Data processing is the procedure of capturing, extracting, digitising & processing data from various sources and turning them into valuable insights. Data, when presented in a suitable format, improve analysis. In the global business scenario, data processing has become a need of the hour for every organization as it improves strategic decision making. Having an in-house team for data processing will demand you to spend on staff, their training, salaries, bonuses, equipment, technology, infrastructure and many more hidden costs. So what’s the other alternative? Well, outsourcing can be your best option.
For 12 years, eDataMine has been helping a global client base by providing cost-effective data processing services. We help you extract relevant, up-to-date, and reliable information to achieve better organizational performance. Our experts apply a variety of methods and tools to transform the data into meaningful information. When you outsource with us, you invite enhanced productivity and operational efficiency to your business. Types of data processing can be explained based on the adopted technology. Usually, there are three types of data processing; manual, mechanical & electronic. Take a look.
· Manual Data Processing — The whole procedure of data collection, filtering, sorting, estimation and alternative relevant works are carried out with human intervention without using any electronic device or automation software.
· Mechanical Data Processing — Data is processed utilising machines and simple tools such as typewriters, calculators & printing presses. Simple data processing operations can be accomplished easily with this. The only shortcoming here is that it cannot be used with huge data volumes.
· Electronic Data Processing — Data processing software and programs are utilised to process the data. Following a series of instructions, software processes the data and produce the desired outcome. The method is costly but provides quick processing with the highest security and precision.
Data Processing Comprises of Six Steps & They are:
· Data Collection: Data is collected from various kinds of sources. It is ensured that the collected data is reliable and of high quality.
· Data Preparation: The accumulated data gets refined by checking & eliminating errors. Then it is sent for the following stage. The purpose of data preparation is to get rid of redundancies and errors to generate quality data that can function as business intelligence.
· Data Input: The data gets transcribed into machine language using a CRM such as Salesforce and Redshift, a data warehouse.
· Data Processing: The processing is done for interpretation & it is performed through machine learning algorithms. Their process is changeable depending on the data which is processed (connected devices, social networks, data lakes) and the proposed use (medical diagnosis, to determine client needs, analysing advertising patterns)
· Data Interpretation: The data gets converted into videos, graphs, images or a word file. This data simplification helps the employees to analyse the data and implement it into various business projects.
· Storage: Effective & correct storage of data is necessary for agreement with GDPR (data protection legislation). Properly saved data to be obtained easily and instantly by employees as and when needed.
eDataMine specialises at various kinds of data processing services comprising forms processing services, image processing services, word processing services, resume processing services, data cleansing services & data mining services. The quick TAT, timeliness, superior skills, 24/7 access, and assured security allow businesses to rely on us for their data entry, data processing and data conversion requirements. For a free trial-we can be reached at info@edatamine.com or visit our website- https://www.edatamine.com/
