Introduction

A Marketing Information System (MIS) is a set of procedures and methods designed to generate, analyze, disseminate, and store anticipated marketing decision information on a regular, continuous basis. It provides managers with the information they need to make informed marketing decisions.

According to Philip Kotler, a Marketing Information System consists of people, equipment, and procedures to gather, sort, analyze, evaluate, and distribute needed, timely, and accurate information to marketing decision makers.

Definition: MIS is a continuing and interacting structure of people, equipment, and procedures designed to gather, sort, analyze, evaluate, and distribute pertinent, timely, and accurate information for marketing decision-makers.

Components of a Marketing Information System

1. Internal Records System

Information gathered from sources within the organization.

  • Sales data: Orders, invoices, sales reports by product/region/customer
  • Financial data: Costs, revenues, profitability analysis
  • Customer data: Purchase history, preferences, complaints
  • Inventory data: Stock levels, turnover rates
  • Production data: Capacity, efficiency metrics

2. Marketing Intelligence System

Procedures and sources used to obtain everyday information about developments in the marketing environment.

  • Competitor monitoring: Tracking competitor activities, pricing, products
  • Industry publications: Trade journals, industry reports
  • Sales force intelligence: Information from field sales teams
  • Channel partners: Insights from distributors and retailers
  • Online monitoring: Social media, news, review sites

3. Marketing Research System

Systematic design, collection, analysis, and reporting of data relevant to specific marketing situations.

  • Primary research: Surveys, focus groups, experiments
  • Secondary research: Published reports, databases
  • Qualitative research: In-depth interviews, observation
  • Quantitative research: Statistical analysis, large-scale surveys

4. Marketing Decision Support System (MDSS)

Coordinated collection of data, systems, tools, and techniques to help marketers analyze data and make decisions.

  • Statistical tools: Regression, correlation, forecasting
  • Models: Pricing models, market share models
  • Optimization tools: Resource allocation, scheduling
  • Visualization: Dashboards, reports, charts
ComponentSourcePurposeFrequency
Internal RecordsInside companyTrack performanceContinuous
Marketing IntelligenceExternal environmentMonitor marketOngoing
Marketing ResearchPrimary/SecondarySolve specific problemsAs needed
Decision SupportAll sourcesAid decision-makingOn-demand

The MIS Process

Step 1: Assessing Information Needs

Identify what information marketing managers need to make decisions.

  • What decisions do you make regularly?
  • What information do you need to make these decisions?
  • What information do you currently get vs. what you want?

Step 2: Developing Information

Gather the required information from appropriate sources.

Step 3: Distributing Information

Deliver information to the right managers at the right time in the right format.

Step 4: Using Information

Apply information to marketing decisions and actions.


Benefits and Challenges

Benefits of MIS

  • Better and faster decision-making
  • Early warning of market changes
  • Competitive advantage through insights
  • Reduced uncertainty and risk
  • More efficient resource allocation
  • Improved customer understanding

Challenges

  • Cost of implementation and maintenance
  • Data quality and accuracy issues
  • Information overload
  • Resistance to data-driven decisions
  • Privacy and security concerns

Conclusion

Key Takeaways

  • MIS provides systematic information for marketing decisions
  • Four components: Internal Records, Intelligence, Research, Decision Support
  • Internal records come from within; intelligence monitors external environment
  • Marketing research addresses specific problems
  • Decision support systems help analyze data and make decisions
  • Effective MIS provides competitive advantage through better insights
  • Challenges include cost, data quality, and information overload

Special Thanks to Mr. Kavit Kaul, JBIMS batch of 2009 for sharing his marketing notes.