Marketing Information System[Final]
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Transcript of Marketing Information System[Final]
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7/29/2019 Marketing Information System[Final]
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MKIS (MIS) is a set of procedures and
methods for the regular, planned collection,analysis and presentation of information foruse in marketing decisions
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AssessingInformation
Needs
Developing InformationInternalRecords MarketingIntelligence
MarketingResearch
DecisionSupport
Marketing Information System
DistributingInformation
Mark
etingManagers
Analysis,
Planning,
Implementation,
Co
ntrol
Marke
tingEnvir
onment
TargetMarkets
,MarketingChannels,Suppliers,
Competitors,P
ublics,MacroenvironmentForces
Kotlers Model of MKIS
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Reports on orders, sales, prices, costs, inventory levels,receivables, payables,
and so on
Order-to-payment cycle Sales analysis Databases, data warehouses, and data mining
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A set of procedures and sources used by managers toobtain everyday information about developments in the
marketing environment Sales force aseyes and ears Distributors, retailers, intermediaries Competitors products and activities News, publications, Internet etc
.
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The systematic design, collection, analysis, andreporting of data and findings relevant to a specific
marketing situation facing the company
Identifying marketing opportunities Evaluating of customer satisfaction, customer
attitudes and perception, purchase intention.
Market test for new products etc.
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A coordinated collection of data, systems, tools,and techniques with supporting software and
hardware by which an organization gathers andinterprets relevant information from business andenvironment and turns it into a basis formarketing action
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Data bank - raw data e.g. historical sales data,secondary data
Statistical bank - programmes to carry-out salesforecasts, spending projections
A model bank - stores marketing models e.g.
Ansoffs matrix, Boston Matrix Display unit - VDU and keyboard
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An understanding of the different roles managers playand how marketing information systems can supportthem in these roles An appreciation of the differenttypes and levels of marketing decision making
A knowledge of the major components of a marketinginformation system
An awareness of the often under-utilised internalsources of information available to enterprises
An ability to clearly distinguish between marketingresearch and marketing intelligence, and
An understanding of the nature of analytical modelswithin marketing information system.
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It is one of the areas that information systems have soughtmost of all to affect (with mixed success). Decision makingcan be divided into 3 types: strategic, management controland operations control.
Strategic decision making:This level of decision making is concerned with decidingon the objectives, resources and policies of theorganization. A major problem at this level of decision
making is predicting the future of the organization and itsenvironment, and matching the characteristics of theorganization to the environment. This process generallyinvolves a small group of high-level managers who deal
with very complex, non-routine problems.
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Management control decisions:
Such decisions are concerned with how efficiently
and effectively resources are utilized and how well
operational units are performing. Managementcontrol involves close interaction with those who
are carrying out the tasks of the organization; it
takes place within the context of broad policies and
objectives set out by strategic planners.
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Operational control decisions:
These involve making decisions about carrying out
the " specific tasks set forth by strategic planners
and management. Determining which units or
individuals in the organization will carry out the
task, establishing criteria of completion and
resource utilization, evaluating outputs - all of thesetasks involve decisions about operational control.
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Marketing modelsWithin the MIS there has to be the means ofinterpreting information in order to give direction todecision. These models may be computerized ormay not. Typical tools are:
Time series sales modes
Brand switching models
Linear programmingElasticity models (price, incomes, demand,supply, etc.)
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CONTD..Regression and correlation models
Analysis of Variance (ANOVA) models
Sensitivity analysisDiscounted cash flow
Spreadsheet 'what if models
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Market Monitoring
Strategy DevelopmentStrategy Implementation
Functional Integration
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