Info Systems in Business: Types, Roles & Value

What is an Information System (IS)?

An Information System (IS) is a combination of hardware, software, data, people, and processes that work together to collect, process, store, and distribute information to support decision-making and business operations.

Key Components of an IS

mindmap
  root((Information System))
    Hardware
      Computers, Servers, Networks
    Software
      Applications, OS, Databases
    Data
      Raw facts, Structured/Unstructured
    People
      Users, IT Staff, Managers
    Processes
      Workflows, Procedures, Policies

Why does this matter?

• Hardware (e.g., servers, smartphones) provides the physical infrastructure.
• Software (e.g., ERP, CRM) enables functionality.
• Data is the raw material for insights.
• People interact with the system (users, IT support).
• Processes define how work flows (e.g., order processing in Daraz).

Types of Information Systems

Businesses use different IS types based on their needs. Here’s a classification:

How Information Systems Add Value to Businesses

IS provides three key types of value:

1. Operational Excellence

• Automates repetitive tasks → Reduces errors, saves time.
• Example: NTC’s automated billing system replaces manual invoice processing, cutting costs by 30%.

2. New Products, Services, and Business Models

• Enables digital transformation (e.g., e-commerce, mobile banking).
• Example: Khalti created a digital payment ecosystem where merchants don’t need POS machines.

3. Customer and Supplier Intimacy

• CRM systems track customer preferences (e.g., Daraz recommends products based on past purchases).
• Supplier portals (e.g., Chaudhary Group’s vendor management system) improve supply chain efficiency.

4. Competitive Advantage

• First-mover advantage: Companies like Pathao used IS to dominate ride-hailing before competitors.
• Cost leadership: Nepal Telecom’s fiber-optic network reduced call drops via predictive maintenance.

## In the real world

1. eSewa’s Transaction Processing System (TPS)

   • How it works: When you pay a bill via eSewa, the system:
     • Validates your account → Checks fund availability → Deducts amount → Updates bank/NTC records.
   • IS Type: TPS (handles high-volume transactions securely).
   • Impact: Reduced manual errors in utility bill payments by 90%.

2. Daraz’s Decision Support System (DSS)

   • How it works: Daraz uses AI-driven demand forecasting to:
     • Predict which products will sell in Kathmandu vs. Pokhara.
     • Adjust inventory in real time (e.g., more umbrellas before monsoon).
   • IS Type: DSS (analyzes sales data to optimize stock).
   • Impact: Reduced out-of-stock losses by 40% in 2023.

3. Nabil Bank’s Executive Support System (ESS)

   • How it works: The bank’s dashboard shows:
     • Loan default rates by region.
     • Interest rate trends vs. competitors (e.g., Global IME).
   • IS Type: ESS (helps CEOs make strategic calls).
   • Impact: Guided the bank to launch low-interest loans in rural areas, increasing market share.

## Worked Example: Kathmandu Traffic Management System

Problem: Traffic jams in Kathmandu cost $1.5 billion/year in lost productivity. Solution: A smart traffic management system using:

• Sensors (on roads) → IoT devices → Central dashboard (MIS) → AI traffic lights (DSS).

flowchart TD
    A["Traffic Sensors"] -->|"Detect Congestion"| B["IoT Gateway"]
    B --> C["Central Server (MIS)"]
    C --> D["AI Traffic Controller (DSS)"]
    D --> E["Adjusts Light Timings"]
    E --> F["Reduces Jams by 30%"]

Real-World Application:

• Singapore’s SCMS (similar system) reduced travel time by 15%.
• Nepal’s pilot in Thapathali (2023) cut delays by 25% using this model.

## Evaluating Information Systems: The Porter-McKinsey Matrix

Not all IS projects succeed. Use this 3-step framework to assess value:

Example:

• Nepal Rastra Bank’s new cybersecurity system scored high on all three → Reduced fraud by 50%.
• A local bakery using Excel for orders scores low → Leads to stockouts.

## Case Study: Toyota’s Just-in-Time (JIT) System

How Toyota Uses IS for Operational Excellence:

1. TPS (Transaction Processing):
   • Barcode scanners track inventory in real time.
   • Automated alerts when stock is low.
2. DSS (Decision Support):
   • Predictive analytics forecast demand (e.g., more Prius in rainy season).
3. ESS (Executive Support):
   • Global dashboard shows factory efficiency across 30+ countries.

Result:

• 99.9% on-time delivery (vs. industry average of 95%).
• 30% lower inventory costs (no overstocking).

flowchart LR
    A["Supplier"] -->|"Raw Materials"| B["Toyota Factory (TPS)"]
    B --> C["Production Line"]
    C --> D["Barcode Scanner + RFID"]
    D --> E["DSS: Real-Time Demand"]
    E --> F["Adjust Production"]
    F --> G["Customer Delivery"]
    G -->|"Feedback Loop"| D

## Exam Tip

What Examiners Look For

1. Definitions with Examples
   • Don’t just define MIS; explain how Nabil Bank’s monthly sales report is an MIS.
2. Real-World Applications
   • Link theories to Nepali companies (e.g., "How does Daraz use DSS?").
3. Comparisons
   • Use tables to contrast TPS vs. MIS (as shown above).
4. Diagrams
   • Draw flowcharts for processes (e.g., eSewa payment flow).
5. Critical Evaluation
   • Discuss pros/cons (e.g., "ERP improves efficiency but is costly to implement").

Common Mistakes to Avoid

• ❌ Describing hardware/software in isolation (IS is about integration).
• ❌ Ignoring people/processes (e.g., "A CRM is just software" → Wrong! It’s about customer interactions).
• ❌ Vague answers (e.g., "IS helps businesses" → How? Give specific examples).

## Quick Revision Checklist

Before the exam, ensure you can: ✅ Define TPS, MIS, DSS, ESS and give Nepali examples. ✅ Explain how IS adds value (operational excellence, new products, customer intimacy). ✅ Draw a flowchart for a real-world process (e.g., Khalti payment). ✅ Apply the Porter-McKinsey Matrix to evaluate an IS (e.g., "Would a small hotel benefit from ERP?"). ✅ Discuss one case study (e.g., Toyota’s JIT or Daraz’s DSS).