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ALISON: Diploma in Project Management

Questions & Answers about The analysis phase - The Analysis Phase: identification and description of problem areas in the current system

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- Module: The analysis phase
- Topic: The Analysis Phase: identification and description of problem areas in the current system

Latest Questions

  • ANNETTE ROBINSON United States of America Does anyone understand the flow sheet? Please explain? I understand what's being said however I am lost with where to start, at the bottom or the top.
    2014-09-09 13:09:21

    • Nadisha McIntosh McKay Jamaica The flow chart begins at "Calculate Class grades" then to "Class/grades file" back to "Calculate Class grades" then both current & finale grade goes to "Teacher" then to both "Students" & "Calculate university grades" which are current and finale grade respectively. From "Calculate university grades" to "Student file" back to "Calculate university grades" to "Registrar" to the "Students" at that point the "Students" will query there finale grades.
      2014-09-18 02:09:58
  • 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 20:07:54

    • Yai Deng Yai South Sudan What is the importance of this phase?
      2014-08-25 18:08:48
  • 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 20:07:43

    • Yai Deng Yai South Sudan How can you describe the analysis phase in your own words.?
      2014-08-25 18:08:40
  • 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 20:07:29

    • Yai Deng Yai South Sudan How can you compare this phase with other tools?
      2014-08-25 18:08:22
  • 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 20:07:07

  • 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 20:07:54

  • Oluwanike Ajayi Nigeria How can one use the method of sampling to trace procedural path and information?
    2014-07-11 13:07:32

    • Yai Deng Yai South Sudan Through proper study of Data Follow Diagrams.
      2014-08-25 18:08:17
  • ToeToe Aung Singapore What are the procedures to reconstruct the DFDs of the development life cycle?
    2014-06-29 07:06:26

    • Yai Deng Yai South Sudan When the relevant information has been gathered and analyzed.
      2014-08-25 18:08:16
    • Daniel Chol Koknyin South Sudan Identification, , collection of the data, improvement, describe and reconstruction of the data form the basis of DFDs development life cycle.
      2014-07-05 21:07:11
  • Reza Abbasi Iran What is the final stage of the analysis phase?
    2014-06-22 16:06:01

    • Yai Deng Yai South Sudan Communication of system change to the stakeholders and participants as well as project team members.
      2014-08-25 18:08:44
    • Michael Odoh Nigeria the final stage is : creating a design proposal
      2014-07-10 09:07:49
    • Satu Korhonen Finland Identification and description of problem areas in the current system, which are grouped and become the basis for the development of the new system is the final stage of the analysis phase
      2014-06-26 15:06:07
  • Reza Abbasi Iran What is the final stage of the analysis phase?
    2014-06-20 02:06:37

    • Yai Deng Yai South Sudan See answer above.
      2014-08-25 18:08:23
  • Sinter Magoli South Africa what is the difference between Data flow diagram,context diagram and Entity relation system
    2014-06-19 13:06:24

    • Yai Deng Yai South Sudan They both tools used when analyzing the current system and try to make some changes.
      2014-08-25 18:08:25
  • Annette Weizbauer Germany What is the basis for the development of the new system is the final stage of the analysis phase?
    2014-06-15 17:06:09

    • Yai Deng Yai South Sudan To obtain best system that leads to success.
      2014-08-25 18:08:16
    • Reza Abbasi Iran Identification and description of problem areas in the current system, which are grouped and become the basis for the development of the new system is the final stage of the analysis phase
      2014-06-20 02:06:38
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