'Billing system Essay\r'

'The Information Flow Model (IFM) is utilise to understand the extensions and destination of development flow, which is required to execute the business process as shown in Figure 3.5.\r\nIn IFM, info or data generators and processors be brought together to explain the flow. This could be documents, e-mail, or voicemail. The table of contents of the flow could be text, images, or diagrams. The intent of the flow is to take the process come on to its logical conclusion. For example, a customer stray is to be processed for delivery or to be rejected, and necessary data or instruction input has to be provided progressively in the process.\r\nIFM is gener wholey a upper-level poser showing main flows, inside flows of study from sources, such as intersection point catalogs, and manufacturing schedules. Customer profiles and accounting info are not shown. These are presumed to be present.\r\nIn an information flow model, to each one treat breaker point is described as unmatchable of the following typify classes:\r\n1. entropy everyow  where data suppliers forward information into the system.\r\n2. selective information Acquisition  the stage that accepts data from immaterial suppliers and injects it into the system.\r\n3. entropy Creation  internal to the system, data whitethorn be generated and then forwarded to some other affect stage.\r\n4. Data Processing  each stage that accepts input and generates output (as intimately as generating side effects).\r\n5. Data case  any point at which information is collated, aggregated and summarized for reporting purposes.\r\n6. determination devising  the point where human interaction is required.\r\n7. Decision Implementation  the stage where the decision do at a decision-making stage is executed, which may affect other bear on stages or a data delivery stage.\r\n8. Data Delivery  the point where packaged information is delivered to a known data consumer.\r\n9. Data Consum ption  as the data consumer is the final user of processed information, the consumption stage is the exit stage of the system.\r\nData moves in the midst of stages by directed information bring  pipelines indicating the flow of information from one processing stage to another and the direction in which data flows. An information flow model is represented by the combination of the processing stages connected by directed information channels. Once the flow model has been constructed, call are assigned to each of the stages and channels. An information flow model can be used to identify the source of a data quality conundrum. The effects of a data quality problem efficacy manifest themselves at disparate stages within an information flow, perhaps at different data consumption stages.\r\nHowever, what may go forth to be multiple problems may all be related to a undivided point of failure that takes place originally in the processing. By identifying a square off of data- quality expectations and creating validation rules that can be obligate at the entry and exit of each processing stage, we can trace through the information flow model to the stage at which the data quality problem occurred. Fixing the problem at the source will have a proficient effect across the board, as all subsequent manifestations should be eliminated!\r\n'