Global Info Systems: Types, Trends & Digital Transformation

What is an Information System (IS)?

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

Types of Information Systems

Information systems are categorized based on their function and level in an organization. The three primary types are:

How Information Systems Work in Business

1. Data Flow in an IS

Data moves through an IS in a cycle:

1. Input (collect raw data from sources like sensors, keyboards, or databases).
2. Processing (clean, transform, and analyze data).
3. Storage (save in databases or cloud storage).
4. Output (generate reports, dashboards, or alerts).
5. Feedback (users provide input for improvements).

flowchart TD
    A["Input: Raw Data"] --> B["Processing: Clean & Analyze"]
    B --> C["Storage: Databases/Cloud"]
    C --> D["Output: Reports/Dashboards"]
    D --> E["Feedback: User Input"]
    E --> A

Example: NTC’s Billing System

• Input: Electricity meter readings from households.
• Processing: Calculate consumption, apply tariffs, detect fraud.
• Output: Bills sent via SMS/email.
• Feedback: Customers report errors, NTC updates rates.

2. Digital Transformation & Emerging Trends

Digital transformation uses technology to fundamentally change business models. Key trends:

A. Artificial Intelligence (AI) & Machine Learning (ML)

• What it does: Automates decision-making (e.g., chatbots, fraud detection).
• Example in Nepal:
  • Khalti’s AI Chatbot – Handles customer queries 24/7 (e.g., "Where is my transaction?").
  • Pathao’s ML Algorithm – Optimizes driver routes to reduce wait times.

B. Internet of Things (IoT)

• What it does: Connects physical devices (sensors, machines) to the internet for real-time data.
• Example:
  • Toyota’s IoT in Factories – Sensors monitor assembly lines to predict maintenance needs.
  • Nepal’s Smart Grid Pilot (NTC) – IoT meters detect power theft and outages instantly.

C. Cloud Computing

• What it does: Stores and processes data on remote servers (scalable, cost-effective).
• Example:
  • Google Workspace – Used by Himalayan Java to manage remote teams and inventory.
  • Nepal Rastra Bank’s Cloud-Based KYC System – Stores customer verification documents securely.

D. Big Data & Analytics

• What it does: Analyzes large datasets to find patterns (e.g., customer behavior).
• Example:
  • Daraz’s Big Data – Predicts which products will sell in Kathmandu vs. Pokhara.
  • Ncell’s Chameleon App – Uses data to personalize offers (e.g., "Buy 1GB, Get 50% off").

3. Global Business & Information Systems

A. How IS Supports Globalization

**B. Case Study: Nepal Stock Exchange (NEPSE) & Digital Transformation

Problem: Traditional trading was slow, paper-based, and prone to errors. Solution: NEPSE adopted:

• Automated Trading System (ATS) – Real-time stock price updates.
• Blockchain for Transparency – Prevents fraud in share transfers.
• Mobile App for Investors – Tracks portfolio on the go.

Impact: ✅ 90% faster trades (from hours to seconds). ✅ Reduced errors by 80%. ✅ Increased investor trust with digital records.

In the Real World

1. eSewa’s Payment System

   • IS Type: TPS (Transaction Processing System)
   • How it works: When you pay a bill via eSewa, the system:
     • Takes your payment → Deducts from your wallet → Sends money to the service provider (e.g., NTC, Kathmandu Udlok).
     • Real-time processing ensures no double-charging.
   • Digital Trend Used: Mobile Banking API + Cloud Storage for secure transactions.

2. Pathao’s Driver-Dispatch System

   • IS Type: DSS (Decision Support System)
   • How it works: The app uses ML algorithms to:
     • Match nearest drivers to riders.
     • Predict surge pricing during traffic (e.g., after a festival).
   • Digital Trend Used: IoT (GPS tracking) + AI (demand forecasting).

3. Nabil Bank’s Loan Approval System

   • IS Type: EIS (Executive Information System) + DSS
   • How it works:
     • Input: Customer applies online → System checks credit score (from TransUnion CIBIL Nepal).
     • Processing: AI flags high-risk applicants → Manager reviews.
     • Output: Approval/rejection within 24 hours.
   • Digital Trend Used: Predictive Analytics (ML) + Cloud-Based CRM.

Exam Tip

How This Unit is Tested (TU Pattern)

1. Definitions & Differences (5-10 marks)

   • Expect questions like:
     • "Differentiate between TPS and DSS with examples."
     • "How does AI improve decision-making in Pathao?"
   • Tip: Memorize the table above and real-world examples.

2. Case Study Analysis (10-15 marks)

   • You’ll get a short case (e.g., "How does Daraz use IS for inventory?").
   • Structure your answer:
     1. Identify the IS type (e.g., DSS for demand forecasting).
     2. Explain the technology used (e.g., AI, cloud).
     3. Give a real-world impact (e.g., "Reduces overstocking by 30%").

3. Diagram-Based Questions (5 marks)

   • Draw a data flow diagram (like the one above for NTC).
   • Tip: Practice Mermaid flowcharts for processes.

4. Short Notes (2-5 marks each)

   • Topics:
     • "Role of IoT in smart cities (Nepal example)."
     • "How cloud computing helps SMEs like Himalayan Java."
   • Tip: Link every answer to Nepalese companies (e.g., NTC, Khalti, Daraz).