![]() ![]() Getting a basic grasp on some of the features of Word is a great way to add one more bullet point of experience to your resume. If you’re not well-versed with Google-based products, sign up for a professional account, and start exploring! Microsoft WordĪt some point in your data entry career, you’ll more than likely be asked to type something into a Word Document. Google Docsįrom Google Drive and Docs to Slides and Sheets, many companies are linked to some aspect of Google. Thankfully, if you don’t have a ton of experience here, you can practice data entry on your own using Google Sheets or Microsoft Excel, two of the most common programs used by companies, to gain a bit of experience and confidence beforehand. Knowing how to organize data into spreadsheets is a standard skill set needed in data entry. If you’re uncertain how fast you type, you can test your typing speed for free online with one of these sites: ![]() In general, the faster you can type, the more money you’ll earn typing from home.Īccording to Aptitude Test, most data entry positions require you to type at least 45 words per minute (WPM). Your ability to type with accuracy and speed can determine how much money you make. While the specifics surrounding the type of computer skills you’ll need will vary depending on the position, below are some of the basics you should be aware of as you investigate and apply to data entry jobs. Here is a quick overview of the basic skills you’ll likely need to apply for these jobs. Basic Computer Skills Needed for Data Entry Positions In addition, you’ll need to have the following soft skills and working knowledge of the programs below. While there is no degree required to start a data entry job, in general, you’ll need a high school diploma or GED. Learn more about the differences between unstructured data, semi-structured data, and structured data.What Skills Are Required For At-Home Data Entry Jobs? The output data is called structured data and is in the format of CSV, XML, and JSON. Export extracted data: The data can then be downloaded or sent to any application such as Google Sheets, ERP, or CRM tools.An automated data entry tool can easily detect whether data has been altered or if there are duplications. Data validation: This is an optional step for organizations to check the data accuracy and validate the data before it is exported to other applications.The data extraction tool can be trained to extract specific information from these documents. Data extraction or data parsing: Depending on the type of document received, it is processed through different data extraction methods such as OCR (optical character recognition), text extraction, or automatic image annotation.The data is then classified or categorized accordingly.ĪI automated solutions will replace manual data entry processes and eliminate errors.” - Deep Cognition, April 2022 Several tools such as AI (Artificial Intelligence) or NLP (Natural Language Processing) are used to read those documents. Preprocessing: During this step, the document is converted into a machine-readable format.The first step is to import those documents into the data entry automation software. Uploading the documents: Documents (PDFs, images, scanned files) are received as raw data (unstructured data) and in different formats. ![]()
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