At this point, some cycles require the data undergo preparation for the next stage. If results are not satisfactory then we repeat above-mentioned steps again and again until the accurate results are found. Now-a-days, the data is processed and analyzed through computers. The data processing is divided into three categories or levels. Some of these steps like design and testing may be combined, depending on the overall complexity of the project. The second part consists of four activities that do not need any sequence in order to be carried out correctly. Activity Sub-Activity Description Describe Project Describing the project is done in terms of participants, targets, products, scope and assumptions.
But as mentioned above a set of hardware and software might also be employed in some cases with special needs. The data-processing cycle involves many different interdependant activities. Ensure that all mandated user requirements are addressed. Much of data management is essentially about extracting useful information from data. Later on these concurrent activities can join again by using the same synchronization bar.
The output and storage stage can lead to the repeat of the data collection stage, resulting in another cycle of data processing. Each of these phases contribute towards. Data Processing Definition A working definition of data processing usually includes all operations performed on data — disclosure, management, use and collection of data are four examples of business data processing within a company. An example of this would be an Argos catalogue slip - the data is collected in such a way that when the slip is put into the computer it can read and understand the information. Coding Even after the editing process, the available data is not in any specific order. Data entry is done through the use of a keyboard, digitizer, scanner, or data entry from an existing source.
Information is a processed, organized or classified data which is useful for the receiver. Companies and organizations across the world make use of data processing services in order to facilitate their market research interests. Although each step must be taken in order, the order is cyclic. Information containing wisdom is known as knowledge. The useful insights or the information are presented into the forms of diagrams, chart, graph, etc. Flesh out databases with individual elements.
Oxford Paperback Reference 4th ed. Regardless, the sole purpose of the processing stage is to convert the raw input data into a form that can be stored for later use or provide information output for further processing or interpretation. Collection of data is a challenging task but it is an area in which we should give more focus, after all, it is the most essential on which the result depends on. Output The input stage is simply the point at which data is input whilethe processing stage refines the data in order to reach a desiredoutput. The processing subjects the data to various means of manipulation.
Due to the costs, many businesses are resorting to outsource this stage. A requirements analysis starts with studying the material. So that it can be accessed quickly. This data could be census details or sales figures, for example. The cycle provides a view on how the data travels and transforms from collection to interpretation, and ultimately, used in effective business decisions. If it takes one week for this amount of forms to be processed by all of the activities before data capture, then data capture would not commence until the third week. While data processing can to a large extent be regarded as a linear cycle, all activities will usually be concurrent.
Based on data processing instructions provided by human users and programmers, computers now handle an expanding part of the data processing operation. This is the most important step as it provides the processed data in the form of output which will be used further. Useful and informative output is presented in various appropriate forms such as diagrams, reports, graphics, etc. United States Bureau of the Census. Stages of the Data Processing Cycle As discussed earlier data processing have three broad stages which have substages or steps involved.
Or Plants and animals die. The term 'data processing cycle' refers to the order in which data is processed. Depending upon the data requirement its source must be identified from which data will be collected. It is the process of obtaining the desired results from the available data being gathered. It is the invisible backbone that supports all the operations and activities within a business.
In Figure 4 an example is illustrated, which clarifies the necessity to be able to model unordered activities. United States Department of Commerce. Analyzing data that has not been carefully screened for problems can produce highly misleading results that are heavily dependent on the quality of data prepared. It is a multidimensional process which is involved in almost every field. Two activities, defining the actors and defining the use cases, are carried out concurrently.