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Chapter 09 dss-mis-eis-es-ai
This document discusses decision support systems and artificial intelligence applications in business. It covers topics like management information systems, online analytical processing, dashboards, expert systems, neural networks, and more. The key learning objectives are to identify how these technologies can support business decisions and to give examples of their uses. Case studies provide real-world illustrations of dashboard tools, automated decision making, and AI implementation challenges.
Mss
Management Support Systems (MSS) enable senior management to access common, shared sources of internal and external information that have been summarized in easy-to-access, graphical displays. The most successful MSS are developed as one aspect of a distributed, enterprise information system that enables flexible and integrated information sharing and communication both inside organizations and with external partners. MSS function as an integrated approach to sharing information in an easy-to-use, highly visual, and personalized way so managers can get up-to-date information on industry news, competitor trends, and internal activities.
Decision Support Systems
El campo de DSS / BI esta evolucionando desde sus origenes como una herramienta primariamente de soporte personal y está rapidamente llegando a ser una comodidad compartida a traves de de las organizaciones
Decision supportsystems
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.
Chapter 1 introduction to information system
This document provides an overview of key concepts related to information systems. It defines an information system as an organized combination of people, hardware, software, data, networks and procedures that stores, retrieves, transforms and disseminates information in an organization. The document also discusses the types of information systems, including operations support systems that efficiently process transactions, and management support systems that provide information to support managerial decision making.
Mss
Management Support Systems (MSS) enable senior management to access common, shared sources of internal and external information that have been summarized in easy-to-access, graphical displays. MSS function as an integrated approach to sharing information in an easy-to-use, highly visual, and personalized way so that managers can get up-to-date information on industry news, competitor trends, and internal operations. The most successful MSS are developed as one aspect of a distributed, enterprise information system that enables flexible and integrated information sharing inside and outside organizations.
Executive support system
Executive Support Systems (ESS) provide executives with quick access to consolidated data from across an organization through easy-to-use reports and analytical tools. This helps executives make more informed business decisions by saving them time spent compiling data themselves and allowing them to identify patterns and issues. An ESS alerts executives to key metrics like slow-moving inventory, helping them take proactive steps rather than reacting to external factors. The system also empowers other departments to support executive decision-making.
Decision Support Systems: Concept, Constructing a DSS, Executive Information ...
Decision Support Systems: Concept, Constructing a DSS,
Executive Information System, (EIS), Artifical Intelligence
System (AIS), knowledge Based Expert System (KBES),
Enterprise Management System (EMS), Decision Support
Management System (DSMS).
Recommended
Chapter 09 dss-mis-eis-es-ai
This document discusses decision support systems and artificial intelligence applications in business. It covers topics like management information systems, online analytical processing, dashboards, expert systems, neural networks, and more. The key learning objectives are to identify how these technologies can support business decisions and to give examples of their uses. Case studies provide real-world illustrations of dashboard tools, automated decision making, and AI implementation challenges.
Mss
Management Support Systems (MSS) enable senior management to access common, shared sources of internal and external information that have been summarized in easy-to-access, graphical displays. The most successful MSS are developed as one aspect of a distributed, enterprise information system that enables flexible and integrated information sharing and communication both inside organizations and with external partners. MSS function as an integrated approach to sharing information in an easy-to-use, highly visual, and personalized way so managers can get up-to-date information on industry news, competitor trends, and internal activities.
Decision Support Systems
El campo de DSS / BI esta evolucionando desde sus origenes como una herramienta primariamente de soporte personal y está rapidamente llegando a ser una comodidad compartida a traves de de las organizaciones
Decision supportsystems
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.
Chapter 1 introduction to information system
This document provides an overview of key concepts related to information systems. It defines an information system as an organized combination of people, hardware, software, data, networks and procedures that stores, retrieves, transforms and disseminates information in an organization. The document also discusses the types of information systems, including operations support systems that efficiently process transactions, and management support systems that provide information to support managerial decision making.
Mss
Management Support Systems (MSS) enable senior management to access common, shared sources of internal and external information that have been summarized in easy-to-access, graphical displays. MSS function as an integrated approach to sharing information in an easy-to-use, highly visual, and personalized way so that managers can get up-to-date information on industry news, competitor trends, and internal operations. The most successful MSS are developed as one aspect of a distributed, enterprise information system that enables flexible and integrated information sharing inside and outside organizations.
Executive support system
Executive Support Systems (ESS) provide executives with quick access to consolidated data from across an organization through easy-to-use reports and analytical tools. This helps executives make more informed business decisions by saving them time spent compiling data themselves and allowing them to identify patterns and issues. An ESS alerts executives to key metrics like slow-moving inventory, helping them take proactive steps rather than reacting to external factors. The system also empowers other departments to support executive decision-making.
Decision Support Systems: Concept, Constructing a DSS, Executive Information ...
Decision Support Systems: Concept, Constructing a DSS,
Executive Information System, (EIS), Artifical Intelligence
System (AIS), knowledge Based Expert System (KBES),
Enterprise Management System (EMS), Decision Support
Management System (DSMS).
How to build management information system
The document provides guidance on building an effective management information system in 6 steps: 1) Analyze business procedures and map existing systems; 2) Identify all necessary data to capture; 3) Determine required hardware and software; 4) Purchase equipment and develop custom software; 5) Test the system extensively; and 6) Launch the system with training. The goal is to understand a business's operations and build a system that streamlines processes and enhances data usability.
Executive Information System
An Executive Information System (EIS) provides high-level, cross-functional data from across an organization to executives and senior managers. EIS displays this information visually through graphical interfaces that allow users to drill down into different levels of detail on areas of interest. It also highlights key performance indicators through colors to draw attention to metrics that are below tolerance levels. EIS helps executives make strategic decisions, boost work efficiency, and facilitate communication between different levels of management.
Information And Decision Support System
This document discusses different types of management information systems and decision support systems. It describes management information systems as providing managers with information to support decision making and monitor daily operations. Decision support systems are organized collections of tools used to support problem-specific decision making. Group support systems add collaboration functionality, while executive support systems are tailored specifically for senior executives. Key types of systems include management information systems, decision support systems, group support systems, and executive support systems.
Dss es nn fuzzy l vr etc
Decision support systems use analytical models, specialized databases, and interactive computer-based modeling to support semi-structured business decisions. They provide information and techniques to analyze specific problems in a flexible format. Common components of decision support systems include a model base containing analytical models and a knowledge base for expert systems. Popular applications of decision support include data mining, forecasting, optimization, and knowledge discovery.
decision support system
This document provides information on decision support systems (DSS). It discusses definitions of DSS and how they support decision making. DSS can take many forms, from model-driven to data-driven systems. The document outlines frameworks for developing DSS and describes different types of DSS including passive, active, and cooperative systems. It also discusses applications of DSS in areas like business and agriculture.
Chapter 09 dss mis eis es ai
This chapter discusses decision support systems (DSS) and how they differ from traditional management information systems (MIS). DSS provide interactive support to managers during semistructured decision making through tools like analytical models, databases, and computer modeling. MIS produce predefined reports to support more structured decisions. The chapter outlines several types of DSS including executive information systems, enterprise portals, online analytical processing (OLAP), geographic information systems, and data visualization systems. It also discusses how various analytical techniques can be used in DSS to support decision making.
information system lecture notes
This document discusses organizing data and information in databases. It covers database concepts like data entities, attributes, keys and the hierarchy of data. The advantages of the database approach are outlined, which include consistent data definitions, centralized data administration, data independence and data sharing. Popular database management systems allow users to define, construct and maintain database for storage, retrieval and use of data.
Decision support system
This document discusses decision support systems (DSS) and online analytical processing (OLAP). It defines DSS as interactive computer systems that help managers make decisions, using tools like analytical models, databases, and modeling processes. OLAP enables examining and manipulating large amounts of consolidated data from different perspectives. Both DSS and OLAP support analysis of operational data, markets, sales, and customers to help with decisions around pricing, forecasting, and risk.
BI and DSS
The document discusses decision support systems (DSS), business intelligence (BI), and an Automated Intelligent Decision Support System (AIDSS) for human resource management. It defines these concepts and outlines some of their key features. Specifically, it explains that DSS help decision-making, BI aims to support better business decisions using tools like reporting and analytics, and AIDSS is a specific DSS that uses AI to help with HR challenges like employee performance. It also provides details on the development of AIDSS, including its modules for the user interface, data input/editing, intelligent analysis, and data storage/protection.
MIS 17 Cross-Functional Enterprise Systems
These presentations are created by Tushar B Kute to teach the subject 'Management Information System' subject of TEIT of University of Pune.
http://www.tusharkute.com
Eis
An executive information system (EIS) is a type of decision support system designed to support decision making at the top level of an organization. An EIS provides executives easy access to internal and external information like operations summaries and competitor activities through graphs and charts. It aims to improve executive effectiveness, efficiency, and decision making through enhanced communication and identification of trends. While EIS have benefits, they also face challenges like high costs, technological limitations, and organizational fit that must be addressed for success.
Management Support System
The document discusses different types of information systems used in organizations:
1. Expert systems use knowledge from experts to provide answers to questions.
2. Decision support systems provide interactive support to help with decision making by analyzing multiple data and models.
3. Executive information systems provide structured information to senior executives.
It also discusses key concepts in developing decision support systems like the iterative design process and components such as the user interface, data management, and model management.
Decision Support System
The document discusses decision support systems for planning and scheduling. It covers application areas like manufacturing and services, system requirements, optimization techniques, and implementation issues. The key topics include common optimization techniques like dispatching rules, integer programming, and local search methods. It also discusses interface design, modular system architecture, and commercial scheduling packages.
Decision support system & Management Information System
A Decision Support System is a computer-based information system that supports business or organizational decision-making activities.
A DSS is a collection of integrated software applications and hardware that form the backbone of an organization’s decision making process and help to make decisions, which may be rapidly changing and not easily specified in advance.
Management information system (MIS) is
Integrated collection of people, procedures, databases, and devices Provides managers and decision makers with information to help achieve organizational goals.
Decision Support System
A Decision Support System (DSS) is a computer-based information system that supports business or organizational decision-making. It can help managers at different levels of an organization make decisions by providing tools to access and analyze data. A DSS combines data, documents, knowledge, and models to help identify and solve problems. It has evolved over time from focusing on data and models to also include knowledge and documents. A DSS is made up of a database, models, and a user interface. It aims to support semi-structured and unstructured decision-making.
Enterprise Information Systems
This document provides an overview of enterprise information systems. It discusses topics like supply chain management, customer relationship management, business intelligence, knowledge management, and business process management. It also provides contact information for the author and outlines an agenda for enterprise information systems training in 2008.
DEVELOPMENT PROCESS OF MIS
The document discusses the development process of management information systems (MIS). It covers determining business and MIS goals and strategies, developing the MIS plan, handling uncertainties, and approaches to MIS development and implementation. The MIS plan should align with the business plan and support business decisions. It also discusses factors for MIS success, such as focusing on business objectives, and factors for failures, such as not meeting users' information needs.
Bi & d wglossary
This document provides definitions for various terms related to data warehousing and business intelligence. It contains over 50 definitions organized alphabetically ranging from terms like "activity" to "workflow". The definitions are concise explanations of the key concepts in 3 sentences or less.
Data processing in Industrial Systems course notes after week 5
This document discusses database management systems and decision support systems. It begins by outlining some of the challenges with traditional information processing approaches, such as data redundancy and lack of flexibility. It then introduces database management systems as a solution, highlighting their ability to reduce redundancy and integrate related data. Key features of DBMS like logical data structures and relational models are explained. The document also covers decision support systems, noting that they provide interactive support during decision making by using analytical models, specialized databases, and the insights of decision makers. Major components of DSS like model bases are outlined.
Inventory management
This document discusses inventory management. It defines inventory as materials obtained in advance of need that are held until used or sold. There are different types of inventories like raw materials, work in process, finished goods, and spare parts. Inventory valuation involves determining quality and assigning values. Costs associated with inventory include purchasing, ordering, holding, and shortage costs. The economic order quantity formula balances ordering and holding costs. Inventory control aims to have the right materials in the right quantity at the lowest cost through policies, stock levels, lead times, and order sizes.
Inventory and manufacturing system migration - case study
The document discusses a case study of modernizing a client's inventory and manufacturing modules. The client is a leading education company that needed to standardize its technology stack, increase availability, and reduce costs. The key tasks of the project were to reverse engineer the existing applications, change the architecture to support a new J2EE, Struts, and EJB stack, introduce load balancing and caching, and integrate the applications on a common platform. The benefits included improved user experience, high availability, faster response times, internal branding, integrated solutions, and lower maintenance costs. Lessons learned focused on scope management, code refactoring, performance testing, and automating regression testing.
Project Quality Management
The document discusses project quality management. It describes quality management as including the processes required to ensure a project satisfies its intended needs. There are three key quality processes: plan quality, perform quality assurance, and perform quality control. Planning quality involves determining quality policies and standards. Quality assurance ensures adherence to quality standards. Quality control monitors whether quality standards are being met. The document provides details on various tools and techniques used for each quality process.
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What's hot
How to build management information system
The document provides guidance on building an effective management information system in 6 steps: 1) Analyze business procedures and map existing systems; 2) Identify all necessary data to capture; 3) Determine required hardware and software; 4) Purchase equipment and develop custom software; 5) Test the system extensively; and 6) Launch the system with training. The goal is to understand a business's operations and build a system that streamlines processes and enhances data usability.
Executive Information System
An Executive Information System (EIS) provides high-level, cross-functional data from across an organization to executives and senior managers. EIS displays this information visually through graphical interfaces that allow users to drill down into different levels of detail on areas of interest. It also highlights key performance indicators through colors to draw attention to metrics that are below tolerance levels. EIS helps executives make strategic decisions, boost work efficiency, and facilitate communication between different levels of management.
Information And Decision Support System
This document discusses different types of management information systems and decision support systems. It describes management information systems as providing managers with information to support decision making and monitor daily operations. Decision support systems are organized collections of tools used to support problem-specific decision making. Group support systems add collaboration functionality, while executive support systems are tailored specifically for senior executives. Key types of systems include management information systems, decision support systems, group support systems, and executive support systems.
Dss es nn fuzzy l vr etc
Decision support systems use analytical models, specialized databases, and interactive computer-based modeling to support semi-structured business decisions. They provide information and techniques to analyze specific problems in a flexible format. Common components of decision support systems include a model base containing analytical models and a knowledge base for expert systems. Popular applications of decision support include data mining, forecasting, optimization, and knowledge discovery.
decision support system
This document provides information on decision support systems (DSS). It discusses definitions of DSS and how they support decision making. DSS can take many forms, from model-driven to data-driven systems. The document outlines frameworks for developing DSS and describes different types of DSS including passive, active, and cooperative systems. It also discusses applications of DSS in areas like business and agriculture.
Chapter 09 dss mis eis es ai
This chapter discusses decision support systems (DSS) and how they differ from traditional management information systems (MIS). DSS provide interactive support to managers during semistructured decision making through tools like analytical models, databases, and computer modeling. MIS produce predefined reports to support more structured decisions. The chapter outlines several types of DSS including executive information systems, enterprise portals, online analytical processing (OLAP), geographic information systems, and data visualization systems. It also discusses how various analytical techniques can be used in DSS to support decision making.
information system lecture notes
This document discusses organizing data and information in databases. It covers database concepts like data entities, attributes, keys and the hierarchy of data. The advantages of the database approach are outlined, which include consistent data definitions, centralized data administration, data independence and data sharing. Popular database management systems allow users to define, construct and maintain database for storage, retrieval and use of data.
Decision support system
This document discusses decision support systems (DSS) and online analytical processing (OLAP). It defines DSS as interactive computer systems that help managers make decisions, using tools like analytical models, databases, and modeling processes. OLAP enables examining and manipulating large amounts of consolidated data from different perspectives. Both DSS and OLAP support analysis of operational data, markets, sales, and customers to help with decisions around pricing, forecasting, and risk.
BI and DSS
The document discusses decision support systems (DSS), business intelligence (BI), and an Automated Intelligent Decision Support System (AIDSS) for human resource management. It defines these concepts and outlines some of their key features. Specifically, it explains that DSS help decision-making, BI aims to support better business decisions using tools like reporting and analytics, and AIDSS is a specific DSS that uses AI to help with HR challenges like employee performance. It also provides details on the development of AIDSS, including its modules for the user interface, data input/editing, intelligent analysis, and data storage/protection.
MIS 17 Cross-Functional Enterprise Systems
These presentations are created by Tushar B Kute to teach the subject 'Management Information System' subject of TEIT of University of Pune.
http://www.tusharkute.com
Eis
An executive information system (EIS) is a type of decision support system designed to support decision making at the top level of an organization. An EIS provides executives easy access to internal and external information like operations summaries and competitor activities through graphs and charts. It aims to improve executive effectiveness, efficiency, and decision making through enhanced communication and identification of trends. While EIS have benefits, they also face challenges like high costs, technological limitations, and organizational fit that must be addressed for success.
Management Support System
The document discusses different types of information systems used in organizations:
1. Expert systems use knowledge from experts to provide answers to questions.
2. Decision support systems provide interactive support to help with decision making by analyzing multiple data and models.
3. Executive information systems provide structured information to senior executives.
It also discusses key concepts in developing decision support systems like the iterative design process and components such as the user interface, data management, and model management.
Decision Support System
The document discusses decision support systems for planning and scheduling. It covers application areas like manufacturing and services, system requirements, optimization techniques, and implementation issues. The key topics include common optimization techniques like dispatching rules, integer programming, and local search methods. It also discusses interface design, modular system architecture, and commercial scheduling packages.
Decision support system & Management Information System
A Decision Support System is a computer-based information system that supports business or organizational decision-making activities.
A DSS is a collection of integrated software applications and hardware that form the backbone of an organization’s decision making process and help to make decisions, which may be rapidly changing and not easily specified in advance.
Management information system (MIS) is
Integrated collection of people, procedures, databases, and devices Provides managers and decision makers with information to help achieve organizational goals.
Decision Support System
A Decision Support System (DSS) is a computer-based information system that supports business or organizational decision-making. It can help managers at different levels of an organization make decisions by providing tools to access and analyze data. A DSS combines data, documents, knowledge, and models to help identify and solve problems. It has evolved over time from focusing on data and models to also include knowledge and documents. A DSS is made up of a database, models, and a user interface. It aims to support semi-structured and unstructured decision-making.
Enterprise Information Systems
This document provides an overview of enterprise information systems. It discusses topics like supply chain management, customer relationship management, business intelligence, knowledge management, and business process management. It also provides contact information for the author and outlines an agenda for enterprise information systems training in 2008.
DEVELOPMENT PROCESS OF MIS
The document discusses the development process of management information systems (MIS). It covers determining business and MIS goals and strategies, developing the MIS plan, handling uncertainties, and approaches to MIS development and implementation. The MIS plan should align with the business plan and support business decisions. It also discusses factors for MIS success, such as focusing on business objectives, and factors for failures, such as not meeting users' information needs.
Bi & d wglossary
This document provides definitions for various terms related to data warehousing and business intelligence. It contains over 50 definitions organized alphabetically ranging from terms like "activity" to "workflow". The definitions are concise explanations of the key concepts in 3 sentences or less.
Data processing in Industrial Systems course notes after week 5
This document discusses database management systems and decision support systems. It begins by outlining some of the challenges with traditional information processing approaches, such as data redundancy and lack of flexibility. It then introduces database management systems as a solution, highlighting their ability to reduce redundancy and integrate related data. Key features of DBMS like logical data structures and relational models are explained. The document also covers decision support systems, noting that they provide interactive support during decision making by using analytical models, specialized databases, and the insights of decision makers. Major components of DSS like model bases are outlined.
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Decision support system & Management Information System
Decision support system & Management Information System
Data processing in Industrial Systems course notes after week 5
Data processing in Industrial Systems course notes after week 5
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Inventory and manufacturing system migration - case study
The document discusses a case study of modernizing a client's inventory and manufacturing modules. The client is a leading education company that needed to standardize its technology stack, increase availability, and reduce costs. The key tasks of the project were to reverse engineer the existing applications, change the architecture to support a new J2EE, Struts, and EJB stack, introduce load balancing and caching, and integrate the applications on a common platform. The benefits included improved user experience, high availability, faster response times, internal branding, integrated solutions, and lower maintenance costs. Lessons learned focused on scope management, code refactoring, performance testing, and automating regression testing.
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The document discusses project quality management. It describes quality management as including the processes required to ensure a project satisfies its intended needs. There are three key quality processes: plan quality, perform quality assurance, and perform quality control. Planning quality involves determining quality policies and standards. Quality assurance ensures adherence to quality standards. Quality control monitors whether quality standards are being met. The document provides details on various tools and techniques used for each quality process.
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- 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.
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Week 9
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.
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This document discusses new technologies that allow customers to purchase items using their cell phones by charging purchases to their phone bills. It could threaten traditional phone companies and they may need counterstrategies. Porter's 5 forces model is discussed to analyze barriers to entry and switching costs for this new technology. Mobile commerce and smartphones are also summarized, along with decision support systems, business intelligence, artificial intelligence techniques, and enterprise systems.
Maximizing supply-chain efficiency with HP Business Availability Center for S...
Maximizing supply-chain efficiency with HP Business Availability Center for Supply Chain Applications
This document discusses how HP Business Availability Center (BAC) can be used to maximize supply chain efficiency for supply chain applications. BAC provides monitoring, reporting, and dashboards to give visibility into key performance indicators for the supply chain. It integrates data from warehouse management systems, discovers dependencies, and provides alerts. This allows issues to be addressed quickly and management to make data-driven decisions. The solution benefits include real-time alerts, proactive management, quick access to metrics, and driven efficiency through reporting.
MIS presentation
Management information systems (MIS) collect, process, store, and distribute data to support decision-making and control in organizations. Decision support systems (DSS) are a type of information system that supports business or organizational decision-making activities. DSS provide analysis of information to help decision makers choose among alternative solutions. There are different types of DSS, including communication-driven, data-driven, document-driven, knowledge-driven, model-driven, spreadsheet-based, and web-based systems. DSS use analytical tools like what-if analysis, sensitivity analysis, goal-seeking analysis, and optimization analysis to help decision makers evaluate alternatives.
DSS Presentation1.pptx
The document discusses the key steps in constructing a decision support system (DSS): identifying the problem, collecting and analyzing data, developing models, testing models, and implementing the system. It provides details on each step, such as gathering internal and external data sources and using statistical analysis and data mining techniques. The document also covers DSS development approaches like prototyping versus the system development life cycle and discusses factors to consider when selecting DSS tools and generators.
Chapter 10 supporting decision making
The document discusses various types of information systems that support decision making. It describes management information systems that provide routine operational reports, decision support systems that help with semi-structured tactical decisions through modeling and analysis, and executive information systems that provide customized insights to top executives. The document also covers data warehousing, data mining, expert systems, and emerging trends like personalized decision support and what-if scenario analysis.
Chap009.ppt
This document summarizes a chapter about enabling organizational decision making through technology. It discusses the importance of decision making at operational, managerial, and strategic levels. It also describes different types of management information systems that support decision making, including operational support systems, managerial support systems, and strategic support systems. Finally, it discusses artificial intelligence and five main types: expert systems, neural networks, genetic algorithms, intelligent agents, and virtual reality.
Database Systems.ppt
The document describes an entity-relationship (E-R) diagram for a housing repair management system. The E-R diagram models the key entities such as Housing Society, Housing Units, Residents, Maintenance Requests, Repair Jobs, and Tradesmen. It shows the relationships between these entities, such as a Housing Unit belonging to a Housing Society, a Maintenance Request being submitted by a Resident for a Housing Unit, and a Repair Job being carried out by a Tradesman on a Housing Unit. The E-R diagram provides a conceptual model of the data and relationships for the housing repair management system.
Data Management Strategy
Another presentation that was showcased in 2006.
Cleaned up version is uploaded to remove some discreet names.
Critical Success Factors
Use open technology that facilitates tight integration between various systems. DW does not work without integrational synergies
MIS Q & A for III B.Sc C & HA
Here are the key steps involved in designing reports in MS Access:
1. Determine the purpose and scope of the report. Define what information needs to be included, the layout, and how it will be used.
2. Select the fields and tables. Choose which fields from which tables will be used in the report. Determine any filters, grouping, or sorting needed.
3. Design the report layout. Decide how the data will be organized and formatted on the page such as sections, headers, footers, grouping etc.
4. Format the report design. Apply styles, colors, fonts, page setup etc. to enhance readability and appearance. Add calculated fields, charts/graphs if needed.
Global e-Business and Decision Support System.pptx
This document discusses business processes and how information systems can enhance them. It provides examples of common business processes like manufacturing, sales, finance, and human resources. It then explains how information technology can increase efficiency, automate manual processes, enable new processes, and support new business models. It also describes transaction processing systems as systems that perform routine transactions and allow managers to monitor operations. Finally, it discusses management information systems and how they obtain data from transaction processing systems to generate summary and exception reports for managers.
Data mining and data warehousing
Data mining and data warehousing, database management system, Data mining and data warehousing, complete presentation of Data mining and data warehousing,
11626 Bitt I 2008 Lec 2
The document discusses various topics related to business intelligence including:
1. It provides an overview of different types of databases and their purposes such as operational, distributed, external, and hypermedia databases.
2. It introduces concepts such as enterprise resource planning (ERP), customer relationship management (CRM), supply chain management (SCM), and decision support systems.
3. It presents a framework for business intelligence (BI) including key components such as data warehousing, business analytics, data mining, and dashboards.
Mss
Management Support Systems (MSS) enable senior management to access common, shared sources of internal and external information that have been summarized in easy-to-access, graphical displays. The most successful MSS are developed as one aspect of a distributed, enterprise information system that enables flexible and integrated information sharing and communication both inside organizations and with external partners. MSS function as an integrated approach to sharing information in an easy-to-use, highly visual, and personalized way so managers can get up-to-date information on industry news, competitor trends, and internal activities.
Dashboards Beyond the Boardroom
Case studies of successful implementations of dashboards outside the traditional use of executive summary.
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Manufacturing
- 2. MANUFACTURING Manufacturing Processes Inward Goods Inspection Storage Inventory Control Quality Control Acceptance Testing Packaging Storage Sales Invoicing Accounts Dispatch Shipment
- 13. Information required at different management levels 9-
- 17. Attributes of Information Quality 9-
- 19. Information Systems to support decisions 9- Management Information Systems Decision Support Systems Decision support provided Provide information about the performance of the organization Provide information and techniques to analyze specific problems Information form and frequency Periodic, exception, demand, and push reports and responses Interactive inquiries and responses Information format Prespecified, fixed format Ad hoc, flexible, and adaptable format Information processing methodology Information produced by extraction and manipulation of business data Information produced by analytical modeling of business data
- 39. Enterprise Information Portal Components 9-
- 41. Enterprise Knowledge Portals 9-
- 45. Domains of Artificial Intelligence 9-
- 51. Expert System Components 9-