How do I start data entry for beginners
what is data entry skills
What is Data Entry? A Beginner's Guide to Data Entry
Data entry is a systematic process of transcribing information that helps to store correct information in an organized manner. This is a useful skill that reduces costs for organizations worldwide
Data Entry – Definition and Scope
Data entry is the process of transcribing information from input into a computer program to another medium. People can transcribe data including handwritten documents, spreadsheet information, sequences of numbers, computer code, and even names and addresses.
It is used in multiple sectors like banking, IT business and others. To get into a data entry job you need to be good at your typing speed and be able to type 50-80 words per minute. Some data entry positions require a typing speed of more than 80 words per minute.
Data entry tasks can be manual and automated. Computers are used in automatic data entry for better accuracy.
Major data entry work
Data entry or processing is a very broad term, encompassing various occupations including electronic data processing, typing, word processing, data transcription, etc. While the most popular data entry task is copying information from a source and pasting it into a database, there are also several other specific tasks that a data entry professional can handle.
Data Tagging – Data tagging is a subset of essential metadata and is helpful in creating a common basis of understanding among an organization's stakeholders. Data tagging process involves adding information or description to an item, which helps in its indexing, database searching, catalog browsing, sorting and more. This is the first step towards data organization.
Check out data entry online courses to start your career today
Data Annotation - Data annotation is the process of selecting, panning or highlighting data and then labeling it. It is used to annotate all types of data like image, audio, sound, text etc. Data annotation is commonly used to analyze big data and identify patterns with the help of automation and machine learning.
Data Capture - Data capture is the process of capturing, recording and collecting data and information for use or further processing by a machine. Data capture can be done manually by a data entry clerk or automatically by software.
Some of the technologies used to capture data are-
- Optical Character Recognition
- Electronic character recognition
- Optical Mark Reading
- Barcode, QR code, smart card etc. for data collection.
Data Transcription – The process of converting an audio/video file into text for the purpose of identifying the source of the data or information is called data transcription. Simply put, it is the process of transcribing audio and voice files. Another feature of data transcription is adding subtitles or even intertitles to videos. Voice recognition or automatic captioning can also be used to assist with data transcription where a quick fix is required. However, machines are not fully capable of providing 100% accurate transcription and cannot substitute for human labor.
Data Logging – Data logging is the process of recording and collecting data over a period of time for later analysis. Data logging is used to discover trends, record information on parameters, behavior, activities, etc. It is often used as an IT solution for scientific purposes or for network and system monitoring. This process is always done by a machine instead of a human.
Data processing – Once data is collected, it can be processed for various purposes. The main reason for processing data is to analyze it and generate reports. Data processing can also be used for storage, archiving, organization, classification, etc.
Data cleansing – Data cleansing is used to organize and modify the data stored in a database. This process is effective in identifying duplicates, errors, outdated data and eliminating irrelevant data. Data cleansing is used as a means of maintaining databases and updating them.
- Data entry is the responsibility of professionals
- Inputting data (statistical or coded)
- Typing the manuscript
- Proofreading data
- Transferring data from paper format to computer files
- Dealing with customer queries
- Creating spreadsheets with large numbers of figures
- Operating office equipment including computers, printers and photocopiers
- Transfer of market-research results
- Generating report
- Answering phone calls
- Inputting customer details
Why is data entry important
Data entry opportunities in India are plentiful and working as a data entry specialist has multiple benefits. Some of the popular benefits are-
Data entry specialists are needed in multiple industries such as IT, medical and healthcare, administrative, accounting and finance, government, retail and sales.
You work as a professional who is responsible for the flow of data required by the business. You will be a key person responsible for reducing data management costs
After completing senior secondary you can also work as a part time data entry clerk
It serves as a good source of supplementary income
Compensation is attractive depending on various factors like skills, experience, job responsibilities etc.
Data entry is one of the most flexible jobs you can do as a freelancer
Data entry jobs offer multiple benefits including job form fitting location, setting your own schedule etc.
Skills required for data entry
You need to master some soft skills which are essential for every data entry job.
- Good communication skills
- Organizational capacity
- Ability to work independently
- Basic software knowledge
- Higher typing speed
- Good concentration
- Good customer service skills
- Diligent and responsible work attitude
- Self-motivated
- Able to work under pressure
- Ability to meet deadlines
- Good knowledge of grammar, spelling and punctuation
- Able to maintain data privacy
- Good attention to accuracy and detail
How to become a data entry professional?
No prior knowledge
If you are a fresher and want to start your career as data entry specialist. You need:
Learn numeric key entry skills
Gain good knowledge of database software, spreadsheets and word processing
Maintain a command over grammar and punctuation
Learn how to operate basic office equipment such as computers, scanners, copiers, printers and calculators
Improve your keyboarding and data entry skills
general knowledge
If you are a beginner and want to grow as a data entry professional. Then these tips will help you:
- Practice basic data entry skills
- Must be efficient with speed and accuracy of entry
- Practice new data entry skills to increase speed and reduce errors
- Maintain a consistent typing speed of 50-80 words per minute
intermediate knowledge
To become a professional in data entry, you need to take the next step up the ladder and learn:
Gain experience to improve your typing and office skills
Consider taking formal training to develop these skills
Develop a diligent and responsible work attitude
Maintain accuracy and demonstrate good clarity of detail
Advanced knowledge
In data entry, there may also be opportunities for a supervisor or team leader position, which involves supervising and recruiting other members of a data entry team. With good experience, data entry professionals will be offered jobs that require a high level of skill. To move up the ladder in data entry you have to -
- Develop reliable and responsible work attitude
- Your organizational skills are sharp
- Cultivate a positive attitude in a busy work environment
- Learn Business Analytics/Data Analytics
- Take a managerial level data entry course
- Develop critical thinking skills
- Learn business principles
Who can be a data entry professional
Anyone with solid knowledge of word processing, databases, spreadsheets and a good command of English can start a career in data entry. There are generally no specific guidelines regarding educational qualifications, although employers prefer candidates who have completed at least their senior or higher secondary.
List of Top Data Entry Tools You Should Know
Zoho Forms - Simplifies the data management process by letting you create forms on the web, set up email notifications based on your needs, or allow data with built-in applications.
EmailMeForm - EmailMeForm is a simple HTML form and survey creation application.
Abbyy FlexiCapture – helps to collect data, process it, validate it and finally generate and apply accurate data to critical processes.
Kaptiche - Helps reduce costs and increase efficiency by streamlining day-to-day operations and reducing errors during manual entry.
PieSync - This is a no code platform, which allows users to sync their business and customers
Data2CRM. Migration – Contributes to effortless data migration.
B2W Inform - helps you collect and record quality data and improve quality coverage, safety, human resources and more.
iQapture - An electronic data capture tool that provides live online training and coaching through documents and webinars.
Entry Point - It has a range of easy-to-use tools that help you create and install a wide range of custom data entry applications with built-in options for authentication, export and editing.
Top Data Entry Courses
To build your career as a data entry professional, you can consider taking an online data entry course. There are many free data entry tutorials and courses available from leading course platforms that can help you learn how to do data entry.
Some of the top data entry courses are:
Learn data entry and launch a successful home based business on Udemy
Data entry course for beginners on Udemy
Learn and work on data entry from home on Udemy
Xero Online Accounting - Practical Data Entry Course on Udemy
You can also consider taking a related data visualization or MS Excel course, such as –
- Excel for everyone: The core of edX
- Excel Skills for Business: Coursera Essentials
- Data Visualization: A Practical Approach for Beginners by Microsoft at edX
- Data visualization with Coursera's tabular specialization
- Data Science: Visualization in Harvard University EDX (Using R)
- Introduction to Data Visualization in Python DataCamp
Conclusion
The future of data entry is largely based on artificial intelligence and machine learning. These technologies will help the data entry industry get instant detailed information for quick decision making. Large companies manage huge amounts of data, so this data centralization allows not only the optimization and streamlining of processes, but also to understand in detail the tastes and needs of their customers. Such data entry tasks will largely be facilitated by AI and ML
To grow in this field, it becomes imperative for data entry professionals to keep up with the trending technologies. Online data entry courses or related artificial intelligence courses can be a good way to achieve success. These courses will definitely contribute to the overall professional growth of the professionals in the long run.
