The document discusses management support systems and decision support systems. It defines decision support systems as computer-based information systems that combine data and models to solve non-structured problems with extensive user involvement through a friendly user interface. It also outlines Simon's three phases of decision making: intelligence, design, and choice. Additionally, it lists some of the major benefits DSS provide such as quickly performing thorough analysis, exposing users to new insights, and facilitating communication.
The document discusses management support systems and decision support systems. It defines key concepts like decision making, decision support systems, and different types of decision support systems. It also outlines various management roles, factors affecting decision making, and technologies that support decision making processes, including management information systems, data warehousing, business intelligence, knowledge management systems, and expert systems.
This document provides an overview of knowledge management concepts from a textbook. It defines knowledge management as the process of identifying, selecting, organizing, disseminating and transferring information to help organizations problem solve, learn, and make decisions. It also describes the types of knowledge, importance of organizational learning, knowledge management systems and their implementation, and factors for success or failure of knowledge management initiatives.
The document discusses different types of information system users and their characteristics. It describes innovators, early adopters, early majority, late majority, and laggards - the five categories of users who adopt new technologies at different rates. It also summarizes transaction processing systems, decision support systems, executive support systems, and enterprise resource planning systems.
Lesson 5: Information Systems PresentationKereen Tatham
This document discusses information systems and their role in organizations. It defines an information system as a set of components that collect, process, and disseminate data to meet organizational objectives. Information systems support decision making at different management levels - operational, tactical, and strategic. Transaction processing systems handle basic business transactions, management information systems provide routine reports, and decision support systems aid complex problem solving. The document also outlines security, privacy, and ethical issues with information systems, and how systems are used in key business functions like finance, marketing, and human resources.
This document discusses decision making, systems modeling, and decision support. It covers typical aspects of business decisions, including risks and uncertainties. Decision support systems and intelligent systems can help address questions around decision making methodologies and the role of information systems in supporting decisions. The systems approach and concepts of open and closed systems are introduced. Modeling and different types of models are also discussed as essential parts of the decision making process.
The development of modern information systems is a demanding task. New technologies and tools are designed, implemented and presented in the market on a daily bases. User needs change dramatically fast and the IT industry copes to reach the level of efficiency and adaptability for its systems in order to be competitive and up-to-date. Thus, the realization of modern information systems with great characteristics and functionalities implemented for specific areas of interest is a fact of our modern and demanding digital society and this is the main scope of this Presentation.
This document discusses the roles and methodologies of systems analysts. It covers the following key points:
1) Systems analysts address various types of computer systems and help integrate new technologies. They take on roles as consultants, experts, and agents of change.
2) The systems development life cycle (SDLC) is a phased approach used by analysts to solve business problems. It includes phases for requirements gathering, design, implementation, and maintenance.
3) Analysts must consider human-computer interaction factors and employ techniques like interviewing, prototyping, and observation to determine user requirements and analyze system needs.
The document discusses management support systems and decision support systems. It defines key concepts like decision making, decision support systems, and different types of decision support systems. It also outlines various management roles, factors affecting decision making, and technologies that support decision making processes, including management information systems, data warehousing, business intelligence, knowledge management systems, and expert systems.
This document provides an overview of knowledge management concepts from a textbook. It defines knowledge management as the process of identifying, selecting, organizing, disseminating and transferring information to help organizations problem solve, learn, and make decisions. It also describes the types of knowledge, importance of organizational learning, knowledge management systems and their implementation, and factors for success or failure of knowledge management initiatives.
The document discusses different types of information system users and their characteristics. It describes innovators, early adopters, early majority, late majority, and laggards - the five categories of users who adopt new technologies at different rates. It also summarizes transaction processing systems, decision support systems, executive support systems, and enterprise resource planning systems.
Lesson 5: Information Systems PresentationKereen Tatham
This document discusses information systems and their role in organizations. It defines an information system as a set of components that collect, process, and disseminate data to meet organizational objectives. Information systems support decision making at different management levels - operational, tactical, and strategic. Transaction processing systems handle basic business transactions, management information systems provide routine reports, and decision support systems aid complex problem solving. The document also outlines security, privacy, and ethical issues with information systems, and how systems are used in key business functions like finance, marketing, and human resources.
This document discusses decision making, systems modeling, and decision support. It covers typical aspects of business decisions, including risks and uncertainties. Decision support systems and intelligent systems can help address questions around decision making methodologies and the role of information systems in supporting decisions. The systems approach and concepts of open and closed systems are introduced. Modeling and different types of models are also discussed as essential parts of the decision making process.
The development of modern information systems is a demanding task. New technologies and tools are designed, implemented and presented in the market on a daily bases. User needs change dramatically fast and the IT industry copes to reach the level of efficiency and adaptability for its systems in order to be competitive and up-to-date. Thus, the realization of modern information systems with great characteristics and functionalities implemented for specific areas of interest is a fact of our modern and demanding digital society and this is the main scope of this Presentation.
This document discusses the roles and methodologies of systems analysts. It covers the following key points:
1) Systems analysts address various types of computer systems and help integrate new technologies. They take on roles as consultants, experts, and agents of change.
2) The systems development life cycle (SDLC) is a phased approach used by analysts to solve business problems. It includes phases for requirements gathering, design, implementation, and maintenance.
3) Analysts must consider human-computer interaction factors and employ techniques like interviewing, prototyping, and observation to determine user requirements and analyze system needs.
This chapter introduces systems analysis and design. It defines systems analysis as the process of implementing and operating an information system, which requires knowledge of an organization's objectives, structure, and processes. It describes the basic components of a system, including boundaries, inputs, outputs, and interrelationships. The chapter also outlines different types of systems like transaction processing systems, management information systems, and decision support systems. It discusses the role of the systems analyst and the evolution of systems development methodologies.
The document discusses the role of the systems analyst as a business problem solver who uses technical, business, and interpersonal skills. It outlines the analyst's approach to problem solving, which includes verifying the benefits of solving the problem, researching and defining the problem, developing and choosing solutions, and ensuring desired results. It also describes the analyst's role in strategic planning and information systems development.
The document discusses the role of the systems analyst as a business problem solver who uses technical, business, and interpersonal skills. It outlines the analyst's approach to problem solving, which includes verifying the benefits of solving the problem, researching and defining the problem, developing and choosing solutions, and ensuring desired results. It also describes the types of information systems and technical, business, and people knowledge and skills required of an analyst.
This document discusses decision support systems and business intelligence. It provides learning objectives about understanding decision making in turbulent business environments and the need for computerized support. It describes early frameworks for decision support and the evolution of decision support systems into modern business intelligence approaches. Key concepts covered include structured vs. unstructured decisions, decision support system architectures, and the goals and components of business intelligence systems.
The document provides an overview of systems analysis and design. It discusses the roles of systems analysts, different types of information systems, and the phases of the systems development life cycle (SDLC). The SDLC phases include planning, analysis, design, implementation, testing, and maintenance. The document also covers topics like prototyping, joint application design (JAD), rapid application development (RAD), agile methodologies, and object-oriented analysis and design (OOAD).
This chapter discusses information systems and how they can provide competitive advantages to businesses. It covers several key points:
1) Information systems can help implement various competitive strategies like cost leadership, differentiation, and innovation to gain advantages over rivals. Technologies like e-commerce allow businesses to build customer value.
2) Business process reengineering often involves using information technology to increase efficiencies and improve communication. IT is a key enabler of reengineering initiatives.
3) Knowledge management systems help businesses create, share, and leverage both explicit and tacit knowledge to gain strategic benefits. Successful knowledge management rewards knowledge sharing.
This document discusses decision support systems and business intelligence. It covers the changing business environment that necessitates computerized decision support. It defines decision support systems and describes their evolution into broader business intelligence approaches. The key components of decision support systems and business intelligence architectures are also outlined, including data warehouses, analytics, and user interfaces. Various types of decision support systems and styles of business intelligence are described.
An executive information system (EIS) provides senior executives with easy access to internal and external information relevant to organizational goals through graphical displays and reporting capabilities. EIS emerged in the 1970s as mainframe-based programs and were early adopted by large firms seeking competitive advantage. EIS applications include monitoring company performance, identifying opportunities, analyzing competitors, and supporting executive planning, decision-making, and control responsibilities.
The document discusses various topics related to information systems concepts:
- It defines data, processes, information and information systems.
- It provides examples of basic information systems like production, human resources, finance, and marketing systems.
- It describes different types of information systems like transaction processing systems, management information systems, and decision support systems.
- It discusses stakeholders in information systems like system owners, users, designers and analysts.
- It outlines business and technology drivers for modern information systems like e-commerce, collaboration, knowledge management and enterprise applications.
Management Information System (MIS) provides information to support decision-making and management in an organization. The goals of an MIS include enhancing communication, delivering information efficiently, supporting data collection and analysis, and aiding strategic objectives. An MIS contains interconnected sub-systems that capture, store, process, and distribute data, information and knowledge across different levels and functions of a business. It integrates transaction processing systems, office automation systems, decision support systems and other applications to provide timely, relevant information to management.
This chapter provides an overview of systems analysis and design methods. It defines key terms like information systems, stakeholders, and systems analysts. It also outlines important business and technology drivers that influence modern system development like globalization, e-commerce, and mobile technologies. Finally, it presents a simple system development process and discusses project and process management.
This chapter introduces systems analysis and design methods. It defines an information system and describes seven types, including transaction processing, management information, decision support, expert, communications, office automation, and knowledge management systems. It identifies stakeholders in information systems, such as system owners, users, designers, builders, and analysts. It outlines the role of systems analysts and skills needed for the job. Finally, it discusses current business and technology drivers that influence systems development.
An information system consists of people, processes, technology, and data that work together to provide relevant information to organizational decision makers. It collects, stores, and disseminates data to support functions like transaction processing, decision making, executive reporting, and management. The main components of an information system are hardware, software, databases, networks, and people. A management information system is a type of information system that provides processed data to managers in an organization to help with planning, control, and decision making.
Decision support systems use analytical models, specialized databases, and interactive modeling to support semi-structured business decisions. They provide information and techniques to analyze specific problems through interactive inquiries and flexible reporting formats. Common applications include supply chain optimization, pricing analysis, and product quality improvement through statistical modeling.
A computer-based information system consists of hardware, software, databases, telecommunications, people, and procedures designed to collect, manipulate, store and process data into useful information. Key components include IT (technology), hardware, software, databases, people, procedures, telecommunications, e-commerce, m-commerce, transaction processing systems, and enterprise resource planning (ERP) systems. Management information systems (MIS) are organized collections of resources used to provide routine information to managers and support decision-making.
Management Information Systems (MIS) is the study of people, technology, organizations and the relationships among them. MIS professionals help firms realize maximum benefit from investment in personnel, equipment, and business processes by creating information systems for data management and meeting the needs of managers, staff and customers. A management information system gives managers the information they need to make efficient and effective decisions by collecting, processing, storing and disseminating data.
This document discusses Management Information Systems (MIS). It defines MIS as a system that converts data from internal and external sources into meaningful information to help managers make timely decisions. The document outlines the importance of MIS in providing the right information to the right people at the right time. It also discusses the components, characteristics, establishment and performance evaluation of effective MIS.
The document discusses various types of decision support systems that can help managers at different levels of an organization. It describes executive support systems that help senior managers address strategic issues through integrated business information and data visualization. It also discusses expert systems that capture human expertise in specific domains through knowledge bases and inference engines. Finally, it summarizes decision support systems as interactive tools that combine data and models to support semi-structured and unstructured decision-making.
Principles of Information Systems,
Information Concepts
Characteristics of Valuable Information,
Management information system,
Information Systems in Society.
Global Challenges in Information Systems
Odoo ERP software
Odoo ERP software, a leading open-source software for Enterprise Resource Planning (ERP) and business management, has recently launched its latest version, Odoo 17 Community Edition. This update introduces a range of new features and enhancements designed to streamline business operations and support growth.
The Odoo Community serves as a cost-free edition within the Odoo suite of ERP systems. Tailored to accommodate the standard needs of business operations, it provides a robust platform suitable for organisations of different sizes and business sectors. Within the Odoo Community Edition, users can access a variety of essential features and services essential for managing day-to-day tasks efficiently.
This blog presents a detailed overview of the features available within the Odoo 17 Community edition, and the differences between Odoo 17 community and enterprise editions, aiming to equip you with the necessary information to make an informed decision about its suitability for your business.
Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
This chapter introduces systems analysis and design. It defines systems analysis as the process of implementing and operating an information system, which requires knowledge of an organization's objectives, structure, and processes. It describes the basic components of a system, including boundaries, inputs, outputs, and interrelationships. The chapter also outlines different types of systems like transaction processing systems, management information systems, and decision support systems. It discusses the role of the systems analyst and the evolution of systems development methodologies.
The document discusses the role of the systems analyst as a business problem solver who uses technical, business, and interpersonal skills. It outlines the analyst's approach to problem solving, which includes verifying the benefits of solving the problem, researching and defining the problem, developing and choosing solutions, and ensuring desired results. It also describes the analyst's role in strategic planning and information systems development.
The document discusses the role of the systems analyst as a business problem solver who uses technical, business, and interpersonal skills. It outlines the analyst's approach to problem solving, which includes verifying the benefits of solving the problem, researching and defining the problem, developing and choosing solutions, and ensuring desired results. It also describes the types of information systems and technical, business, and people knowledge and skills required of an analyst.
This document discusses decision support systems and business intelligence. It provides learning objectives about understanding decision making in turbulent business environments and the need for computerized support. It describes early frameworks for decision support and the evolution of decision support systems into modern business intelligence approaches. Key concepts covered include structured vs. unstructured decisions, decision support system architectures, and the goals and components of business intelligence systems.
The document provides an overview of systems analysis and design. It discusses the roles of systems analysts, different types of information systems, and the phases of the systems development life cycle (SDLC). The SDLC phases include planning, analysis, design, implementation, testing, and maintenance. The document also covers topics like prototyping, joint application design (JAD), rapid application development (RAD), agile methodologies, and object-oriented analysis and design (OOAD).
This chapter discusses information systems and how they can provide competitive advantages to businesses. It covers several key points:
1) Information systems can help implement various competitive strategies like cost leadership, differentiation, and innovation to gain advantages over rivals. Technologies like e-commerce allow businesses to build customer value.
2) Business process reengineering often involves using information technology to increase efficiencies and improve communication. IT is a key enabler of reengineering initiatives.
3) Knowledge management systems help businesses create, share, and leverage both explicit and tacit knowledge to gain strategic benefits. Successful knowledge management rewards knowledge sharing.
This document discusses decision support systems and business intelligence. It covers the changing business environment that necessitates computerized decision support. It defines decision support systems and describes their evolution into broader business intelligence approaches. The key components of decision support systems and business intelligence architectures are also outlined, including data warehouses, analytics, and user interfaces. Various types of decision support systems and styles of business intelligence are described.
An executive information system (EIS) provides senior executives with easy access to internal and external information relevant to organizational goals through graphical displays and reporting capabilities. EIS emerged in the 1970s as mainframe-based programs and were early adopted by large firms seeking competitive advantage. EIS applications include monitoring company performance, identifying opportunities, analyzing competitors, and supporting executive planning, decision-making, and control responsibilities.
The document discusses various topics related to information systems concepts:
- It defines data, processes, information and information systems.
- It provides examples of basic information systems like production, human resources, finance, and marketing systems.
- It describes different types of information systems like transaction processing systems, management information systems, and decision support systems.
- It discusses stakeholders in information systems like system owners, users, designers and analysts.
- It outlines business and technology drivers for modern information systems like e-commerce, collaboration, knowledge management and enterprise applications.
Management Information System (MIS) provides information to support decision-making and management in an organization. The goals of an MIS include enhancing communication, delivering information efficiently, supporting data collection and analysis, and aiding strategic objectives. An MIS contains interconnected sub-systems that capture, store, process, and distribute data, information and knowledge across different levels and functions of a business. It integrates transaction processing systems, office automation systems, decision support systems and other applications to provide timely, relevant information to management.
This chapter provides an overview of systems analysis and design methods. It defines key terms like information systems, stakeholders, and systems analysts. It also outlines important business and technology drivers that influence modern system development like globalization, e-commerce, and mobile technologies. Finally, it presents a simple system development process and discusses project and process management.
This chapter introduces systems analysis and design methods. It defines an information system and describes seven types, including transaction processing, management information, decision support, expert, communications, office automation, and knowledge management systems. It identifies stakeholders in information systems, such as system owners, users, designers, builders, and analysts. It outlines the role of systems analysts and skills needed for the job. Finally, it discusses current business and technology drivers that influence systems development.
An information system consists of people, processes, technology, and data that work together to provide relevant information to organizational decision makers. It collects, stores, and disseminates data to support functions like transaction processing, decision making, executive reporting, and management. The main components of an information system are hardware, software, databases, networks, and people. A management information system is a type of information system that provides processed data to managers in an organization to help with planning, control, and decision making.
Decision support systems use analytical models, specialized databases, and interactive modeling to support semi-structured business decisions. They provide information and techniques to analyze specific problems through interactive inquiries and flexible reporting formats. Common applications include supply chain optimization, pricing analysis, and product quality improvement through statistical modeling.
A computer-based information system consists of hardware, software, databases, telecommunications, people, and procedures designed to collect, manipulate, store and process data into useful information. Key components include IT (technology), hardware, software, databases, people, procedures, telecommunications, e-commerce, m-commerce, transaction processing systems, and enterprise resource planning (ERP) systems. Management information systems (MIS) are organized collections of resources used to provide routine information to managers and support decision-making.
Management Information Systems (MIS) is the study of people, technology, organizations and the relationships among them. MIS professionals help firms realize maximum benefit from investment in personnel, equipment, and business processes by creating information systems for data management and meeting the needs of managers, staff and customers. A management information system gives managers the information they need to make efficient and effective decisions by collecting, processing, storing and disseminating data.
This document discusses Management Information Systems (MIS). It defines MIS as a system that converts data from internal and external sources into meaningful information to help managers make timely decisions. The document outlines the importance of MIS in providing the right information to the right people at the right time. It also discusses the components, characteristics, establishment and performance evaluation of effective MIS.
The document discusses various types of decision support systems that can help managers at different levels of an organization. It describes executive support systems that help senior managers address strategic issues through integrated business information and data visualization. It also discusses expert systems that capture human expertise in specific domains through knowledge bases and inference engines. Finally, it summarizes decision support systems as interactive tools that combine data and models to support semi-structured and unstructured decision-making.
Principles of Information Systems,
Information Concepts
Characteristics of Valuable Information,
Management information system,
Information Systems in Society.
Global Challenges in Information Systems
Odoo ERP software
Odoo ERP software, a leading open-source software for Enterprise Resource Planning (ERP) and business management, has recently launched its latest version, Odoo 17 Community Edition. This update introduces a range of new features and enhancements designed to streamline business operations and support growth.
The Odoo Community serves as a cost-free edition within the Odoo suite of ERP systems. Tailored to accommodate the standard needs of business operations, it provides a robust platform suitable for organisations of different sizes and business sectors. Within the Odoo Community Edition, users can access a variety of essential features and services essential for managing day-to-day tasks efficiently.
This blog presents a detailed overview of the features available within the Odoo 17 Community edition, and the differences between Odoo 17 community and enterprise editions, aiming to equip you with the necessary information to make an informed decision about its suitability for your business.
Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
Hand Rolled Applicative User ValidationCode KataPhilip Schwarz
Could you use a simple piece of Scala validation code (granted, a very simplistic one too!) that you can rewrite, now and again, to refresh your basic understanding of Applicative operators <*>, <*, *>?
The goal is not to write perfect code showcasing validation, but rather, to provide a small, rough-and ready exercise to reinforce your muscle-memory.
Despite its grandiose-sounding title, this deck consists of just three slides showing the Scala 3 code to be rewritten whenever the details of the operators begin to fade away.
The code is my rough and ready translation of a Haskell user-validation program found in a book called Finding Success (and Failure) in Haskell - Fall in love with applicative functors.
SOCRadar's Aviation Industry Q1 Incident Report is out now!
The aviation industry has always been a prime target for cybercriminals due to its critical infrastructure and high stakes. In the first quarter of 2024, the sector faced an alarming surge in cybersecurity threats, revealing its vulnerabilities and the relentless sophistication of cyber attackers.
SOCRadar’s Aviation Industry, Quarterly Incident Report, provides an in-depth analysis of these threats, detected and examined through our extensive monitoring of hacker forums, Telegram channels, and dark web platforms.
GraphSummit Paris - The art of the possible with Graph TechnologyNeo4j
Sudhir Hasbe, Chief Product Officer, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
What is Master Data Management by PiLog Groupaymanquadri279
PiLog Group's Master Data Record Manager (MDRM) is a sophisticated enterprise solution designed to ensure data accuracy, consistency, and governance across various business functions. MDRM integrates advanced data management technologies to cleanse, classify, and standardize master data, thereby enhancing data quality and operational efficiency.
Measures in SQL (SIGMOD 2024, Santiago, Chile)Julian Hyde
SQL has attained widespread adoption, but Business Intelligence tools still use their own higher level languages based upon a multidimensional paradigm. Composable calculations are what is missing from SQL, and we propose a new kind of column, called a measure, that attaches a calculation to a table. Like regular tables, tables with measures are composable and closed when used in queries.
SQL-with-measures has the power, conciseness and reusability of multidimensional languages but retains SQL semantics. Measure invocations can be expanded in place to simple, clear SQL.
To define the evaluation semantics for measures, we introduce context-sensitive expressions (a way to evaluate multidimensional expressions that is consistent with existing SQL semantics), a concept called evaluation context, and several operations for setting and modifying the evaluation context.
A talk at SIGMOD, June 9–15, 2024, Santiago, Chile
Authors: Julian Hyde (Google) and John Fremlin (Google)
https://doi.org/10.1145/3626246.3653374
Most important New features of Oracle 23c for DBAs and Developers. You can get more idea from my youtube channel video from https://youtu.be/XvL5WtaC20A
Microservice Teams - How the cloud changes the way we workSven Peters
A lot of technical challenges and complexity come with building a cloud-native and distributed architecture. The way we develop backend software has fundamentally changed in the last ten years. Managing a microservices architecture demands a lot of us to ensure observability and operational resiliency. But did you also change the way you run your development teams?
Sven will talk about Atlassian’s journey from a monolith to a multi-tenanted architecture and how it affected the way the engineering teams work. You will learn how we shifted to service ownership, moved to more autonomous teams (and its challenges), and established platform and enablement teams.
UI5con 2024 - Boost Your Development Experience with UI5 Tooling ExtensionsPeter Muessig
The UI5 tooling is the development and build tooling of UI5. It is built in a modular and extensible way so that it can be easily extended by your needs. This session will showcase various tooling extensions which can boost your development experience by far so that you can really work offline, transpile your code in your project to use even newer versions of EcmaScript (than 2022 which is supported right now by the UI5 tooling), consume any npm package of your choice in your project, using different kind of proxies, and even stitching UI5 projects during development together to mimic your target environment.
OpenMetadata Community Meeting - 5th June 2024OpenMetadata
The OpenMetadata Community Meeting was held on June 5th, 2024. In this meeting, we discussed about the data quality capabilities that are integrated with the Incident Manager, providing a complete solution to handle your data observability needs. Watch the end-to-end demo of the data quality features.
* How to run your own data quality framework
* What is the performance impact of running data quality frameworks
* How to run the test cases in your own ETL pipelines
* How the Incident Manager is integrated
* Get notified with alerts when test cases fail
Watch the meeting recording here - https://www.youtube.com/watch?v=UbNOje0kf6E
A Study of Variable-Role-based Feature Enrichment in Neural Models of CodeAftab Hussain
Understanding variable roles in code has been found to be helpful by students
in learning programming -- could variable roles help deep neural models in
performing coding tasks? We do an exploratory study.
- These are slides of the talk given at InteNSE'23: The 1st International Workshop on Interpretability and Robustness in Neural Software Engineering, co-located with the 45th International Conference on Software Engineering, ICSE 2023, Melbourne Australia
What is Augmented Reality Image Trackingpavan998932
Augmented Reality (AR) Image Tracking is a technology that enables AR applications to recognize and track images in the real world, overlaying digital content onto them. This enhances the user's interaction with their environment by providing additional information and interactive elements directly tied to physical images.
Artificia Intellicence and XPath Extension FunctionsOctavian Nadolu
The purpose of this presentation is to provide an overview of how you can use AI from XSLT, XQuery, Schematron, or XML Refactoring operations, the potential benefits of using AI, and some of the challenges we face.
8 Best Automated Android App Testing Tool and Framework in 2024.pdfkalichargn70th171
Regarding mobile operating systems, two major players dominate our thoughts: Android and iPhone. With Android leading the market, software development companies are focused on delivering apps compatible with this OS. Ensuring an app's functionality across various Android devices, OS versions, and hardware specifications is critical, making Android app testing essential.
E-Invoicing Implementation: A Step-by-Step Guide for Saudi Arabian CompaniesQuickdice ERP
Explore the seamless transition to e-invoicing with this comprehensive guide tailored for Saudi Arabian businesses. Navigate the process effortlessly with step-by-step instructions designed to streamline implementation and enhance efficiency.
7. 8
Managers and Decision Making:
Why Computerized Support?
• The MANAGERS are always responsible
for decision making
Decision Support Systems and Intelligent Systems, Efraim Turban and Jay E. Aronson, 6th edition.
Copyright 2001, Prentice Hall, Upper Saddle River, NJ
10. 11
Managerial Decision Making and
Information Systems
• Management is a process by which
organizational goals are achieved through the
use of resources
• Resources: Inputs
• Goal Attainment: Output
• Measuring Success:
Productivity = Outputs / Inputs
Decision Support Systems and Intelligent Systems, Efraim Turban and Jay E. Aronson, 6th edition.
Copyright 2001, Prentice Hall, Upper Saddle River, NJ
18. 19
Three Phase Decision-making
Process (Simon)
• Intelligence--searching for conditions that call for
decisions.
• Design--inventing, developing, and analyzing possible
courses of action.
• Choice--selecting a course of action from those
available.
Decision Support Systems and Intelligent Systems, Efraim Turban and Jay E. Aronson, 6th edition.
Copyright 2001, Prentice Hall, Upper Saddle River, NJ
22. Turban, Aronson, Liang
Sauter
26
Enterprise Information Systems
• Evolved from Executive Information
Systems combined with Web technologies
• EIPs view information across entire
organizations
• Provide rapid access to detailed
information through drill-down.
• Provide user-friendly interfaces through
portals.
• Identifies opportunities and threats
23. Turban, Aronson, Liang
Sauter
27
Enterprise Information
Systems
• Specialized systems include
ERM/ERP, CRM, and SCM
• Provides timely and effective
corporate level tracking and control.
• Filter, compress, and track critical
data and information.
25. Turban, Aronson, Liang
Sauter
29
Issues in Knowledge Management
Systems
• Where to find knowledge
• How to classify it
• How to ensure its quality
• How to store it
• How to maintain it
• How to use it
• Motivate people to contribute their knowledge
• People who leave the organization take their
knowledge with them
26. KMS Application: Xerox Experience
• Problem: With decreasing demand for copying, Xerox
strugled to survive the digital revolution.
• Solution Method: Developed an intranet based knowledge
repository in 1996 to support sales people to quickly answer
customers’ queries.
• Result: Days of investigations have decreased to a few
minutes.
• Implications:
– Questions and solutions are indexed to easily retrieve information in the
latter requests. So the system improves itself.
– Accumulated knowledge is analyzed to learn the products strenghts,
weaknesses, customer trends, etc.
• Challenges in organizational culture change:
– Persuade people to share knowledge.
– Learn to use intranet and KMS.
Turban, Aronson, Liang
Sauter
30
27. Turban, Aronson, Liang
Sauter
31
Expert Systems
Decison makers ask for expert opinions!
• ES Attempts to mimic human experts’ problem
solving
• Uses technologies that apply reasoning
methodologies in a specific domain
• Examples include:
– Artificial Intelligence Systems
– Artificial Neural Networks (neural computing)
– Genetic Algorithms
– Fuzzy Logic
– Intelligent Agents
• Most ES software is implemented on the web tools
(java applets), installed on web servers and use
web browsers for interfaces. Ex: Corvid Exsys
28. Turban, Aronson, Liang
Sauter
32
Group Support Systems
• Getting people at one place is expensive and time
consuming
• Time limitation to give the decision
• Traditional meetings last long
Systems that provide interaction and communication
between people with the aid of IT are called
collaborative computing systems,
groupware systems, electronic systems, or simply
GSS
• Videoconferencing, audioconferencing, voting,
document sharing, etc..