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Comments about The analysis phase - The Analysis Phase: identification and evaluation of sources of information

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- Module: The analysis phase
- Topic: The Analysis Phase: identification and evaluation of sources of information

Latest Comments

  • Samuel Kofi Odoi Ghana In order to perform an analysis of a system, the first step must be to identify the sources of information that will provide views on the running of the current system. This will involve the users of the information the system produces, users of the actual system and people who support the system.
    2014-10-20 05:10:02

  • Ralph Webster South Africa When deciding what type of network was required for a new information system 3RRR management consulted staff extensively. View a video in which Kath Letch, Station Manager, discusses this process. In order to perform an analysis of a system, the first step must be to identify the sources of information that will provide views on the running of the current system. This will involve the users of the information the system produces, users of the actual system and people who support the system. Each of the groups will provide information that contributes to the construction of an overall picture of the running of the system. In each of the broad groups identified above, there will be different categories or subgroups within it. It is important that input is received from all of these parties so that a well-balanced overall view of the system can be developed.
    2014-10-19 11:10:52

  • Ralph Webster South Africa When deciding what type of network was required for a new information system 3RRR management consulted staff extensively. View a video in which Kath Letch, Station Manager, discusses this process. In order to perform an analysis of a system, the first step must be to identify the sources of information that will provide views on the running of the current system. This will involve the users of the information the system produces, users of the actual system and people who support the system. Each of the groups will provide information that contributes to the construction of an overall picture of the running of the system. In each of the broad groups identified above, there will be different categories or subgroups within it. It is important that input is received from all of these parties so that a well-balanced overall view of the system can be developed.
    2014-10-19 11:10:25

  • Linda Manzano United States of America People that may need to be part of the team, engineer, financial annalist, Programmer. etc... people that may be from different field but it will help with the project.
    2014-10-09 04:10:19

  • George Fragos Greece who are other people support the system?
    2014-10-01 10:10:19

  • ANNETTE ROBINSON United States of America How are the subgroups documented, on a chart?
    2014-09-09 13:09:21

  • Alexander Njoku Nigeria How can the issues that will arise in identifying and evaluating of sources of information be controlled?
    2014-08-06 15:08:45

    • Yai Deng Yai South Sudan Through analysis after gathering the relevant information about it.
      2014-08-25 17:08:56
  • Vikram Vasant Rotkar United Kingdom How to minimize the errors in large group communication?
    2014-07-21 18:07:58

    • Yai Deng Yai South Sudan By analysis hat would resoult in revsion of existing mode of communication system.
      2014-08-25 17:08:01
    • Glyn Chapman United Kingdom Collate the information to find reoccurring faults pointed out by multiple sources.
      2014-07-22 16:07:04
  • Jones Hanungu Munang'andu Zambia Management support Management reporting systems A large category of information systems comprises those designed to support the management of an organization. Those systems rely on data obtained by transaction processing systems, as well as data acquired outside the organization (such as business intelligence gleaned on the Internet) and data provided by business partners, suppliers, and customers. Information systems support all levels of management, from those in charge of short-term schedules and budgets for small work groups to those concerned with long-term plans and budgets for the entire organization. Management reporting systems provide routine, detailed, and voluminous information reports specific to each manager's areas of responsibility. Generally, these reports focus on past and present performance, rather than projecting future performance. To prevent information overload, reports are automatically sent only under exceptional circumstances or at the specific request of a manager. Decision support systems All information systems support decision making, however indirectly, but decision support systems are expressly designed for this purpose. The two principal varieties of decision support systems are model-driven and data-driven. In a model-driven decision support system, a preprogrammed model is applied to a limited data set, such as a sales database for the present quarter. During a typical session, an analyst or sales manager will conduct a dialog with this decision support system by specifying a number of “what-if” scenarios. For example, in order to establish a selling price for a new product, the sales manager may use a marketing decision support system. Such a system contains a preprogrammed model relating various factors—the price of the product, the cost of goods, and the promotion expense—to the projected sales volume over the first five years on the market. By supplying different product prices to the model, the manager can compare predicted results and select the most profitable selling price. The primary objective of data-driven decision support systems is to analyze large pools of data, accumulated over long periods of time in “data warehouses,” in a process known as data mining. Data mining searches for significant patterns, such as sequences (buying a new house, followed by a new dinner table) and clusters (large families and van sales), with which decisions can be made. Data-driven decision support systems include a variety of statistical models and rely on various artificial intelligence techniques, such as expert systems, neural networks, and intelligent agents. An important category of decision support systems enables a group of decision makers to work together without necessarily being in the same place at the same time. These group decision systems include software tools for brainstorming and reaching consensus. Another category, geographic information systems, can help analyze and display data by using digitized maps. By looking at a geographic distribution of mortgage loans, for example, one can easily establish a pattern of discrimination. Executive information systems Executive information systems make a variety of critical information readily available in a highly summarized and convenient form. Senior managers characteristically employ many informal sources of information, however, so that formal, computerized information systems are of limited assistance. Nevertheless, this assistance is important for the chief executive officer, senior and executive vice presidents, and the board of directors to monitor the performance of the company, assess the business environment, and develop strategic directions for the future. In particular, these executives need to compare their organization's performance with that of its competitors and investigate general economic trends in regions or countries for potential expansion. Often relying on multiple media, executive information systems give their users an opportunity to “drill down” from summary data to increasingly detailed and focused information.
    2014-07-20 20:07:50

  • Jones Hanungu Munang'andu Zambia Management support Management reporting systems A large category of information systems comprises those designed to support the management of an organization. Those systems rely on data obtained by transaction processing systems, as well as data acquired outside the organization (such as business intelligence gleaned on the Internet) and data provided by business partners, suppliers, and customers. Information systems support all levels of management, from those in charge of short-term schedules and budgets for small work groups to those concerned with long-term plans and budgets for the entire organization. Management reporting systems provide routine, detailed, and voluminous information reports specific to each manager's areas of responsibility. Generally, these reports focus on past and present performance, rather than projecting future performance. To prevent information overload, reports are automatically sent only under exceptional circumstances or at the specific request of a manager. Decision support systems All information systems support decision making, however indirectly, but decision support systems are expressly designed for this purpose. The two principal varieties of decision support systems are model-driven and data-driven. In a model-driven decision support system, a preprogrammed model is applied to a limited data set, such as a sales database for the present quarter. During a typical session, an analyst or sales manager will conduct a dialog with this decision support system by specifying a number of “what-if” scenarios. For example, in order to establish a selling price for a new product, the sales manager may use a marketing decision support system. Such a system contains a preprogrammed model relating various factors—the price of the product, the cost of goods, and the promotion expense—to the projected sales volume over the first five years on the market. By supplying different product prices to the model, the manager can compare predicted results and select the most profitable selling price. The primary objective of data-driven decision support systems is to analyze large pools of data, accumulated over long periods of time in “data warehouses,” in a process known as data mining. Data mining searches for significant patterns, such as sequences (buying a new house, followed by a new dinner table) and clusters (large families and van sales), with which decisions can be made. Data-driven decision support systems include a variety of statistical models and rely on various artificial intelligence techniques, such as expert systems, neural networks, and intelligent agents. An important category of decision support systems enables a group of decision makers to work together without necessarily being in the same place at the same time. These group decision systems include software tools for brainstorming and reaching consensus. Another category, geographic information systems, can help analyze and display data by using digitized maps. By looking at a geographic distribution of mortgage loans, for example, one can easily establish a pattern of discrimination. Executive information systems Executive information systems make a variety of critical information readily available in a highly summarized and convenient form. Senior managers characteristically employ many informal sources of information, however, so that formal, computerized information systems are of limited assistance. Nevertheless, this assistance is important for the chief executive officer, senior and executive vice presidents, and the board of directors to monitor the performance of the company, assess the business environment, and develop strategic directions for the future. In particular, these executives need to compare their organization's performance with that of its competitors and investigate general economic trends in regions or countries for potential expansion. Often relying on multiple media, executive information systems give their users an opportunity to “drill down” from summary data to increasingly detailed and focused information.
    2014-07-20 20:07:33

  • Jones Hanungu Munang'andu Zambia Management support Management reporting systems A large category of information systems comprises those designed to support the management of an organization. Those systems rely on data obtained by transaction processing systems, as well as data acquired outside the organization (such as business intelligence gleaned on the Internet) and data provided by business partners, suppliers, and customers. Information systems support all levels of management, from those in charge of short-term schedules and budgets for small work groups to those concerned with long-term plans and budgets for the entire organization. Management reporting systems provide routine, detailed, and voluminous information reports specific to each manager's areas of responsibility. Generally, these reports focus on past and present performance, rather than projecting future performance. To prevent information overload, reports are automatically sent only under exceptional circumstances or at the specific request of a manager. Decision support systems All information systems support decision making, however indirectly, but decision support systems are expressly designed for this purpose. The two principal varieties of decision support systems are model-driven and data-driven. In a model-driven decision support system, a preprogrammed model is applied to a limited data set, such as a sales database for the present quarter. During a typical session, an analyst or sales manager will conduct a dialog with this decision support system by specifying a number of “what-if” scenarios. For example, in order to establish a selling price for a new product, the sales manager may use a marketing decision support system. Such a system contains a preprogrammed model relating various factors—the price of the product, the cost of goods, and the promotion expense—to the projected sales volume over the first five years on the market. By supplying different product prices to the model, the manager can compare predicted results and select the most profitable selling price. The primary objective of data-driven decision support systems is to analyze large pools of data, accumulated over long periods of time in “data warehouses,” in a process known as data mining. Data mining searches for significant patterns, such as sequences (buying a new house, followed by a new dinner table) and clusters (large families and van sales), with which decisions can be made. Data-driven decision support systems include a variety of statistical models and rely on various artificial intelligence techniques, such as expert systems, neural networks, and intelligent agents. An important category of decision support systems enables a group of decision makers to work together without necessarily being in the same place at the same time. These group decision systems include software tools for brainstorming and reaching consensus. Another category, geographic information systems, can help analyze and display data by using digitized maps. By looking at a geographic distribution of mortgage loans, for example, one can easily establish a pattern of discrimination. Executive information systems Executive information systems make a variety of critical information readily available in a highly summarized and convenient form. Senior managers characteristically employ many informal sources of information, however, so that formal, computerized information systems are of limited assistance. Nevertheless, this assistance is important for the chief executive officer, senior and executive vice presidents, and the board of directors to monitor the performance of the company, assess the business environment, and develop strategic directions for the future. In particular, these executives need to compare their organization's performance with that of its competitors and investigate general economic trends in regions or countries for potential expansion. Often relying on multiple media, executive information systems give their users an opportunity to “drill down” from summary data to increasingly detailed and focused information.
    2014-07-20 20:07:21

  • Jones Hanungu Munang'andu Zambia Management support Management reporting systems A large category of information systems comprises those designed to support the management of an organization. Those systems rely on data obtained by transaction processing systems, as well as data acquired outside the organization (such as business intelligence gleaned on the Internet) and data provided by business partners, suppliers, and customers. Information systems support all levels of management, from those in charge of short-term schedules and budgets for small work groups to those concerned with long-term plans and budgets for the entire organization. Management reporting systems provide routine, detailed, and voluminous information reports specific to each manager's areas of responsibility. Generally, these reports focus on past and present performance, rather than projecting future performance. To prevent information overload, reports are automatically sent only under exceptional circumstances or at the specific request of a manager. Decision support systems All information systems support decision making, however indirectly, but decision support systems are expressly designed for this purpose. The two principal varieties of decision support systems are model-driven and data-driven. In a model-driven decision support system, a preprogrammed model is applied to a limited data set, such as a sales database for the present quarter. During a typical session, an analyst or sales manager will conduct a dialog with this decision support system by specifying a number of “what-if” scenarios. For example, in order to establish a selling price for a new product, the sales manager may use a marketing decision support system. Such a system contains a preprogrammed model relating various factors—the price of the product, the cost of goods, and the promotion expense—to the projected sales volume over the first five years on the market. By supplying different product prices to the model, the manager can compare predicted results and select the most profitable selling price. The primary objective of data-driven decision support systems is to analyze large pools of data, accumulated over long periods of time in “data warehouses,” in a process known as data mining. Data mining searches for significant patterns, such as sequences (buying a new house, followed by a new dinner table) and clusters (large families and van sales), with which decisions can be made. Data-driven decision support systems include a variety of statistical models and rely on various artificial intelligence techniques, such as expert systems, neural networks, and intelligent agents. An important category of decision support systems enables a group of decision makers to work together without necessarily being in the same place at the same time. These group decision systems include software tools for brainstorming and reaching consensus. Another category, geographic information systems, can help analyze and display data by using digitized maps. By looking at a geographic distribution of mortgage loans, for example, one can easily establish a pattern of discrimination. Executive information systems Executive information systems make a variety of critical information readily available in a highly summarized and convenient form. Senior managers characteristically employ many informal sources of information, however, so that formal, computerized information systems are of limited assistance. Nevertheless, this assistance is important for the chief executive officer, senior and executive vice presidents, and the board of directors to monitor the performance of the company, assess the business environment, and develop strategic directions for the future. In particular, these executives need to compare their organization's performance with that of its competitors and investigate general economic trends in regions or countries for potential expansion. Often relying on multiple media, executive information systems give their users an opportunity to “drill down” from summary data to increasingly detailed and focused information.
    2014-07-20 20:07:08

  • ToeToe Aung Singapore Any special ways can share with us to communicate with users since the views of users of the system are paramount while performing analysis of the current system.
    2014-06-28 11:06:26

    • Yai Deng Yai South Sudan Yes after review already planned system of communication and come uo with alternatives.
      2014-08-25 17:08:35
  • Satu Korhonen Finland Which groups must be consulted to find out about current strengths and weaknesses?
    2014-06-25 17:06:13

    • Yai Deng Yai South Sudan Users, stakeholders, technical team and so on.
      2014-08-25 17:08:31
    • Daniel Chol Koknyin South Sudan Users and those supporting it
      2014-07-05 19:07:19
  • Reza Abbasi Iran What is the first step In order to perform an analysis of a system ?
    2014-06-22 16:06:38

    • Yai Deng Yai South Sudan Planning.
      2014-08-25 17:08:03
  • Reza Abbasi Iran What is the first step In order to perform an analysis of a system ؟
    2014-06-20 01:06:30

  • Parhalad Saini India what is the information system 3RRR ?
    2014-06-18 05:06:12

    • Yai Deng Yai South Sudan get it below here.
      2014-08-25 17:08:35
    • Reza Abbasi Iran When deciding what type of network was required for a new information system 3RRR management consulted staff extensively. View a video in which Kath Letch, Station Manager, discusses this process.
      2014-06-20 01:06:40
  • Annette Weizbauer Germany When will one identify the sources of information that will provide views on the running of the current system?
    2014-06-15 17:06:36

    • Reza Abbasi Iran In order to perform an analysis of a system, the first step must be to identify the sources of information that will provide views on the running of the current system. This will involve the users of the information the system produces, users of the actual system and people who support the system.
      2014-06-20 01:06:07
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