The Data Entry service is one of the most popular services and is outsourced by companies all over the world. Every company needs to perform data entry activities that are necessary, if not indispensable, for daily operations.
The issue is that these tasks take up a lot of time. As a result, companies employ a lot of staff to handle them. If the team is internal, the cost of the project will be higher. Therefore, companies outsource data entry activities to external partners specialised in handling such work.
Data entry outsourcing also helps companies manage ad hoc projects and seasonal volumes of work, without needing to expand their workforce or hire seasonal staff.
Data entry projects, on the other hand, are different for the needs of each company and can range from data processing to data classification, from data transcription to data digitisation, and so on.
We have broken down the data entry service by types to help you understand which kinds of data entry processes you can outsource.
Online Vs. Offline Data Entry
The two main categories of data entry services are online and offline data entry. The difference is the need for an internet connection to process the data.
Offline data entry
When an internet connection is not necessary for the activity, data entry is not online. BPOs usually send the processed files to the client at a later time, or simply transfer them into a folder, archive or database. Some offline data entry activities include filling in offline forms. Other activities include transforming data from a paper format into a digital format.
Online data entry
It constitutes a process of entering information with the use of an internet connection. Online data entry is usually even more voluminous than offline data entry. Data entry teams have to process, enter, modify or update an online database.
Some of the main uses of online data entry are entering product information on e-commerce sites, filling in online forms, annotating and tagging data online, labelling images, updating CRMs, and so on.
Most of the time, the skills needed for data entry work are elementary. A data entry operator only needs to have a basic knowledge of the computer and of file software. There is no need for fast typing skills, unless there are tight deadlines or huge volumes. However, although it is an easy task, data entry can be very time-consuming.
Some companies need to work on a large amount of data and information, which can entail a huge cost: outsourcing data entry is the solution.
Main types of data entry
We can categorise the different types of data entry service based on the nature of the activities required.
The level of difficulty also depends on the type of work. As a result, sometimes a more specialised approach is needed. Data entry in itself is a very broad term that is used to describe not only the entry of information from one format/file to another, but also the processing and analysis of data.
The source of the data that has to be processed or entered can be in various formats, paper or digital copies. Some companies have to copy information from handwritten notes, while other companies have to convert voice and audio files into transcribed texts. Companies that handle a lot of formats need to process a lot of data. They also have to store the information in a digital database for later use or reference.
The countless data entry activities can be grouped into four main categories according to 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 saving information correctly by removing inaccurate and duplicate information. Another term for data cleansing is data scrubbing.
Activities: CRM updating, database follow-up, information research, removal of duplicates, modification of information, correction of information, searching for and removing errors, etc.
Data Processing
Data processing means collecting and modifying information in order to analyse it or use it at a later time. Data processing can be useful for storing information, analysing data, filtering data, reporting, and so on. The main objective of data processing is to modify the data in such a way that it is useful for a given purpose.
Activities: data extraction, data capture, entry of attestations, recording of accounting data and data, database creation, editing of photos or products, etc.
Data Classification
It consists of a process of organising data into categories based on the properties and characteristics of the items. Data classification helps to save information by sorting it so that it can be easily accessed and filtered. Indeed the data classification service is also useful for artificial intelligence and machine learning software.
Activities: data classification, sorting data into categories, data tagging, data annotation, data indexing, classification of work tickets, entry of product data, etc.
Data Conversion
Data conversion, as the name suggests, is the process of converting data from one format to another. Data can be converted from a paper copy into a digital format or from one digital format to another (from jpg to pdf, from PDF to XML, etc.). This data entry service that converts data can be manual or assisted by equipment.
Activities: audio transcription, photo editing, data typing, copying information from handwritten notes, capturing data from photographic formats, etc.
Outsourcing the Data Entry service: the advantages with WeAreFiber
Outsourcing data entry to a trusted partner can:
- significantly reduce operating costs,
- improve the efficiency of your team,
- allow the use of technological innovations without having to invest and mitigate risks.
WeAreFiber is helping various clients operating in E-commerce, food & beverage, travel, entertainment, insurance and healthcare to efficiently manage data entry activities. We provide only highly personalised solutions to meet your individual needs.
Read WeAreFiber’s in-depth study on the problems of Food Delivery in times of pandemic. The research was published on politicamentecorretto
Are you interested in the Data Entry service? Do you want more information? Contact us.
Why choose us?
Data protection: WeAreFiber is GDPR compliant and holds the ISO 9001, ISO 14001, ISO 27001 and ISO 27002 certifications.
Quality standards: our internal ones are split over two levels; a Quality Assurance team monitors and checks data entry projects to guarantee an error rate of 0.
Scalability: our clients are able to scale team sizes up and down based on project volumes at short notice.
Control: through our advanced quality monitoring software, our clients always have control of the campaign and receive information in real time.
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