DP Full Form

DP stands  for Data Processing. Read on to know about how Data Processing is the sustainable way of working technologically and how the organizations are benefited and dependent on the same. Data processing (DP) refers to the accumulation, analysis and manipulation of data to receive valuable information. DP is used as a means in the corporate world to obtain insights for the larger benefit of organizations. Data in its raw form is not beneficial to any organization. Data processing is the method of collecting raw data and translating the same into useful information.

What is  DP Full Form ?

The DP full form stands for Data Processing. Data Processing (DP) is the collection and translation of data by technological devices, like a computer, software etc. A computer or software fixes the raw data and converts it into a meaningful output. Computer software is used to collect, analyze and process the data to produce reliable and useful information. Data Processing is usually done in a step-by-step process by a team of data scientists and data engineers in an organization as they gain an expertise in the field. The raw data is collected, filtered, sorted, processed, analyzed, stored, and then presented in a usable format.

What Are the Methods of Data Processing?

Data processing starts with collection of various data. The collected data must be processed by processing data in a various step-by-step manner such that the data collected must be stored, sorted, processed, analyzed and presented in the format. There lies the three methods for Data Processing which are as below:

• Manual Data Processing: Manual Data is processed solely by human beings.
• Mechanical Data Processing: The Data processed with the help of mechanical devices, such as calculators, computers etc are called Manual Data Processing.
• Electronic Data Processing: The Data processing through software and computer programs is called Electronic Data Processing.

However, each of the methods has its own benefits and drawbacks on the basis of time, cost and accuracy factor.

Stages of Data Processing

The data processing stage consists of a series of multiple steps where raw data (input) is fed into a system to produce valuable insights (output). Each step has a specific order of performance, but the entire process is repeated in a repeated manner.

The various steps included in  Data Processing are:

• Data collection: The raw data to be processed is collected from credible sources and in different formats which might be structured or unstructured. The collected data is called raw data because it has not been processed to gain the output. It is important to collect the data from trustworthy sources for data to be of high-quality.
• Preparation of Data: The collected raw data is prepared, cleansed and sorted in the due process for processing and eliminating the unnecessary data. In this step, the collected data is checked for errors and the useless information is eliminated for further analysis. Preparation of Data is done to ensure high-quality data is fed into the system.
• Data input: In this process,the prepared data is entered into the system or software to make it machine readable. The Data input is done through the help of devices such as keyboard, scanner etc. The raw data is transferred into the form of usable information through the process of Data input.
• Processing of Data: In the data processing step, the data is processed with the help of machine learning (ML) or Artificial Intelligence (AI) algorithms to obtain the  generous output. The processing of data depends on the different  types and sources of data.
• Data output: The data is produced in the form of tables, graphs, images, text, etc. for easy and accurate interpretation as an output. The output can further be stored and processed further in the next pattern. The company or an organization can use the output of the data for further analysis.
• Data storage: Data storage is the ultimate and the last step where the data obtained is stored for future use. It can be readable, translated by way of images, graphs, videos etc. The Data storage permits the instant access and information retrieval when required and can be used in the next data processing method.

Different Types of Data Processing

There are different types of data processing depending on the source of data gathering  and the different steps taken by the processing unit to provide an output. The various type of Data Processing and its basic uses are: