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ALISON: Diploma in Project Management


Comments about The analysis phase - The Analysis Phase: defining information needs

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- Module: The analysis phase
- Topic: The Analysis Phase: defining information needs

Latest Comments

  • Md Shohel Mahmud Bangladesh System can break into smaller parts in this phase, those can break apart into more smaller parts.
    2014-11-18 03:11:25

  • Cyrus Wanjohi Kenya well understood
    2014-11-17 12:11:43

  • Cyrus Wanjohi Kenya The process of analysing a computer system starts with a broad look at the system which is then broken down into smaller parts. Each of the smaller parts can then be broken down into even smaller parts and so on. This approach enables a complete analysis to occur, without the initial task appearing to be a task so large as to be unable to be completed. The purpose of the analysis phase of the system development life cycle is to document what the current system does, and highlight the strengths and deficiencies in it. In the analysis of the system, the following should occur: identification and evaluation of sources of information identification and description of the types of information needed to analyse the system identification and description of the types of information needed to design the system information flow and needs documented using system modeling tools identification and description of problem areas in the current system, which are grouped and become the basis for the development of the new system.
    2014-11-17 12:11:48

  • Caroline Omoro Kenya in order to analyze information the system must be broken down into the smallest parts possible so as to document what the systems does ,its strengths and weaknesses and how to resolve these challenges and should include the following -identification and evaluation of sources of information -identification and description of the type of information needed to analyze the system -identification and description of the type of information needed to design the system -information flow and needs documented using systems modeling tool -
    2014-11-16 11:11:33

  • Cyrus Wanjohi Kenya The process of analysing a computer system starts with a broad look at the system which is then broken down into smaller parts. Each of the smaller parts can then be broken down into even smaller parts and so on. This approach enables a complete analysis to occur, without the initial task appearing to be a task so large as to be unable to be completed. The purpose of the analysis phase of the system development life cycle is to document what the current system does, and highlight the strengths and deficiencies in it. In the analysis of the system, the following should occur: identification and evaluation of sources of information identification and description of the types of information needed to analyse the system identification and description of the types of information needed to design the system information flow and needs documented using system modeling tools identification and description of problem areas in the current system, which are grouped and become the basis for the development of the new system
    2014-11-16 07:11:14

  • Janvier Nyandamu Rwanda what should come before? source of information or type of information needed?
    2014-11-10 11:11:01

    • Cyrus Wanjohi Kenya The process of analysing a computer system starts with a broad look at the system which is then broken down into smaller parts. Each of the smaller parts can then be broken down into even smaller parts and so on. This approach enables a complete analysis to occur, without the initial task appearing to be a task so large as to be unable to be completed. The purpose of the analysis phase of the system development life cycle is to document what the current system does, and highlight the strengths and deficiencies in it. In the analysis of the system, the following should occur: identification and evaluation of sources of information identification and description of the types of information needed to analyse the system identification and description of the types of information needed to design the system information flow and needs documented using system modeling tools identification and description of problem areas in the current system, which are grouped and become the basis for the development of the new system
      2014-11-16 07:11:56
  • Nothando Gumpo United Kingdom The process of analysing a computer system starts with a broad look at the system which is then broken down into smaller parts. Each of the smaller parts can then be broken down into even smaller parts and so on. This approach enables a complete analysis to occur, without the initial task appearing to be a task so large as to be unable to be completed. The purpose of the analysis phase of the system development life cycle is to document what the current system does, and highlight the strengths and deficiencies in it. In the analysis of the system, the following should occur: 1. identification and evaluation of sources of information 2. identification and description of the types of information needed to analyse the system 3. identification and description of the types of information needed to design the system 4. information flow and needs documented using system modelling tools 5. identification and description of problem areas in the current system, which are grouped and become the basis for the development of the new system.
    2014-11-06 13:11:59

  • Kenneth M Akahoho Ghana The process of analysing a computer system starts with a broad look at the system which is then broken down into smaller parts. Each of the smaller parts can then be broken down into even smaller parts and so on. This approach enables a complete analysis to occur, without the initial task appearing to be a task so large as to be unable to be completed. The purpose of the analysis phase of the system development life cycle is to document what the current system does, and highlight the strengths and deficiencies in it. In the analysis of the system, the following should occur: •identification and evaluation of sources of information •identification and description of the types of information needed to analyse the system •identification and description of the types of information needed to design the system •information flow and needs documented using system modeling tools •identification and description of problem areas in the current system, which are grouped and become the basis for the development of the new system.
    2014-10-26 10:10:47

  • Muhammad Asghar Pakistan The purpose of the analysis phase of the system development life cycle is to document what the current system does, and highlight the strengths and deficiencies in it. In the analysis of the system, the following should occur: identification and evaluation of sources of information identification and description of the types of information needed to analyse the system identification and description of the types of information needed to design the system information flow and needs documented using system modeling tools identification and description of problem areas in the current system, which are grouped and become the basis for the development of the new system.
    2014-10-21 20:10:44

  • Ralph Webster South Africa The process of analysing a computer system starts with a broad look at the system which is then broken down into smaller parts. Each of the smaller parts can then be broken down into even smaller parts and so on. This approach enables a complete analysis to occur, without the initial task appearing to be a task so large as to be unable to be completed. The purpose of the analysis phase of the system development life cycle is to document what the current system does, and highlight the strengths and deficiencies in it. In the analysis of the system, the following should occur: identification and evaluation of sources of information identification and description of the types of information needed to analyse the system identification and description of the types of information needed to design the system information flow and needs documented using system modeling tools identification and description of problem areas in the current system, which are grouped and become the basis for the development of the new system.
    2014-10-19 09:10:22

  • mary mwangi Egypt What are system modelling tools?
    2014-09-16 09:09:09

  • ANNETTE ROBINSON United States of America in the analysis, can a GANTT chart be used? I guess my question is for each step in the process of a project can tools be use as documentation to support the larger picture?
    2014-09-09 12:09:33

    • mary mwangi Egypt A GANTT chart would not be the best but i do think that project tools can be used in the process of a project.
      2014-09-16 09:09:34
  • Samuel Kofi Odoi Ghana What are the process of repairs if the system breaks down?
    2014-08-18 00:08:00

    • Assel Satpayeva Kazakhstan Pareto Analysis would be one of the best options. 80% of quality problems will be accounted for 20% of the possible causes of failure. Another option is Cause and effect diagrams – Ishikawa or Fishbone diagrams.
      2014-10-29 04:10:56
    • Yai Deng Yai South Sudan The analysis.
      2014-08-25 16:08:13
    • Philip Pam Nigeria The entire process of re-building a system
      2014-08-23 21:08:48
  • Alexander Njoku Nigeria What are the system modeling tools?
    2014-08-06 13:08:46

    • Yai Deng Yai South Sudan Those the tools that can be used to modify the system.
      2014-08-25 16:08:54
  • Vikram Vasant Rotkar United Kingdom What are the modelling tools?
    2014-07-21 17:07:10

  • 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 19:07:13

  • 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 19:07:13

  • 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 19:07:12

  • 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 19:07:54

  • 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 19:07:39

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