Data Entry & Processing

Data Entry & Processing

Data processing refers to the process of collecting and manipulating raw data to yield useful information. Data processing is also the conversion of raw data into machine-readable form and its subsequent processing by a computer.

There are various techniques of data processing, including manual, automatic and electronic data processing.

Data processing may involve various processes, such as:

  • Validation– Ensuring that supplied data is correct and relevant.
  • Sorting– “arranging items in some sequence and/or in different sets.”
  • Summarization– reducing detail data to its main points.
  • Aggregation– combining multiple pieces of data.
  • Analysis– the “collection, organization, analysis, interpretation and presentation of data.”.
  • Reporting– list detail or summary data or computed information.
  • Classification– separates data into various categories.

Data is the strong tool in today’s IT world. But how do we ensure the right people get the right access to the right information at the right time? Technology and Technological advances continue to revolutionize data services. Data rust quickly unless they are well maintained. Hence Conmentum offers various services like Data Import, Data Enhancement, Data Cleansing, Data Quality Analysis, Data Migration, Recovery of data etc.

Stages of the Data Processing Cycle:

  • Collection – It is the first stage of the cycle, and is very crucial, since the quality of data collected will impact heavily on the output.
  • Preparation – is the manipulation of data into a form suitable for further analysis and processing. Raw data cannot be processed and must be checked for accuracy.
  • Input – is the task where verified data is coded or converted into machine readable form so that it can be processed through a computer.
  • Processing – is when the data is subjected to various means and methods of manipulation, the point where a computer program is being executed, and it contains the program code and its current activity.
  • Output and Interpretation – is the stage where processed information is now transmitted to the user. Output is presented to users in various report formats like printed report, audio, video, or on monitor.
  • Storage – is the last stage in the data processing cycle, where data, instruction and information are held for future use.