Significance of data and data processing cycle
“Data” is the next big thing which is set to cause revolution as the growth depends on the availability and processing of data. All virtual world is a form of data which is constantly being processed forms a cycle called data processing cycle and delivered to user to provide information. This continuous use and processing of data follows a cycle which might provide instantiations results or take time depending upon the need of processing data. The complexity in the field of data processing is increasing which is creating a need for advanced techniques. Big Data is another big push in this field as all the companies are coming under one roof for data mining, data management and processing it and make their services better!
Data processing in brief
Data processing needs to be understood before moving to the data processing cycle as it forms the core of this cycle. In our previous post it was explained that “Data processing is simply the conversion of raw data to meaningful information through a process. Data is manipulated to produce results that lead to a resolution of a problem or improvement of an existing situation. Similar to a production process, it follows a cycle where inputs (raw data) are fed to a process (computer systems, software, etc.) to produce output (information and insights).”
What is Data Processing Cycle?
Data processing cycle as the term suggests is a cycle for processing data i.e. processing raw data to usable form. The processing of data can be done by number of data processing methods.
3 MAIN STAGES OF DATA PROCESSING CYCLE
- Input – The raw data after collection needs to be fed in the cycle for processing. This is considered the first step and called input.
- Processing – Once the input is provided the raw data is processed by a suitable or selected processing method. This is the most important step as it provides the processed data in form of output which will be used further.
- Output -This is the final outcome and the raw data provided in the first stage is now “processed” and the data is useful and provides information and no longer called data.
Various stages of the Data Processing Cycle
As mentioned earlier Data Processing Cycle have 3 broad stages which have sub stages or steps involved. These are the steps/ process required in between these 3 broad stages. These deal with collection of data, choosing the processing methods, practising data management best practices, making use of processed data for the desired purpose. The steps include:
- Data Collection: This is the first step which will provide the data for the input. Collecting data is a hard work in its own but is most essential on which the results depend. The quality of input will determine the quality of output. This data collection can be done in various ways by primary or secondary sources.This data may include census data, GDP or other monetary figures, data about number of industries, profit of a company etc. Depending upon the data requirement its source must be identified from which data will be collected.
- Preparation/ Sieving: Some people consider this as a part of processing but does not involve any processing. Preparation include sorting and filtering of data which will finally be used as input. This stage required you to remove the extra or unusable data to make processing faster and better. This is a broad step in reducing the quantity of data to yield better result.
- Input: This is feeding of raw and sieved data for purpose of processing. If input is not done properly or done wrong then the result will be adversely effected as software follow the rule of “Garbage in – garbage out”. Utmost care should be taken to provide right data.
- Processing: This is the step where data is processed by mechanical or automated means. The processed data is one which gives information to the user and can be put to use. The raw data cannot be understood and thus needs processing which is done in this step. Processing of data may take time depending on the complexity of the data and the volume of data which is provided as input. The step of preparation mentioned above helps in making this process faster.
- Output/ Result – This is the last step of data processing cycle as the processed data is delivered in form of information/results in this step. Once the result or output is received it may further be processed or interpreted by the user or software for further value addition. This output can also be used directly in presentations or the records. This output may even be saved as be used as a input for further data processing which then becomes a part of cycle which is being discussed.If this data is not used as input then this complete process cannot be considered as cycle and will remain to be a one time activity of data processing. For using this data as input it must be stored or simultaneously be available for further processing.
All these steps or stages have a particular sequence which must be followed if processing is done manually as the automatic processing have inbuilt algorithms with pre-defined steps. In automatic processing the chances of error are drastically reduced but this happens only when the input is a correct data or data set.
Most of the programs being used today which process data completely or partially processes it have a back-end with pre-defined algorithm and sets of operation. If a single software performs all the required steps than it is considered to have a complete data processing cycle in its back-end whereas few steps of complete cycle might exist. In case of partial data processing, a combination of different set of hardware and software need to be used so as to complete the cycle. It becomes the responsibility of the person operating this set to feed and receive the output in a particular sequence.
Limitations of data processing cycle
Data processing cycle in most of the cases is a complete cycle in itself but as mentioned above a set of hardware and software might also be employed in some cases with special needs. In such cases a number of things needs to be taken care of to get the sensible and useful output. This depends on the correct sequence, operating skills, understanding of the steps forming the cycle, partial output from one part which will be used as a input for next part. If a person/operator/machine or software fails to perform the steps in sequence than the output will not be useful at all.