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Briefly explains the concept and types of information systems
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FOUNDATIONS OF INFORMATION SYSTEMS - Lesson 1 -
Angelina Njeguš, PhD Associate Professor at Singidunum University
Belgrade - Serbia, 2013
Prof. dr Angelina Njeguš
System Concept
Entity 1 Entity 2
Entity N Entity 3
System boundary
Environment
Input Output
Feedback
Prof. dr Angelina Njeguš
Data, Information, Knowledge, Wisdom
Source: Swindoll, 2011 (Available at: http://www.pursuant.com/blog/tag/dikw-model/)
Prof. dr Angelina Njeguš
Information Systems (IS)
Organised and integrated set of:
Data
Processes
Interfaces
Networks
Technologies
People
that are correlated in order to support
and improve everyday business
operations and decision making
Prof. dr Angelina Njeguš
Information Systems
Real life system
Information System
Prof. dr Angelina Njeguš
Basic IS Activities
Output
Input
Processing
Storage
Control
Source: O-Brien et al., 2010
Prof. dr Angelina Njeguš
Information Processing Cycle
Source: Morley et al., 2013
Prof. dr Angelina Njeguš
Types of Information Systems
Information Systems
Operations Information Systems
Transaction Processing
Systems
Business Process
Management Systems
Office and Collaboration
Systems
Business Intelligence Systems
Management Information
Systems
Decision Support Systems
Executive Information
Systems
Business Operations
Support
Decision making support
Systems for Process Modelling, Simulation, Execution, Control and
Optimisation
Processing Business Transactions
Prespecified Reporting for Managers (OLAP cubes,
Operational BI…)
Interactive Decision Support (Data
Mining method analysis ...)
Critical Information for Senior
Management (BSC, KPI, Strategic BI …)
Expert Systems Knowledge
Management Systems
Manage Organisational Knowledge (ITIL, ISO
Standards …)
Office and Team and Workgroup Collaboration
Systems
Specialised Information
Systems
Virtual Reality
3D Simulation of a Real or Imaginary Environment
(tool for communication, entertainment, and learning)
Emulates Expert Problem Solving
Geographic Information
Systems
Intelligent Maps
Prof. dr Angelina Njeguš
Types of Information Systems
Information Systems
Operations Information Systems
Transaction Processing
Systems
Business Process
Management Systems
Office and Collaboration
Systems
Business Intelligence Systems
Management Information
Systems
Decision Support Systems
Executive Information
Systems
Business Operations
Support
Decision making support
Systems for Process Modelling, Simulation, Execution, Control and
Optimisation
Processing Business Transactions
Prespecified Reporting for Managers (OLAP cubes,
Operational BI…)
Interactive Decision Support (Data
Mining method analysis ...)
Critical Information for Senior
Management (BSC, KPI, Strategic BI …)
Expert Systems Knowledge
Management Systems
Manage Organisational Knowledge (ITIL, ISO
Standards …)
Office and Team and Workgroup Collaboration
Systems
Specialised Information
Systems
Virtual Reality
3D Simulation of a Real or Imaginary Environment
(tool for communication, entertainment, and learning)
Emulates Expert Problem Solving
Geographic Information
Systems
Intelligent Maps
Prof. dr Angelina Njeguš
Operations Information Systems (OIS)
Organised set of:
─ hardware
─ software
─ databases
─ telecommunications
─ people
─ procedures
that are configured to:
─ collect
─ manipulate
─ store
─ process
data into information, and support an organisation’s day-to-day business activities
Any organised combination of …
Data
Processes
Policies and procedures
Interfaces Communi-
cation networks
Technologi-es
People
Prof. dr Angelina Njeguš
Operations Information Systems (OIS)
Support operational processes that constitute the core business and create the primary value stream
Typical operational processes are:
Finance
Manufacturing
Marketing
Human Resources ...
Source: Rosen, 2006
Prof. dr Angelina Njeguš
Transaction Processing Systems (TPS)
TPS collects, store, modify, and retrieve business trasactions
A transaction is an event that generates or modifies data that are stored in an information system
Any business-related exchange, such as payments to employees, sales to customers, payments to suppliers ...
Prof. dr Angelina Njeguš
Ways to Process Transactions
Batch processing
• Accumulate transactions over time and then process periodically
• Example: During the night, all
daily OLTP database changes are all at one time extracted, transformed, and loaded into the data warehouse
Online processing
• Process all transactions immediately
• Example: A bank system processes ATM withdrawals immediately
Prof. dr Angelina Njeguš
Some TPS features
The main purpose of the TPS is to ensure the consistency and integrity of data
For example: In case of e-payment amount must be withdrawn from one account and added to another. If transaction fails, than rolleback function deletes all data changes that have occurred since the beginning of the transaction.
Source: IBM, 2012
Prof. dr Angelina Njeguš
Some TPS features (cont.)
Transaction systems must be able to support a large number of concurrent users and transaction types For example: Multiple operators simultaneously access airline reservation
system. When one operator access, booking is locked until it is completed. Otherwise, another operator could access the same data and make double booking.
Prof. dr Angelina Njeguš
Types of Information Systems
Information Systems
Operations Information Systems
Transaction Processing
Systems
Business Process
Management Systems
Office and Collaboration
Systems
Business Intelligence Systems
Management Information
Systems
Decision Support Systems
Executive Information
Systems
Business Operations
Support
Decision making support
Systems for Process Modelling, Simulation, Execution, Control and
Optimisation
Processing Business Transactions
Prespecified Reporting for Managers (OLAP cubes,
Operational BI…)
Interactive Decision Support (Data
Mining method analysis ...)
Critical Information for Senior
Management (BSC, KPI, Strategic BI …)
Expert Systems Knowledge
Management Systems
Manage Organisational Knowledge (ITIL, ISO
Standards …)
Office and Team and Workgroup Collaboration
Systems
Specialised Information
Systems
Virtual Reality
3D Simulation of a Real or Imaginary Environment
(tool for communication, entertainment, and learning)
Emulates Expert Problem Solving
Geographic Information
Systems
Intelligent Maps
Prof. dr Angelina Njeguš
Business Process Management Systems
Business process is a collection of related, structured, and coordinated value-added activities that combine available resources (input) to produce a specific output (product or service)
For instance, the process of filling a customer order involves several related tasks.
Source: Interfacing, 2011
Prof. dr Angelina Njeguš
Business Process
A business process transforms inputs into outputs, according to guidance (business policies, standards, procedures, business rules, etc.) employing resources of all types
Input Output
Guidance
Resources
Prof. dr Angelina Njeguš
Examples of Business Processes
Accounting Business Processes:
– Accounts payable
– Accounts receivable
– Cash receipts
– Invoice billings ...
Finance Business Processes:
– Account collection
– Bank loan applications
– Business forecasts
– Customer credit approval and credit terms ...
Marketing Business Processes: – Customer satisfaction surveys
– Customer service contracts
– Customer compliant handling
– Sales order entry ...
Production/Operations Business Processes:
– Bill of materials
– Quality control for finished goods
– Packing, storage, and distribution
– Shipping and freight claims ...
Human Resources Business Processes:
– Disabilities employment policies
– Employee hiring policies
– Files and records management
– Health care benefits
– Pay and payroll
– Training/tuition reimbursement
– Workplase rules and guidelines ...
Source: Rainer et al., 2011
Prof. dr Angelina Njeguš
Why are BPM systems important?
Business processes are strategic assets of an organization that must be understood, managed, and improved to deliver value-added products and services to clients – the goal of BPM systems
Economics: globalization demands flexibility
Business processes: changing quickly, shrinking cycle times
Revenue growth: at the top of CEO agenda
Reusable assets: can cut costs
Business Process Reengineering (BPR) – continuous process improvement
Business process management (BPM) systems give organisations the flexibility to quickly respond to changes in the competitive environment
Prof. dr Angelina Njeguš
Business Process Management
Discover, document, automate, and continuously improve business processes to increase efficiency and effectiveness while striving for innovation, flexibility, and integration with technology
Prof. dr Angelina Njeguš
Types of Information Systems
Information Systems
Operations Information Systems
Transaction Processing
Systems
Business Process
Management Systems
Office and Collaboration
Systems
Business Intelligence Systems
Management Information
Systems
Decision Support Systems
Executive Information
Systems
Business Operations
Support
Decision making support
Systems for Process Modelling, Simulation, Execution, Control and
Optimisation
Processing Business Transactions
Prespecified Reporting for Managers
(Operational BI…)
Interactive Decision Support (Data
Mining method analysis ...)
Critical Information for Senior
Management (BSC, KPI, Strategic BI …)
Expert Systems Knowledge
Management Systems
Manage Organisational Knowledge (ITIL, ISO
Standards …)
Office and Team and Workgroup Collaboration
Systems
Specialised Information
Systems
Virtual Reality
3D Simulation of a Real or Imaginary Environment
(tool for communication, entertainment, and learning)
Emulates Expert Problem Solving
Geographic Information
Systems
Intelligent Maps
Prof. dr Angelina Njeguš
Office and Collaboration Systems
A suite of applications (Software packages) for creating, editing, and sharing text, spreadsheet, presentations and other documents in order to facilitate and speed up the daily office tasks, as well as mutual business communication
Prof. dr Angelina Njeguš
Collaboration Systems
Support communication, and coordination among teams and work groups over geographic distances
Depending on the level of collaboration, can be divided into three categories:
Communication tools - interchange of messages, files, data, or documents in order to facilitate the sharing of information
─ Examples: e-mail, voice mail, chat, Wikis, Web publishing ...
Conferencing tools - refers to interactive work toward a shared goal
─ Examples: Internet forums, online chat, Internet telephony, video conferencing, electronic meeting systems, Webcast ...
Collaborative management tools – facilitate and manage group activities
─ Examples: Time management software, Document Management Systems, Project management systems, Social software systems ...
Prof. dr Angelina Njeguš
Collaboration Systems
Prof. dr Angelina Njeguš
Collaboration Systems
Prof. dr Angelina Njeguš
Types of Information Systems
Information Systems
Operations Information Systems
Transaction Processing
Systems
Business Process
Management Systems
Office and Collaboration
Systems
Business Intelligence Systems
Management Information
Systems
Decision Support Systems
Executive Information
Systems
Business Operations
Support
Decision making support
Systems for Process Modelling, Simulation, Execution, Control and
Optimisation
Processing Business Transactions
Prespecified Reporting for Managers
(Operational BI…)
Interactive Decision Support (Data
Mining method analysis ...)
Critical Information for Senior
Management (BSC, KPI, Strategic BI …)
Expert Systems Knowledge
Management Systems
Manage Organisational Knowledge (ITIL, ISO
Standards …)
Office and Team and Workgroup Collaboration
Systems
Specialised Information
Systems
Virtual Reality
3D Simulation of a Real or Imaginary Environment
(tool for communication, entertainment, and learning)
Emulates Expert Problem Solving
Geographic Information
Systems
Intelligent Maps
Prof. dr Angelina Njeguš
Operational data
Information
Business Intelligence Systems
Set of tools and systems for gathering, extracting, storing, analyzing and translating business information into knowledge to support decision-making and improve overall business effectiveness
Knowledge workers
Prof. dr Angelina Njeguš
Operations vs BI systems
Prof. dr Angelina Njeguš
Decisions
Prof. dr Angelina Njeguš
Business Intelligence System
Prof. dr Angelina Njeguš
Decisions are based on
Prof. dr Angelina Njeguš
Why Business Intelligence?
• What happened?
• What is happening?
• Why did it happen?
• What will happen?
• What do I want to happen?
ERP CRM 3Pty SCM
Past
Present
Future
Data
Prof. dr Angelina Njeguš
Frontend tools
34
Prof. dr Angelina Njeguš
Decision structure
Prof. dr Angelina Njeguš
BI Pyramid
KPIs, Scorecards, Dashboards
OLAP, Mining, Forecasting
Management Reports
Detailed Operational Reports
INVOICES, SHIPPING DOCUMENTS, PICK LIST
SALES TOTALS, LEADS ANALYSIS, CLICK THROUGH RATIOS, BUDGETS
PERFORMANCE, PRODUCTION TIMES, CUSTOMER CHURN
METRICS
Complexity
Quantity
Executives, Top Managers
Professionals, Problem solvers, Middle manager
Front-line manager
Transactors
OPERATIONAL
TACTICAL
STRATEGIC
REAL TIME
Prof. dr Angelina Njeguš
Types of Business Intelligence Systems Operational BI: Management Information Systems (MIS)
Provides routine information to managers and decision makers
Primary focus is operational efficiency
Reports and displays
Example: daily sales analysis reports
Tactical BI: Decision Support Systems (DSS) Used to support problem-specific decision making
Focus is on decision-making effectiveness
Interactive OLAP and ad hoc decision support, data mining method analysis, predictive analytics
Example: where to spend advertising dollars
Strategic BI: Executive Information Systems (EIS) Critical information for executives and senior managers
Example: easy access to actions of competitors, BSC, KPI ...
Prof. dr Angelina Njeguš
Types of Information Systems
Information Systems
Operations Information Systems
Transaction Processing
Systems
Business Process
Management Systems
Office and Collaboration
Systems
Business Intelligence Systems
Management Information
Systems
Decision Support Systems
Executive Information
Systems
Business Operations
Support
Decision making support
Systems for Process Modelling, Simulation, Execution, Control and
Optimisation
Processing Business Transactions
Prespecified Reporting for Managers
(Operational BI…)
Interactive Decision Support (Data
Mining method analysis ...)
Critical Information for Senior
Management (BSC, KPI, Strategic BI …)
Expert Systems Knowledge
Management Systems
Manage Organisational Knowledge (ITIL, ISO
Standards …)
Office and Team and Workgroup Collaboration
Systems
Specialised Information
Systems
Virtual Reality
3D Simulation of a Real or Imaginary Environment
(tool for communication, entertainment, and learning)
Emulates Expert Problem Solving
Geographic Information
Systems
Intelligent Maps
Prof. dr Angelina Njeguš
Expert Systems (ES)
Field of Artifical Intelligence (AI)
AI focuses on the development and study of systems that support human behavior and intelligence (learning, understanding, problem solving, reasoning, knowledge, etc.)
The most important subdomains of AI are:
Natural Language Processing
Interpretation and processing of visual information and signals (Biometrics ...)
Robotics
Knowledge based systems or Knowledge Engineeering (Expert Systems ...)
Software Agents or Intelligent Agents
Machine Learning (Data Mining, Speech recognition, Text analysis ...)
Prof. dr Angelina Njeguš
Expert Systems
Simulate the knowledge, and reasoning process in solving complex problems and emulates the decision-making ability of an expert in order to arrive at the same conclusions as a human expert would
Expert in a specific field:
has a high-degree of knowledge, skill, and experience
Understands the problem and recognizes structured and typical problem-solving process
Has heuristic knowledge (resillience, good judgment ...)
Recognizes the fastest way to come up with the soultion ...
Some knowledge representation techniques are:
Rules: IF you are hungry THEN eat
Semantic nets: graph with logically connected nodes ...
Prof. dr Angelina Njeguš
ES Architecture
Source: Abacus, 2009
Prof. dr Angelina Njeguš
Types of Information Systems
Information Systems
Operations Information Systems
Transaction Processing
Systems
Business Process
Management Systems
Office and Collaboration
Systems
Business Intelligence Systems
Management Information
Systems
Decision Support Systems
Executive Information
Systems
Business Operations
Support
Decision making support
Systems for Process Modelling, Simulation, Execution, Control and
Optimisation
Processing Business Transactions
Prespecified Reporting for Managers
(Operational BI…)
Interactive Decision Support (Data
Mining method analysis ...)
Critical Information for Senior
Management (BSC, KPI, Strategic BI …)
Expert Systems Knowledge
Management Systems
Manage Organisational Knowledge (ITIL, ISO
Standards …)
Office and Team and Workgroup Collaboration
Systems
Specialised Information
Systems
Virtual Reality
3D Simulation of a Real or Imaginary Environment
(tool for communication, entertainment, and learning)
Emulates Expert Problem Solving
Geographic Information
Systems
Intelligent Maps
Prof. dr Angelina Njeguš
Geographic Information Systems
Source: Bisag, 2009.
Prof. dr Angelina Njeguš
Storing GIS Data for the Web
The steps of serving a map are:
Data are aggregated in a database
Data are transformed into an image using a rendering engine
The image is served through a map server
The main types of GIS data:
Vector data (points, lines, and polygons) are stored in tables as sets of geographic coordinates and attributes .
Raster data - collections of pixels that make up images
XML has become an important language for transferring geographic data over the internet
Open Geospatial Consortium (OGC) defined a Geography Markup Language (GML) standard
Source: Bisag, 2009.
Prof. dr Angelina Njeguš
GIS Applications
Source: Abukhater, 2011.
Prof. dr Angelina Njeguš
Types of Information Systems
Information Systems
Operations Information Systems
Transaction Processing
Systems
Business Process
Management Systems
Office and Collaboration
Systems
Business Intelligence Systems
Management Information
Systems
Decision Support Systems
Executive Information
Systems
Business Operations
Support
Decision making support
Systems for Process Modelling, Simulation, Execution, Control and
Optimisation
Processing Business Transactions
Prespecified Reporting for Managers
(Operational BI…)
Interactive Decision Support (Data
Mining method analysis ...)
Critical Information for Senior
Management (BSC, KPI, Strategic BI …)
Expert Systems Knowledge
Management Systems
Manage Organisational Knowledge (ITIL, ISO
Standards …)
Office and Team and Workgroup Collaboration
Systems
Specialised Information
Systems
Virtual Reality
3D Simulation of a Real or Imaginary Environment
(tool for communication, entertainment, and learning)
Emulates Expert Problem Solving
Geographic Information
Systems
Intelligent Maps
Prof. dr Angelina Njeguš
Knowledge Management Systems
IT-based systems developed to support, manage and enhance the organisational processes of knowledge creation, storage/retrieval, transfer, and application
Source: ITSM, 2008
Prof. dr Angelina Njeguš
Information Technology Infrastructure Library - ITIL Documented set of best practices for IT service management
(ITSM) that focuses on aligning IT services with the needs of business
ITSM is a discipline for managing IT systems
ISO/IEC 20000 standard - the first international standard for IT service management
ISO/IEC 20000 certification is an assessment of IT department as a means of showing that organization reached a level of maturity for services delivery
Prof. dr Angelina Njeguš
Best practises
Prof. dr Angelina Njeguš
Types of Information Systems
Information Systems
Operations Information Systems
Transaction Processing
Systems
Business Process
Management Systems
Office and Collaboration
Systems
Business Intelligence Systems
Management Information
Systems
Decision Support Systems
Executive Information
Systems
Business Operations
Support
Decision making support
Systems for Process Modelling, Simulation, Execution, Control and
Optimisation
Processing Business Transactions
Prespecified Reporting for Managers
(Operational BI…)
Interactive Decision Support (Data
Mining method analysis ...)
Critical Information for Senior
Management (BSC, KPI, Strategic BI …)
Expert Systems Knowledge
Management Systems
Manage Organisational Knowledge (ITIL, ISO
Standards …)
Office and Team and Workgroup Collaboration
Systems
Specialised Information
Systems
Virtual Reality
3D Simulation of a Real or Imaginary Environment
(tool for communication, entertainment, and learning)
Emulates Expert Problem Solving
Geographic Information
Systems
Intelligent Maps
Prof. dr Angelina Njeguš
Virtual Reality
3D simulation of a real or imaginary environment
Tool for communication, entertainment, and learning
Virtual Reality in Tourism can be used:
to recreate historic sites and events
to provide a means of protecting the fragile state of some heritage
to create virtual experiences (virtual tours) for tourists
to create virtual guides
for marketing, planning and management, entertainment, education, accessibility ...
Prof. dr Angelina Njeguš
Second Life I-Room
Virtual Space for Intelligent Interaction
Prof. dr Angelina Njeguš
Trends in Information Systems
Source: O’Brien, 2010
Prof. dr Angelina Njeguš
References
1. Swindoll, C. (2011) „Redefining Fundraising – Data“, Pursuant [Online]. Available at: http://www.pursuant.com/blog/tag/dikw-model/ (accessed: 1.11.2012)
2. O’Brien, J.A., Marakas, G.M. (2010) Introduction to Information Systems, McGraw-Hill Companies, Inc.
3. Rosen, S. (2006) „Information Systems in the Enterprise“, Santa Rosa Junior College [Online]. Available at:http://www.santarosa.edu/~srosen/CIS66/ch2notes.htm (accessed 2.11.2012)
4. IBM (2012) „Rolling back work“, IBM [Online]. Available at: http://publib.boulder.ibm.com/infocenter/dzichelp/v2r2/index.jsp?topic=%2Fcom.ibm.db2z10.doc.intro%2Fsrc%2Ftpc%2Fdb2z_rollbackwork.htm (Accessed, 2.11.2012)
5. Interfacing Technologies Corporation (2011) „What is Business Process Management (BPM)?“, ODESIA Co. [Online]. Available at: http://www.interfacing.com/Literature/what-is-bpm (accessed: 2.11.2012)
6. Rainer, R. K., Cegielski, C.G. (2011) Introducing to Information Systems: Enabling and Transforming Business, 3rd edition, Wiley & Sons, Inc.
7. Kaur, E.B, Kaur, E.S. (2012) „Overview of Intelligent Systems“, International Journal of Computing & Business Research.
8. Abacus (2009) „Artificial Intelligence Systems“, Abacus Programming Corporation. Available at: http://www.abacuscorp.com/artificial_intelligence_systems.htm (accessed: 7.11.2012)
9. IT Service Management (2008) „ITIL Service Management“. Available at: http://itservicemngmt.blogspot.com/2008/03/iso-20000-rediscovered.html (accessed 7.11.2012)
10. Morley, D., Parker, C. (2013) Understanding Computers: Today and Tomorrow, 14th Edition, Course Technology Cengage Learning, Boston, MA, USA.
11. Bisag (2009). Thrust Areas for Geo-informatics Applications. Bhaskaracharya Institute For Space Applications and Geo-Informatics. Available at: http://www.bisag.gujarat.gov.in/research.htm (accessed 16.07.2013)
12. Abukhater, A. (2011). GIS for Planning and Community Development: Solving Global Challenges. Directions Magazine. Available at: http://www.directionsmag.com/articles/gis-for-planning-and-community-development-solving-global-challenges/149245 (accessed 16.07.2013)
13. GISC (2013). Storing GIS Data for the Web. Available at: http://giscollective.org/tutorials/web-mapping/wmsfive/ (accessed 16.07.2013)