets, first will

give and explicit knowledge. Further application of theexplicit knowledge over a period to solve the problemcreates a tacit knowledge.


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Contd.

Modern MIS not only should provide informationbut also support management by providingknowledge necessary at all levels for criticaldecisions. A knowledge generating KMS is now a

part of MIS suite. The traditional business model make and sale

changed to sense and respond as customerbecome more knowledgeable. for sense and

respond model only information is not adequatewhat is required is a knowledge, an ability toforecast the problem expectations.


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KM Software Tools

Globalserve

Knowcorp

Hyperknowledge

MicroStrategy

The Molloy Group

KnowledgeX Inc.

WebFarming.com

Softlab Enabling Tools

Imagination

Excalibur

Technologies

Imaging Solutions

Grapevine

Technologies

Intraspect Software

Milagro: The Power

of Imagination


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Documents

Mis Presentation Final