Marketing Info Systems & Research: Data-Driven Decisions

Core Concepts

1. Marketing Information System (MIS): The Data Backbone

Definition: A Marketing Information System (MIS) is a structured process that gathers, stores, analyzes, and distributes actionable marketing data to help managers make informed decisions. It integrates internal company data (sales, customer records) with external data (market trends, competitor actions).

How MIS Works

Components of MIS

Worked Example: NEPSE’s Investor Decisions NEPSE (Nepal Stock Exchange) uses MIS to:

1. Collect: Daily stock prices, investor sentiment (via social media).
2. Analyze: Identify trends (e.g., high demand for hydropower stocks).
3. Act: Release reports guiding investors (e.g., "Buy X, Sell Y").

2. Marketing Research: The Scientific Approach

Definition: Marketing research is the systematic gathering, recording, and analyzing of data about problems related to marketing goods/services. It answers:

• Who buys our product?
• Why do they buy it?
• How can we improve sales?

Steps in Marketing Research

flowchart LR
    A["1. Define Problem"] --> B["2. Develop Research Plan"]
    B --> C["3. Collect Data"]
    C --> D["4. Analyze Data"]
    D --> E["5. Present Findings"]
    E --> F["6. Take Action"]
    C --> C1["Primary Data: Newly collected (surveys, focus groups)"]
    C --> C2["Secondary Data: Existing (government reports, industry studies)"]

Types of Marketing Research

Worked Example: Daraz’s Product Placement Daraz wanted to know:

• Problem: Why do customers abandon carts?
• Method: Surveyed 5,000 users (primary data) + analyzed past purchase data (secondary).
• Finding: 60% abandoned due to high shipping costs.
• Action: Introduced "Free Shipping Over Rs. 1,500" → Cart abandonment dropped by 25%.

3. Data Sources: Primary vs. Secondary

When to Use Which?

• Use primary data for unique problems (e.g., testing a new product).
• Use secondary data for broad trends (e.g., "How many Nepalis use digital wallets?").

4. Ethical Considerations in Marketing Research

Key Ethical Issues:

1. Privacy: Unauthorized data collection (e.g., tracking user location without consent).
2. Bias: Leading questions in surveys (e.g., "Don’t you hate our competitor’s high prices?").
3. Misrepresentation: Falsifying data to support a preconceived conclusion.

Nepali Case: Ncell’s Data Scandal (2020)

• Issue: Ncell was accused of selling customer call logs to third parties without consent.
• Outcome: Regulatory fines and a public apology. Now, Ncell uses anonymized data for research.

In the Real World

1. eSewa’s Fraud Detection

   • Idea Used: Predictive Analytics (MIS component).
   • How: eSewa analyzes transaction patterns (e.g., sudden large payments) to flag fraudulent activities in real-time.
   • Impact: Reduced fraud cases by 40% in 2023.

2. Daraz’s Dynamic Pricing

   • Idea Used: Marketing Intelligence System (real-time competitor pricing).
   • How: Daraz adjusts prices based on stock availability and competitor actions (e.g., if a product is low in stock, prices rise slightly).
   • Impact: 15% increase in profit margins for high-demand items.

3. NTC’s Customer Satisfaction Index (CSI)

   • Idea Used: Descriptive Research (surveys).
   • How: NTC surveys 10,000 customers annually to measure satisfaction with call quality, billing, and service.
   • Impact: Led to the introduction of "NTC Helpline" with 24/7 support.

Exam Tip

How to Score Full Marks

1. Define Clearly:

   • Always start with precise definitions (e.g., "MIS is a structured system that...").
   • Example Answer Start:

     "A Marketing Information System (MIS) is an organized way of gathering, storing, analyzing, and distributing marketing information to help managers make better decisions. It integrates internal company data (e.g., sales reports) with external data (e.g., competitor actions)."

2. Use Diagrams:

   • Draw flowcharts for research steps or tables to compare primary/secondary data.
   • Example: In the exam, if asked about MIS components, sketch a 4-box flowchart (Internal Reports → Marketing Intelligence → Marketing Research → Analytical System).

3. Link to Nepal:

   • Always use local examples (Nabil Bank, Daraz, NTC) to illustrate concepts.
   • Example: For "predictive analytics," mention Pathao’s route optimization or Ncell’s churn prediction.

4. Case Study Approach:

   • If given a scenario (e.g., "A company wants to launch a new product"), structure your answer as:
     1. Problem: What’s the goal? (e.g., "Increase market share.")
     2. Method: What data will you collect? (e.g., "Survey 1,000 potential customers.")
     3. Analysis: How will you interpret it? (e.g., "Use regression to find price sensitivity.")
     4. Action: What will you do? (e.g., "Adjust pricing based on findings.")

5. Avoid Common Mistakes:

   • ❌ Saying "MIS is just collecting data." → Wrong: MIS includes analysis and action.
   • ❌ Confusing primary and secondary data. → Remember: Primary = new data; secondary = existing.
   • ❌ Ignoring ethics. → Always mention privacy/bias if asked about research limitations.

Practice Question with Model Answer

Question: "Explain the components of a Marketing Information System with the help of a suitable example from Nepal."

Model Answer: A Marketing Information System (MIS) consists of four key components:

1. Internal Reports System: Uses company data (e.g., Nabil Bank’s loan approval rates) to track performance.
2. Marketing Intelligence System: Gathers external data (e.g., Daraz monitoring competitor prices).
3. Marketing Research System: Conducts studies (e.g., NTC’s customer satisfaction surveys).
4. Analytical System: Applies tools like regression analysis (e.g., Pathao predicting peak ride times).

Example: Nepal Telecom (NTC) uses MIS to:

• Collect internal data (call drop rates, customer complaints).
• Gather external data (government telecom policies, competitor 4G speeds).
• Analyze trends (e.g., "Call drops increase by 30% during monsoons").
• Take action (e.g., upgrade towers in high-drop zones).

Quick Revision Table