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Analysis Tools

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Analysis tools There are a range of tools and techniques that can be used during the analysis stage of the system life cycle. The process of analysis only begins when the feasibility report has been developed and has been approved by the personnel within the organization. Analysis involves analysing the current system, and afterwards stating a number of solutions for the new system. Analytical Tools The following section describes the list of tools used within the analysis stage, along with an explanation of why it should or should not be used within the Perfect Pie scenario. Feasibility Study A feasibility study will allow the analyst to establish whether or not a proposal for the current system is worthwhile or feasible, this also allows the analyst reviewing the system, to highlight properties within computerization. Although a feasibility study will not instantly solve the problem, but it will allow a user to establish whether or not a proposed improved will be acceptable to the design of the new system. A feasibility report should consist of the following sections terms of reference, applications consider for three computerizations, system investigations, envisaged system requirements and lastly costs of implementation. A feasibility report should also include a brief description of the business and any problems with the existing system, details of the sections within the business that are going to be looked at, objectives of the proposed system, alternate solutions considered and why they were rejected, social/economic/technical factors, for example do staff need training and is the required technology available? If all these suggestions are taken into consideration, the feasibility should end with a decision on whether or not to proceed with the proposed design of the new system. ...read more.


For example other decision tables can use true or false, number alternatives, fuzzy logic or probabilistic representations. Although action entries can represent whether an action is to be performed, or in more advanced decision tables, the sequencing of actions to perform. A Decision table can be used if a combination of conditions is given. In decision table conditions are known as causes and seminal numbers of conditions are known as business rule. The following is a list of advantages associated with decision tables: 1. Decision tables are very easy to understand, for example, they can map nicely together to create a set of business rules. 2. Decision tables can be applied to real problems, for example analysis of the current system used within an organization. 3. Through use of a decision table, no prior assumptions can be made about/from the data, leaving other methods available or open for discussion. 4. Decision tables allow users to input and process both numerical and categorical data. The following is a list of disadvantages associated with decision tables: 1. In order for a decision table to be of any value as an analysis tool, all outputs within the decision table must be categorical. 2. Not only must the output be categorical but there can only be one limited output. 3. Creating a decision table from numeric datasets can be a complex operation. Perfect Pie and Decision Tables The Decision Table as an analysis tool within the Perfect Pie Scenario would not be suitable, since it would be non-beneficial. Although Decision Tables are very easy to understand, if one output in the decision was not categorical, it would be of value to the analysis of the current system, making the current process a waste of time. ...read more.


Problem definitions will always include a 'terms of reference' so the analyst can easily refer back to it for clarification. All problem definitions must include what the proposed system must achieve, different objectives should be taken on board, for example, the reduction of running costs, improved customer service (customer satisfaction at 100%) and lastly better mgt information, this will drastically improve decision making processes. The proposed system will come with restraints also, for example, the money available for the design of the new system (budget), and areas that mightn't need any improvements. All reports about the problem definition need to be documented, and clearly listed, for example, reports need by the administration staff, with any other outputs required. All problems with current system must be listed. The following states the advantages of Problem Definitions: 1. Both user and analyst are thinking of a solution for problems within the proposed system. 2. All problem definitions include 'terms of reference' which can be easily looked back on. The following states the disadvantages of Problem Definitions: 1. The process is very time consuming and the organizations budget could be decreased because of this i.e. financial risk. Perfect Pie and Problem Definition Problem Definition can be used as an analysis tool within the Perfect Pie Company. Although there are financial risks involved with the process, which may prove risky for the Perfect Pie Company, it is still a good analysis tool because both user and analyst can sit down together and draw up solutions for problems within the current/proposed system. Conclusion From looking at the various Analysis tools on offer, the most appropriate methods for the new system for Perfect Pie are Problem Definition, ERD, Data Flow Diagrams and Flowcharts. ?? ?? ?? ?? 1 ...read more.

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