Information Systems & Business Intelligence – Exam Quick Review
- IS = interrelated components that collect, process, store & disseminate information for decision-making, coordination, control, analysis, visualisation.
- Data ➜ processed into information (e.g., checkout data ➜ total detergent sales).
Functions of an IS
- Input – capture raw data.
- Processing – convert to meaningful form.
- Output – deliver information to users/activities.
- Feedback – output returned to refine input.
Environmental Actors
- Competitors, Stockholders, Customers, Suppliers, Regulatory Agencies: each shapes IS requirements (innovation, efficiency, privacy, compliance, etc.).
Globalisation & Digital Firm
- Internet “flattens” world; firms need global reach & supply-chain optimisation.
- Digital firm: core processes & relationships digitally enabled (time-shift 24/7, space-shift global, real-time response, higher agility & profit).
Business Objectives Achieved with IS
- Operational excellence
- New products/services & business models
- Customer & supplier intimacy
- Improved decision making
- Competitive advantage
- Survival (legal/industry mandates)
IT Infrastructure Components
- Computer hardware platforms (PCs, servers, I/O, storage)
- Operating system platforms (Windows, macOS, Linux, iOS, Android)
- Enterprise software platforms (ERP, CRM, SCM)
- Data management platforms (DBMS: MySQL, SQL Server, Oracle)
- Networking & Internet platforms (LAN/WAN, TCP/IP, web servers)
- Technology services (consulting, system integration)
Evolution & Hardware Trends
- Mainframe/Minicomputer (1959– )
- Personal Computer (1981– )
- Client/Server (1983– )
- Enterprise Computing (1992– )
- Cloud & Mobile (2000– )
Emerging: mobile platforms, BYOD, IoT, grid computing, virtualisation.
Porter’s Five Forces & IS Impact
- Traditional competitors – IS lowers cost, raises quality.
- New entrants – digital tech lowers barriers.
- Substitutes – IS enables differentiated offerings.
- Customer power – information transparency shifts power; IS supports loyalty & customisation.
- Supplier power – e-procurement & SCM increase bargaining strength.
Business Intelligence (BI) Overview
- BI = processes & technologies turning data into insights for strategic, tactical, operational decisions.
- Structured data ≈ 20% of enterprise data; unstructured ≈ 80% (images, audio, email, etc.).
- Spreadsheets (Excel, Sheets)
- Reporting software
- Data visualisation (Tableau, Power BI)
- Data mining & machine learning
- OLAP (multidimensional analysis)
- Data: raw, unprocessed facts.
- Information: processed data with context (answers who/what/where/when/how).
- Knowledge: insights & expertise applied to decisions.
BI Process to Actionable Knowledge
- Collection & integration: consolidate internal/external sources, ensure quality.
- Transformation & analysis: modelling, statistics, ML to find patterns/outliers.
- Visualisation & reporting: interactive dashboards, charts for quick insight.
- Ad-hoc querying: self-service exploration, drill-down.
- Decision support & forecasting: what-if analysis, predictive models, collaboration.
- Monitoring & alerting: real-time KPI tracking with automated notifications.