Data Entry Service: All types of data entry

The data entry service is one of the most popular services that is outsourced by companies worldwide. Every company needs to perform some data entry tasks that are necessary, if not essential, to the daily operations. The challenge is that these tasks take a lot of time. As a result, companies allocate large teams to handle them. If the teams are in-house, the cost of the project will be higher. Therefore, companies are outsourcing data entry to external partners that are specialized in handling such work.


Outsourcing data entry services also helps companies manage ad-hoc projects and seasonal volumes of work without needing to expand their teams or hire seasonal staff. The data entry projects are unique to every company’s needs and can vary from data processing to data tagging, from data transcription to data digitisation, etc.


We have broken down the main data entry services by type to help you understand what types of data entry processes can you outsource.


Online Vs. Offline Data Entry


The two main categories of data entry service are online and offline data entry. The difference is the need for an internet connection for processing the data.


When you don't need an internet connection for the task, then the data entry is offline. BPOs will usually send processed files later to the client or simply transfer them to a folder, archive or database. Some offline data entry tasks include filling offline forms. Other tasks include digitising data from a paper format to a digital format.


Online data entry is the process of inserting information with the use of an internet connection. Online data entry is usually even more voluminous than offline data entry. Data entry teams need to process, enter, edit or update an online database. Some of the main usages of online data entry are about inserting product information on e-commerce websites, filling online forms, annotating and tagging data online, tagging images, updating CRMs, etc.


Most of the time, the skills needed for data entry work are basic. A data entry clerk only needs to have a basic knowledge of the computer and of the file software. There is no need for fast typing skills unless there are tight deadlines or huge volumes. However, despite being an easy task, data entry can be very time-consuming.


Some companies need to work on a big amount of data and information, which can be a huge cost. Outsource data entry is the solution.


Main Data Entry Service Types


We can categorize the different types of data entry service according to the nature of the tasks required. The level of difficulty is also dependent on the type of work. As a result, sometimes a more specialized approach is needed. Data entry in itself is a very broad term that is used to describe not only inserting information from one format/file to another but also the processing and analysing of data


The source of the data that needs processing or entering can be in various formats, hard copies or digital. Some companies need to copy down information from hand-written notes, while other companies need to convert voice and audio files to text by transcribing them. Companies that handle a lot of forms need to process a lot of data. They also need to store the information to a digital database for later use or reference.


The innumerous data entry tasks can be grouped into four major categories based on their nature: Data cleansing, Data Classification, Data Processing, and Data Conversion.


Data Cleansing


Data Cleansing involves organising information stored in databases so that it is accurate and up to date. Data cleansing helps with storing information in a correct way by removing inaccurate and duplicated information.  Another term for data cleansing is data scrubbing. 


Tasks: CRM update, database follow up, researching information, removing duplicates, modifying information, correcting information, finding and removing errors, etc.


Data Processing


Data Processing means to collect and modify information in order to analyse it or use it later. Data Processing can be useful for storing information, analysing data, filtering data, reporting, etc. The main focus of data processing is to edit the data in a way that it serves a certain purpose. 


Tasks: data extraction, data capturing, entering claims, accounting and figures data entry, database creating, photo or product editing, etc.  


Data Classification


Data classification is the process of organising the data into categories based on the properties and characteristics of the items. Data classification helps to store the information by sorting it so that it can be easily accessed and filtered. Data classification is also useful for AI and Machine learning software.


Tasks: classifying data, sorting data into categories, data tagging, data annotation, data indexing, classifying business cards, product data entry, etc.


Data Conversion


Data conversion, as the name suggests, is the process of converting data from one format to another. The data can be converted from a hard copy to a digital format or from a digital format to another (from .jpg to .pdf, from .pdf to .xml, etc.) Data conversion can be manual or machine assisted.


Tasks: audio transcription, photo editing, data typing, copying information from hand-written notes, capturing data from photo formats, etc.


The benefits of Outsourcing Data Entry to We Are Fiber


Outsourcing data entry to a trusted partner can reduce operational costs significantly, improve the efficiency of your team, enable the use of technology advancements without needing to invest and mitigate risks.


WeAreFiber is helping several clients operating in the E-commerce, Food and Beverage, Travel, Entertainment, Insurance and Healthcare to handle their data entry tasks efficiently.  We provide only highly tailored solutions to suit your individual needs.


More informations about data entry service? Contact us.


Why choose us?


Data Protection: WeAreFiber is GDPR compliant and ISO 9001, ISO 14001, ISO 27001 and ISO 27002 certified.


Quality Standards: Our internal, two-level, Quality Assurance Team monitors and controls the data entry projects to ensure a 0 error rate.


Scalability: Our clients are able to increase and reduce the size of the teams based on the project volumes at short notice.


Control: Through our advanced Quality monitoring software, our clients are always in control of the campaign and receive information in real-time.
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