System Analysis and Design: Business Analysis with Statistical analysis-Difference between Physical System and Abstract System
System Analysis and Design Business Analysis with Statistical analysis-Difference between Physical System and Abstract System
Great! Let’s break down your request into clear sections covering:
-
System Analysis & Design
-
Business Analysis with Statistical Analysis
-
Difference between Physical System and Abstract System
Contents
🧠 1. System Analysis & Design (SAD)
📌 Definition:
System Analysis and Design is a structured approach to building and improving systems — primarily in software engineering or information systems.
🔍 System Analysis:
-
Studies current processes.
-
Identifies problems and inefficiencies.
-
Defines functional requirements.
🛠 System Design:
-
Specifies how the system will meet the requirements.
-
Includes architecture, data flow, UI, and technology stack.
💼 2. Business Analysis with Statistical Analysis
📊 Business Analysis:
-
Focuses on identifying business needs and solutions.
-
May involve creating reports, process maps, and system requirement specifications.
📈 Statistical Analysis in Business:
-
Uses data (quantitative) to draw insights.
-
Common tools: Mean, Median, Standard Deviation, Regression, Forecasting.
➕ Example Use Case:
A business analyst studying customer churn uses statistical analysis to identify patterns like age group, purchase behavior, or region — which feeds into system design to improve user experience.
🏗️ 3. Difference Between Physical System and Abstract System
Feature | Physical System | Abstract System |
---|---|---|
Definition | A tangible, real-world system | A conceptual or logical system |
Nature | Concrete – made of people, hardware, etc. | Non-physical – models, theories, algorithms |
Example | Computer, Human Resource Department, ATM | Software algorithm, data model, flowchart |
Interaction | Can be seen, touched, and interacted with | Only mentally understood or digitally represented |
Used In | Manufacturing, IT Infrastructure | Planning, system modeling, simulations |
✅ Examples:
-
Physical System:
-
A car engine
-
Hospital equipment
-
Server farm
-
-
Abstract System:
-
A database schema
-
A business process model (BPMN)
-
A financial forecast model
-
🧠 Mnemonic Trick to Remember:
“Physical is Touchable, Abstract is Thinkable.”
Would you like:
-
A diagram comparing these systems?
-
A case study applying statistical analysis in SAD?
-
A quiz to test your understanding?
Let me know and I’ll provide it!