This document is a chapter from a computer concepts textbook. It discusses information systems analysis and design. The chapter covers topics like transaction processing systems, management information systems, decision support systems, expert systems, the systems development life cycle, systems analysis, system design, implementation, maintenance, and corporate data security. It provides an overview of these key aspects of analyzing, designing, developing, implementing and maintaining information systems within organizations.
Decision Support SAs companies migrate toward responsive e-business models, they are investing in new
data-driven decision support application frameworks that help them respond rapidly to
changing market conditions and customer needs.
To succeed in business today, companies need information systems that can support
the diverse information and decision-making needs of their managers and business
professionals. In this section, we will explore in more detail how this is accomplished
by several types of management information, decision support, and other information
systems. We concentrate our attention on how the Internet, intranets, and other
Web-enabled information technologies have significantly strengthened the role that
information systems play in supporting the decision-making activities of every manager
and knowledge worker in business system.One way to understand decision making is to look at decision structure. Decisions made
at the operational management level tend to be more structured, those at the tactical level
are more semistructured, and those at the strategic management level are more unstructured. Structured decisions involve situations in which the procedures to follow, when a
decision is needed, can be specified in advance. The inventory reorder decisions that
most businesses face are a typical example. Unstructured decisions involve decision situations in which it is not possible to specify in advance most of the decision procedures to
follow. Most decisions related to long-term strategy can be thought of as unstructured
(e.g., “What product lines should we develop over the next five years?”). Most business
decision situations are semistructured; that is, some decision procedures can be prespecified but not enough to lead to a definite recommended decision. For example, decisions
involved in starting a new line of e-commerce services or making major changes to employee benefits would probably range from unstructured to semistructured. Finally, decisions that are unstructured are those for which no procedures or rules exist to guide the
decision makers toward the correct decision. In these types of decisions, many sources of
information must be accessed, and the decision often rests on experience and “gut feeling.” One example of an unstructured decision might be the answer to the question,
“What business should we be in 10 years from now?” Figure 10.4 provides a variety of
examples of business decisions by type of decision structure and level of management
James A. O'Brien, and George Marakas. Management Information Systems with MISource 2007, 8th ed. Boston, MA: McGraw-Hill, Inc., 2007. ISBN: 13 9780073323091
The document discusses various topics related to building information systems, including:
1. The core problem-solving steps for developing new information systems are to define the problem, develop alternative solutions, evaluate and choose a solution, and implement the solution.
2. There are alternative methods for building information systems, such as the traditional systems development lifecycle, prototyping, end-user development, and purchasing application software packages.
3. Principal methodologies for modeling and designing systems include structured methodologies, object-oriented development, data flow diagrams, and process specifications.
The document discusses analyzing systems using data flow diagrams (DFDs). It explains that DFDs are a key method for analyzing data-oriented systems by graphically representing how data moves through an organization. The data flow approach has advantages over narrative explanations, including freedom from early technical commitments and better communication with users. Physical DFDs show how a system will be implemented and include details like manual vs automated processes. Structured analysis techniques are used to model system processes and document data flows and stores.
The document discusses the systems development life cycle for accounting information systems. It describes the key stages as systems planning and investigation, systems analysis, detailed systems design, implementation, and system maintenance. The systems development life cycle involves a study team performing a preliminary investigation of the current system, analyzing its strengths and weaknesses, designing improved systems, implementing the new systems, and providing ongoing maintenance. Key aspects of each stage like feasibility evaluation, project management techniques, and post-implementation review are also summarized.
The document discusses several topics related to information systems including:
1. Eight categories of information systems and examples of each.
2. The systems development life cycle consisting of 7 phases from identifying problems to implementation and evaluation.
3. The importance of system maintenance and how CASE tools can help with maintenance.
The document discusses the process of designing a database management system (DBMS). It describes the six phases of the database lifecycle: initial study, design, implementation, testing and evaluation, operation, and maintenance and evaluation. The design phase is the most critical, as it ensures the final system meets user requirements through conceptual, logical, and physical database design. Successful DBMS design requires balancing the needs of users, infrastructure, and management.
The document discusses various types of decision support systems and knowledge management systems. It describes management information systems, decision support systems, executive support systems, group decision support systems, and knowledge management systems. It also discusses how intelligent techniques like expert systems, case-based reasoning, fuzzy logic, neural networks, genetic algorithms, and intelligent agents can enhance decision making.
Decision Support SAs companies migrate toward responsive e-business models, they are investing in new
data-driven decision support application frameworks that help them respond rapidly to
changing market conditions and customer needs.
To succeed in business today, companies need information systems that can support
the diverse information and decision-making needs of their managers and business
professionals. In this section, we will explore in more detail how this is accomplished
by several types of management information, decision support, and other information
systems. We concentrate our attention on how the Internet, intranets, and other
Web-enabled information technologies have significantly strengthened the role that
information systems play in supporting the decision-making activities of every manager
and knowledge worker in business system.One way to understand decision making is to look at decision structure. Decisions made
at the operational management level tend to be more structured, those at the tactical level
are more semistructured, and those at the strategic management level are more unstructured. Structured decisions involve situations in which the procedures to follow, when a
decision is needed, can be specified in advance. The inventory reorder decisions that
most businesses face are a typical example. Unstructured decisions involve decision situations in which it is not possible to specify in advance most of the decision procedures to
follow. Most decisions related to long-term strategy can be thought of as unstructured
(e.g., “What product lines should we develop over the next five years?”). Most business
decision situations are semistructured; that is, some decision procedures can be prespecified but not enough to lead to a definite recommended decision. For example, decisions
involved in starting a new line of e-commerce services or making major changes to employee benefits would probably range from unstructured to semistructured. Finally, decisions that are unstructured are those for which no procedures or rules exist to guide the
decision makers toward the correct decision. In these types of decisions, many sources of
information must be accessed, and the decision often rests on experience and “gut feeling.” One example of an unstructured decision might be the answer to the question,
“What business should we be in 10 years from now?” Figure 10.4 provides a variety of
examples of business decisions by type of decision structure and level of management
James A. O'Brien, and George Marakas. Management Information Systems with MISource 2007, 8th ed. Boston, MA: McGraw-Hill, Inc., 2007. ISBN: 13 9780073323091
The document discusses various topics related to building information systems, including:
1. The core problem-solving steps for developing new information systems are to define the problem, develop alternative solutions, evaluate and choose a solution, and implement the solution.
2. There are alternative methods for building information systems, such as the traditional systems development lifecycle, prototyping, end-user development, and purchasing application software packages.
3. Principal methodologies for modeling and designing systems include structured methodologies, object-oriented development, data flow diagrams, and process specifications.
The document discusses analyzing systems using data flow diagrams (DFDs). It explains that DFDs are a key method for analyzing data-oriented systems by graphically representing how data moves through an organization. The data flow approach has advantages over narrative explanations, including freedom from early technical commitments and better communication with users. Physical DFDs show how a system will be implemented and include details like manual vs automated processes. Structured analysis techniques are used to model system processes and document data flows and stores.
The document discusses the systems development life cycle for accounting information systems. It describes the key stages as systems planning and investigation, systems analysis, detailed systems design, implementation, and system maintenance. The systems development life cycle involves a study team performing a preliminary investigation of the current system, analyzing its strengths and weaknesses, designing improved systems, implementing the new systems, and providing ongoing maintenance. Key aspects of each stage like feasibility evaluation, project management techniques, and post-implementation review are also summarized.
The document discusses several topics related to information systems including:
1. Eight categories of information systems and examples of each.
2. The systems development life cycle consisting of 7 phases from identifying problems to implementation and evaluation.
3. The importance of system maintenance and how CASE tools can help with maintenance.
The document discusses the process of designing a database management system (DBMS). It describes the six phases of the database lifecycle: initial study, design, implementation, testing and evaluation, operation, and maintenance and evaluation. The design phase is the most critical, as it ensures the final system meets user requirements through conceptual, logical, and physical database design. Successful DBMS design requires balancing the needs of users, infrastructure, and management.
The document discusses various types of decision support systems and knowledge management systems. It describes management information systems, decision support systems, executive support systems, group decision support systems, and knowledge management systems. It also discusses how intelligent techniques like expert systems, case-based reasoning, fuzzy logic, neural networks, genetic algorithms, and intelligent agents can enhance decision making.
The document discusses the objectives and content covered in presentations for an introduction to information systems course. It outlines the learning objectives for each chapter, which include understanding the value of information, distinguishing between data and information, identifying the components of information systems, and describing the systems development process. It also provides an overview of key topics like the characteristics of valuable information, what constitutes an information system, different types of business information systems, and electronic and mobile commerce.
This document contains the syllabus for the 7th semester Computer Technology diploma program. It includes details for the Network Administration and Services course. The course aims to provide knowledge and skills related to network administration, routing protocols, network security, and link redundancy. The theory section covers topics like OSI and TCP/IP models, subnetting, routing protocols like OSPF, EIGRP, RIP, VLANs, NAT, IPv6, and redundancy protocols. The practical section includes tasks to design and simulate networks implementing these protocols and concepts using tools like Packet Tracer.
This chapter provides an overview of systems analysis and design. It discusses the systems development lifecycle and iterative development approaches. As an example, it walks through planning the initial iteration of developing a tradeshow system for Ridgeline Mountain Outfitters. Key activities covered in the iteration include identifying the problem, planning the project, analyzing requirements through use cases and class diagrams, designing system components like the user interface and database, and architectural designs. The chapter covers the core processes of systems analysis, design, and project planning.
This document provides an overview of systems analysis and design methodologies. It describes the traditional Systems Development Life Cycle (SDLC) process including planning, analysis, design, implementation, and maintenance phases. The document also discusses more modern agile methodologies like Rapid Application Development (RAD) and eXtreme Programming which incorporate prototyping and iterative development. Object-Oriented Analysis and Design (OOAD) is covered as well as tools like Computer-Aided Software Engineering (CASE) that support systems analysis and design.
James A. O'Brien, and George Marakas. Management Information Systems with MISource 2007, 8th ed. Boston, MA: McGraw-Hill, Inc., 2007. ISBN: 13 9780073323091
The document discusses various approaches to building information systems. It describes the core activities in the systems development process including systems analysis, design, programming, testing, conversion, and production/maintenance. It also compares structured and object-oriented development methodologies. Finally, it discusses alternative approaches like prototyping, end-user development, packaged software, outsourcing, rapid application development and joint application design.
1. The document summarizes a lecture on computer center management, outlining objectives like naming conventions, services provided, and types of computer centers.
2. It discusses factors to consider when installing computer systems and different models for a computer center's presence in an organization.
3. The summary also outlines services provided by computer centers like systems development, data entry, and consultancy as well as management of daily operations and types of users.
1. The document summarizes a lecture on computer center management. It discusses the various names computer centers can have, the services they provide, types of computer centers, and factors to consider when installing computer systems.
2. Key services computer centers provide include data processing, management information systems, data storage, office automation, and general IT support services. Successful computer center management requires service planning, defining service levels, organizing staff, and collecting performance data.
3. The lecture outlines best practices for computer center operations, including developing clear policies and service level agreements, setting key performance indicators, and preparing reports for management.
This chapter discusses systems design and the major design activities involved in systems development. It outlines the difference between systems analysis and systems design, and describes the key design activities which include designing the environment, application architecture, user interfaces, system interfaces, database, and security controls. The chapter also covers designing for internal deployment on a local network as well as external deployment over the internet, and various hosting alternatives for internet deployment.
The document discusses various topics related to ICT infrastructure including:
1) It describes the layers that make up an ICT system including the interface, rules, data management, transaction, and distribution layers.
2) It discusses aspects of internet infrastructure such as its history as a wide area network funded by the US department of defense and technologies like packet switching, routers, TCP/IP, IP addresses, and domain names.
3) It covers the history and components of the web including web 2.0 technologies like blogs, wikis, and RSS feeds.
This document discusses various types of decision support systems and artificial intelligence technologies that can be used in business, including:
- Decision support systems use analytical models, specialized databases, and interactive modeling to support semi-structured business decisions.
- Expert systems use knowledge bases and reasoning to emulate human experts in specific domains like medical diagnosis or equipment troubleshooting.
- Neural networks, fuzzy logic, genetic algorithms and other technologies can be applied to problems like optimization, prediction and classification.
- Intelligent agents are software that acts autonomously to perform tasks or provide information to users.
This document discusses various types of decision support systems and artificial intelligence technologies that can be used in business, including:
- Decision support systems use analytical models, specialized databases, and interactive modeling to support semi-structured business decisions.
- Expert systems use knowledge bases and reasoning to emulate human expertise in specific domains like medical diagnosis or loan approval.
- Neural networks, fuzzy logic, genetic algorithms and other technologies can be applied to business problems like supply chain optimization or customer profiling.
- Dashboards provide executives with real-time displays of key performance indicators.
The document provides an overview of the topics covered in a systems analysis and design course, including software used, information system components, analyzing the business case, managing projects, requirements modeling, data modeling, object modeling, development strategies, output and interface design, data design, and system architecture. Key concepts discussed include SWOT analysis, business cases, feasibility studies, project management techniques, UML, data flow diagrams, use cases, object-oriented analysis, cost-benefit analysis methods, user interface design, data structure, normalization, and entity relationship diagrams.
Need for System Analysis
Stages in System Analysis
Structured SAD and tools :
DFD
Context Diagram
Decision Table
Structured Diagram.
System Development Models:
Water Flow
Prototype
Spiral
RAD
Roles and responsibilities of
System Analyst,
Database Administrator
Database Designer
This document discusses developing business/IT solutions through systems analysis and design. It covers topics like the systems development lifecycle, systems analysis, functional requirements, prototyping, user interface design, implementation, testing, documentation and training. The key stages in developing a solution are recognizing a problem, analyzing alternatives, selecting and designing a system, implementing it, then evaluating the results. Successful implementation requires thorough testing, data conversion, documentation and training end users on the new system.
The document outlines the objectives and key concepts covered in Chapter 14 of the textbook "Accounting Information Systems, 6th edition". The objectives include the in-house development phase of the SDLC, tools used such as CASE and PERT/Gantt charts, structured vs object-oriented design approaches, documentation types, and the commercial software option. It then covers the phases of SDLC in more detail including in-house development, commercial packages, and maintenance. Design approaches like structured and object-oriented are defined. Documentation, testing, training and post-implementation review are discussed as part of system delivery.
This document provides an introduction and overview of the Systems Analysis and Design course. It outlines the contact information for the instructor, Dr. Amr Kamal, and defines systems analysis and design. The course objectives are to understand principles of systems analysis and design, user requirements gathering, object-oriented concepts, and CASE tools. Topics covered include system development, use cases, domain modeling, design approaches, and interfaces. Assessment is based on a midterm, quizzes, practical exam, group project, and final exam. The major assessment is a system requirements specification document developed incrementally by student groups.
This document provides an overview of information systems and the system development life cycle. It defines an information system as a system used to generate information to support organizational users. It describes the major types of information systems and the roles of different users. It also outlines the typical phases of the system development life cycle, including preliminary investigation, system analysis, design, acquisition, implementation, and maintenance. Finally, it discusses different approaches to system development.
The document discusses the objectives and content covered in presentations for an introduction to information systems course. It outlines the learning objectives for each chapter, which include understanding the value of information, distinguishing between data and information, identifying the components of information systems, and describing the systems development process. It also provides an overview of key topics like the characteristics of valuable information, what constitutes an information system, different types of business information systems, and electronic and mobile commerce.
This document contains the syllabus for the 7th semester Computer Technology diploma program. It includes details for the Network Administration and Services course. The course aims to provide knowledge and skills related to network administration, routing protocols, network security, and link redundancy. The theory section covers topics like OSI and TCP/IP models, subnetting, routing protocols like OSPF, EIGRP, RIP, VLANs, NAT, IPv6, and redundancy protocols. The practical section includes tasks to design and simulate networks implementing these protocols and concepts using tools like Packet Tracer.
This chapter provides an overview of systems analysis and design. It discusses the systems development lifecycle and iterative development approaches. As an example, it walks through planning the initial iteration of developing a tradeshow system for Ridgeline Mountain Outfitters. Key activities covered in the iteration include identifying the problem, planning the project, analyzing requirements through use cases and class diagrams, designing system components like the user interface and database, and architectural designs. The chapter covers the core processes of systems analysis, design, and project planning.
This document provides an overview of systems analysis and design methodologies. It describes the traditional Systems Development Life Cycle (SDLC) process including planning, analysis, design, implementation, and maintenance phases. The document also discusses more modern agile methodologies like Rapid Application Development (RAD) and eXtreme Programming which incorporate prototyping and iterative development. Object-Oriented Analysis and Design (OOAD) is covered as well as tools like Computer-Aided Software Engineering (CASE) that support systems analysis and design.
James A. O'Brien, and George Marakas. Management Information Systems with MISource 2007, 8th ed. Boston, MA: McGraw-Hill, Inc., 2007. ISBN: 13 9780073323091
The document discusses various approaches to building information systems. It describes the core activities in the systems development process including systems analysis, design, programming, testing, conversion, and production/maintenance. It also compares structured and object-oriented development methodologies. Finally, it discusses alternative approaches like prototyping, end-user development, packaged software, outsourcing, rapid application development and joint application design.
1. The document summarizes a lecture on computer center management, outlining objectives like naming conventions, services provided, and types of computer centers.
2. It discusses factors to consider when installing computer systems and different models for a computer center's presence in an organization.
3. The summary also outlines services provided by computer centers like systems development, data entry, and consultancy as well as management of daily operations and types of users.
1. The document summarizes a lecture on computer center management. It discusses the various names computer centers can have, the services they provide, types of computer centers, and factors to consider when installing computer systems.
2. Key services computer centers provide include data processing, management information systems, data storage, office automation, and general IT support services. Successful computer center management requires service planning, defining service levels, organizing staff, and collecting performance data.
3. The lecture outlines best practices for computer center operations, including developing clear policies and service level agreements, setting key performance indicators, and preparing reports for management.
This chapter discusses systems design and the major design activities involved in systems development. It outlines the difference between systems analysis and systems design, and describes the key design activities which include designing the environment, application architecture, user interfaces, system interfaces, database, and security controls. The chapter also covers designing for internal deployment on a local network as well as external deployment over the internet, and various hosting alternatives for internet deployment.
The document discusses various topics related to ICT infrastructure including:
1) It describes the layers that make up an ICT system including the interface, rules, data management, transaction, and distribution layers.
2) It discusses aspects of internet infrastructure such as its history as a wide area network funded by the US department of defense and technologies like packet switching, routers, TCP/IP, IP addresses, and domain names.
3) It covers the history and components of the web including web 2.0 technologies like blogs, wikis, and RSS feeds.
This document discusses various types of decision support systems and artificial intelligence technologies that can be used in business, including:
- Decision support systems use analytical models, specialized databases, and interactive modeling to support semi-structured business decisions.
- Expert systems use knowledge bases and reasoning to emulate human experts in specific domains like medical diagnosis or equipment troubleshooting.
- Neural networks, fuzzy logic, genetic algorithms and other technologies can be applied to problems like optimization, prediction and classification.
- Intelligent agents are software that acts autonomously to perform tasks or provide information to users.
This document discusses various types of decision support systems and artificial intelligence technologies that can be used in business, including:
- Decision support systems use analytical models, specialized databases, and interactive modeling to support semi-structured business decisions.
- Expert systems use knowledge bases and reasoning to emulate human expertise in specific domains like medical diagnosis or loan approval.
- Neural networks, fuzzy logic, genetic algorithms and other technologies can be applied to business problems like supply chain optimization or customer profiling.
- Dashboards provide executives with real-time displays of key performance indicators.
The document provides an overview of the topics covered in a systems analysis and design course, including software used, information system components, analyzing the business case, managing projects, requirements modeling, data modeling, object modeling, development strategies, output and interface design, data design, and system architecture. Key concepts discussed include SWOT analysis, business cases, feasibility studies, project management techniques, UML, data flow diagrams, use cases, object-oriented analysis, cost-benefit analysis methods, user interface design, data structure, normalization, and entity relationship diagrams.
Need for System Analysis
Stages in System Analysis
Structured SAD and tools :
DFD
Context Diagram
Decision Table
Structured Diagram.
System Development Models:
Water Flow
Prototype
Spiral
RAD
Roles and responsibilities of
System Analyst,
Database Administrator
Database Designer
This document discusses developing business/IT solutions through systems analysis and design. It covers topics like the systems development lifecycle, systems analysis, functional requirements, prototyping, user interface design, implementation, testing, documentation and training. The key stages in developing a solution are recognizing a problem, analyzing alternatives, selecting and designing a system, implementing it, then evaluating the results. Successful implementation requires thorough testing, data conversion, documentation and training end users on the new system.
The document outlines the objectives and key concepts covered in Chapter 14 of the textbook "Accounting Information Systems, 6th edition". The objectives include the in-house development phase of the SDLC, tools used such as CASE and PERT/Gantt charts, structured vs object-oriented design approaches, documentation types, and the commercial software option. It then covers the phases of SDLC in more detail including in-house development, commercial packages, and maintenance. Design approaches like structured and object-oriented are defined. Documentation, testing, training and post-implementation review are discussed as part of system delivery.
This document provides an introduction and overview of the Systems Analysis and Design course. It outlines the contact information for the instructor, Dr. Amr Kamal, and defines systems analysis and design. The course objectives are to understand principles of systems analysis and design, user requirements gathering, object-oriented concepts, and CASE tools. Topics covered include system development, use cases, domain modeling, design approaches, and interfaces. Assessment is based on a midterm, quizzes, practical exam, group project, and final exam. The major assessment is a system requirements specification document developed incrementally by student groups.
This document provides an overview of information systems and the system development life cycle. It defines an information system as a system used to generate information to support organizational users. It describes the major types of information systems and the roles of different users. It also outlines the typical phases of the system development life cycle, including preliminary investigation, system analysis, design, acquisition, implementation, and maintenance. Finally, it discusses different approaches to system development.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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Thinking of getting a dog? Be aware that breeds like Pit Bulls, Rottweilers, and German Shepherds can be loyal and dangerous. Proper training and socialization are crucial to preventing aggressive behaviors. Ensure safety by understanding their needs and always supervising interactions. Stay safe, and enjoy your furry friends!
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
2. 10 Chapter Contents
Section A: Information Systems
Section B: Systems Analysis
Section C: System Design
Section D: Implementation and Maintenance
Section E: Corporate Data Security
Chapter 10: Information Systems Analysis and Design 2
3. 10 Section A:
Information Systems
Information Systems in Organizations
Transaction Processing Systems
Management Information Systems
Decision Support Systems
Expert Systems and Neural Networks
Chapter 10: Information Systems Analysis and Design 3
4. 10 Information Systems in
Organizations
An information system collects,
stores, and processes data to
provide useful, accurate, and
timely information
An organization is a group of
people working together to
accomplish a goal
Business
Nonprofit organization
Mission
Mission statement
Chapter 10: Information Systems Analysis and Design 4
5. 10
Organizational charts depict the hierarchy of
information; e.g. bureaucracy
Chapter 10: Information Systems Analysis and Design 5
Information Systems in
Organizations
6. 10
Information systems can:
Automate routine tasks
Make decisions in response to problems
Structured problem
Semi-structured problem
Unstructured problem
Collect and store internal or external information
Chapter 10: Information Systems Analysis and Design 6
Information Systems in
Organizations
8. 10 Transaction Processing
Systems
Provide a way to collect, process, store, display,
modify, or cancel transactions
Payroll, accounting, airline reservations, inventory, point
of sale and cellular phone billing
Batch processing vs. online processing
OLTP system
Commit or rollback strategy
Detail reports
Chapter 10: Information Systems Analysis and Design 8
12. 10 Decision Support Systems
Helps people make decisions by directly
manipulating data, analyzing data from external
sources, generating statistical projections, and
creating data models of various scenarios
Executive information system
DSSs design decision models and make decision
queries
Chapter 10: Information Systems Analysis and Design 12
13. 10 Decision Support Systems
Chapter 10: Information Systems Analysis and Design 13
14. 10 Expert Systems and Neural
Networks
Expert systems are designed to analyze data and
produce a recommendation, diagnosis, or decision
based on a set of facts and rules
Knowledge base
Inference engine
Knowledge engineering
Expert system shell
Fuzzy logic
Neural networks use computer circuitry to simulate
how a brain may process info, learn, and remember
Chapter 10: Information Systems Analysis and Design 14
15. 10 Expert Systems and Neural
Networks
Chapter 10: Information Systems Analysis and Design 15
16. 10 Section B: Systems Analysis
System Development Life Cycle
Planning Phase
Analysis Phase
Documentation Tools
Chapter 10: Information Systems Analysis and Design 16
17. 10 System Development Life
Cycle
Systems analysis and design is a discipline that
focuses on developing information systems
according to the phases of an SDLC
Chapter 10: Information Systems Analysis and Design 17
18. 10 Planning Phase
Assemble the project team
Justify the project
Choose a development methodology
Develop a project schedule
Produce a Project Development Plan
Chapter 10: Information Systems Analysis and Design 18
19. 10 Planning Phase
Justification for new system
serious problem with the current system,
a threat to the organization’s success,
an opportunity to improve an organization’s products or
services through technology
Chapter 10: Information Systems Analysis and Design 19
20. 10 Planning Phase
An organization must be able to:
Make improvements
Change the industry
Create new products
The PIECES framework helps classify problems in
an information system
Chapter 10: Information Systems Analysis and Design 20
21. 10 Planning Phase
Development methodologies
Structured methodology
Information engineering methodology
Object-oriented methodology
PERT (Program Evaluation and Review Technique)
WBS (Work Breakdown Structure)
Gantt chart
Chapter 10: Information Systems Analysis and Design 21
23. 10 Analysis Phase
Produce a list of requirements for a new or revised
information system
Analysis phase activities:
Study the current system
Determine system requirements
Write System Requirements Report
System requirements are the criteria for
successfully solving problems identified in an
information system
Success factors
Chapter 10: Information Systems Analysis and Design 23
24. 10 Documentation Tools
The core documentation tool for project teams using
structured methodology is the data flow diagram
(DFD)
External entity
Data store
Process
Data flow
Chapter 10: Information Systems Analysis and Design 24
26. 10 Section C: System Design
Design Phase
Evaluation and Selection
Application Specifications
Chapter 10: Information Systems Analysis and Design 26
27. 10 Design Phase
How the new system
will fulfill the
requirements specified
in the System
Requirements Report
Chapter 10: Information Systems Analysis and Design 27
28. 10 Design Phase
The project team has to consider the overall
architecture based on:
Level of automation
Processing methodology
Centralized processing
Distributed processing
Network technology
Chapter 10: Information Systems Analysis and Design 28
29. 10 Design Phase
Software alternatives
Programming tools
Application development
tools
Application software
Turnkey systems
Chapter 10: Information Systems Analysis and Design 29
30. 10 Evaluation and Selection
A request for proposal (RFP) describes
The problem and the requirements for the solution
A request for quotation (RFQ)
Request for a formal price quotation on a list of
hardware and software
Chapter 10: Information Systems Analysis and Design 30
31. 10 Application Specifications
Describe the way the information system’s software
should interact with users,
store data,
process data,
and format reports
Feature creep refers to the failure to constrain change
Changes should be managed formally, including
written change requests
Chapter 10: Information Systems Analysis and Design 31
32. 10 Section D: Implementation
and Maintenance
Implementation Phase
Development and Testing
Documentation and Training
Conversion and Cutover
Maintenance Phase
Chapter 10: Information Systems Analysis and Design 32
33. 10 Implementation Phase
Construct the new
information system
Chapter 10: Information Systems Analysis and Design 33
34. 10 Development and Testing
Software customization
process of modifying a commercial application to
reflect an organization’s needs
Application testing is performed in three ways:
Unit testing
Integration testing
Test area
System testing
Chapter 10: Information Systems Analysis and Design 34
35. 10 Development and Testing
Chapter 10: Information Systems Analysis and Design 35
36. 10 Documentation and Training
System documentation
Describes a system’s features, hardware architecture,
and programming
User documentation
Describes how to interact with the system to accomplish
specific tasks
Procedure handbook
Contains step-by-step instructions for performing specific tasks
Chapter 10: Information Systems Analysis and Design 36
37. 10 Conversion and Cutover
System conversion
Deactivating an old information system and activating a
new one
Several conversion strategies:
Direct conversion
Parallel conversion
Phased conversion
Pilot conversion
Acceptance testing is designed to verify that the new
information system works as required
Chapter 10: Information Systems Analysis and Design 37
38. 10 Maintenance Phase
Involves day-to-day
operation of the system,
making modifications to
improve performance, and
correcting problems
The term quality of
service (QoS) refers to
the level of performance a
computer system provides
Chapter 10: Information Systems Analysis and Design 38
39. 10 Maintenance Phase
Maintenance phase costs
Chapter 10: Information Systems Analysis and Design 39
40. 10 Section E: Corporate Data
Security
Information System Data Vulnerabilities
Information System Data Security
Corporate Identity Theft
Chapter 10: Information Systems Analysis and Design 40
41. 10 Information System Data
Vulnerabilities
Threats to a corporate information system can
affect thousands of people
Natural disasters
Power outages
Equipment failures
Human errors
Software failures
Security breaches
Acts of war
Malware
Chapter 10: Information Systems Analysis and Design 41
42. 10 Information System Data
Security
No computer system can be completely risk-free,
but several proactive measures can protect
information systems from threats
Deterrents
Preventative countermeasures
Corrective procedures
Detection activities
Chapter 10: Information Systems Analysis and Design 42
43. 10 Information System Data
Security
A data center is a specialized facility
designed to hold and protect
computer systems and data
A disaster recovery plan is a step-by-
step plan that describes the methods
used to secure data against disaster
and sets guidelines for how an
organization will recover lost data if
and when a disaster occurs
Chapter 10: Information Systems Analysis and Design 43
44. 10 Corporate Identity Theft
When a company’s brand is used without
authorization, the company has become a victim of
identity theft
For example, phishing scams and fake Web sites
Chapter 10: Information Systems Analysis and Design 44
45. 10 Corporate Identity Theft
Guidelines help corporations deal with identity theft
Chapter 10: Information Systems Analysis and Design 45