{"id":8374,"date":"2022-08-22T15:23:51","date_gmt":"2022-08-22T22:23:51","guid":{"rendered":"https:\/\/emailparser2.wpengine.com\/?p=8374"},"modified":"2022-11-15T05:24:00","modified_gmt":"2022-11-15T13:24:00","slug":"manual-data-entry-challenges-and-solutions-in-2022","status":"publish","type":"post","link":"https:\/\/emailparser2.wpengine.com\/manual-data-entry-challenges-and-solutions-in-2022\/","title":{"rendered":"Manual Data Entry: Challenges and Solutions in 2022"},"content":{"rendered":"<p><iframe loading=\"lazy\" width=\"100%\" height=\"20\" scrolling=\"no\" frameborder=\"no\" allow=\"autoplay\" src=\"https:\/\/w.soundcloud.com\/player\/?url=https%3A\/\/api.soundcloud.com\/tracks\/1329340639&#038;color=%23ff5500&#038;inverse=false&#038;auto_play=false&#038;show_user=true\"><\/iframe><\/p>\n<div style=\"font-size: 10px; color: #cccccc;line-break: anywhere;word-break: normal;overflow: hidden;white-space: nowrap;text-overflow: ellipsis; font-family: Interstate,Lucida Grande,Lucida Sans Unicode,Lucida Sans,Garuda,Verdana,Tahoma,sans-serif;font-weight: 100;\"><a href=\"https:\/\/soundcloud.com\/cloudhq_net\" title=\"cloudHQ\" target=\"_blank\" style=\"color: #cccccc; text-decoration: none;\" rel=\"noopener\">cloudHQ<\/a> \u00b7 <a href=\"https:\/\/soundcloud.com\/cloudhq_net\/manual-data-entry-challenges-and-solutions-in-2022\" title=\"Manual Data Entry: Challenges and Solutions in 2022\" target=\"_blank\" style=\"color: #cccccc; text-decoration: none;\" rel=\"noopener\">Manual Data Entry: Challenges and Solutions in 2022<\/a><\/div>\n<p dir=\"ltr\" style=\"font-style: normal; line-height: 150%;\">Did you know an estimated <a href=\"https:\/\/www.networkworld.com\/article\/3325397\/idc-expect-175-zettabytes-of-data-worldwide-by-2025.html\"><u>175 zettabytes of data<\/u><\/a> is projected to exist by 2025? Roughly <a href=\"https:\/\/seedscientific.com\/how-much-data-is-created-every-day\/\"><u>2.5 quintillion bytes<\/u><\/a> are created every day, and for businesses, storing, protecting, and analyzing this data gets incredibly time-consuming and tedious.<\/p>\n<p dir=\"ltr\" style=\"font-style: normal; line-height: 150%;\">Managing and analyzing data is a full-time job for businesses of all sizes. There are <a href=\"https:\/\/www.whizlabs.com\/blog\/data-scientist-jobs\/\"><u>2.5 million data scientist jobs<\/u><\/a> in the U.S., and it\u2019s projected to be one of the fastest-growing and highest-paying career fields over the next decade.<\/p>\n<h2>What Is Manual Data Entry?<\/h2>\n<p dir=\"ltr\" style=\"font-style: normal; line-height: 150%;\">However, when technologies like artificial intelligence or data mining aren\u2019t available, we return to manual data entry. Manual data entry is often mind-numbing, and it can take hours to perform simple tasks. Nevertheless, manual data entry is the traditional method of data collection when a person enters information into a computer. This information could be video files, photos, text, or anything else.<\/p>\n<p dir=\"ltr\" style=\"font-style: normal; line-height: 150%;\">An overwhelming majority of companies still use manual data entry, but <a href=\"https:\/\/chrome.google.com\/webstore\/detail\/export-emails-to-google-s\/ibpbagbedfnlepijbnjeanihpoohkocm?utm_campaign=email_parser2-evergreen&#038;utm_source=blog&#038;utm_medium=link\" rel=\"noopener\" target=\"_blank\"><u>some tools<\/u><\/a> and processes can automate portions of these tasks. There are three main types of manual data entry: paper-based forms, keyboard entry, and scanning.<\/p>\n<h2>Manual Data Entry Challenges<\/h2>\n<h3>Manual Data Entry Is Prone to Human Error<\/h3>\n<p dir=\"ltr\" style=\"font-style: normal; line-height: 150%;\">Arguably the biggest challenge facing manual data entry is that it\u2019s performed by a human, and humans make mistakes. After hours of staring at a computer screen, typing in number after number, it\u2019s extremely common for someone to make a mistake. In fact, <a href=\"https:\/\/www.accountingweb.com\/aa\/auditing\/human-errors-the-top-corporate-tax-and-accounting-mistakes\"><u>30% of accounting professionals<\/u><\/a> admitted that data was inputted incorrectly at their firm.<\/p>\n<h3>Manual Data Entry Errors Cost Money<\/h3>\n<p dir=\"ltr\" style=\"font-style: normal; line-height: 150%;\">An acceptable manual data entry error rate is 1%, but when that increases, it can cause businesses a significant amount of money. <a href=\"https:\/\/www.gartner.com\/smarterwithgartner\/how-to-create-a-business-case-for-data-quality-improvement\"><u>Gartner<\/u><\/a> estimates that companies lose an average of $15 million annually due to poor data quality.<\/p>\n<h3>Manual Data Entry Is Time-Consuming and Tedious<\/h3>\n<p dir=\"ltr\" style=\"font-style: normal; line-height: 150%;\">It\u2019s no secret it can be a very boring, mind-numbing task. It\u2019s also not an effective use of an employee\u2019s time, yet <a href=\"https:\/\/www.smartsheet.com\/content-center\/product-news\/automation\/workers-waste-quarter-work-week-manual-repetitive-tasks\"><u>40% of workers<\/u><\/a> say they spend at least a quarter of their week on data entry and repetitive work. That time could be better spent on sales, competitive research, product development, or anything that involves more critical thinking.<\/p>\n<h2>What Is Data Entry Automation?<\/h2>\n<p dir=\"ltr\" style=\"font-style: normal; line-height: 150%;\">So, what\u2019s the solution? Data might need to be input into systems, but does it have to be done manually? The answer lies in automation. Data entry automation is the process of converting data into a readable format and storing it automatically.<\/p>\n<h2>Advantages of Data Entry Automation<\/h2>\n<h3>Automation Saves Time and Improves Productivity<\/h3>\n<p dir=\"ltr\" style=\"font-style: normal; line-height: 150%;\">It\u2019s no surprise an automated process can save you tons of time. <a href=\"https:\/\/www.smartsheet.com\/content-center\/product-news\/automation\/workers-waste-quarter-work-week-manual-repetitive-tasks\"><u>Research<\/u><\/a> shows that automated data entry could save as much as one full workday per week per employee. Employees could be more productive on tasks that drive more business revenue while artificial intelligence automates easy tasks.<\/p>\n<h3>Automation Improves Accuracy<\/h3>\n<p dir=\"ltr\" style=\"font-style: normal; line-height: 150%;\">Data errors lead to inaccurate information and poor customer experiences. When data entry is automated, it\u2019s more accurate. <a href=\"https:\/\/www2.deloitte.com\/ro\/en\/pages\/technology-media-and-telecommunications\/articles\/deloitte-global-rpa-survey.html\"><u>Research<\/u><\/a> shows that automated data entry can increase accuracy by as much as 90%.<\/p>\n<h2>How to Automate Data Entry<\/h2>\n<p dir=\"ltr\" style=\"font-style: normal; line-height: 150%;\">A few tools and solutions are available for businesses looking to automate data entry. The best is cloudHQ\u2019s <a href=\"https:\/\/blog.cloudhq.net\/what-is-an-email-parser\/?utm_campaign=email_parser-evergreen2&#038;utm_source=blog&#038;utm_medium=link\"><u>email parser<\/u><\/a>, Export Emails to Sheets, which allows you to turn email information into an organized, automated Google Sheet. Export Emails to Sheets uses <a href=\"https:\/\/blog.cloudhq.net\/cloudhq-email-parsing-artificial-intelligence\/?utm_campaign=email_parser2-evergreen&#038;utm_source=blog&#038;utm_medium=link\"><u>artificial intelligence<\/u><\/a> to parse out email information and analyze email messages, turning the goldmine of information in your email into actionable data.<\/p>\n<p dir=\"ltr\" style=\"font-style: normal; line-height: 150%;\">This is the easiest way to automate data entry, saving time and increasing productivity. You can even create a Gmail label that will auto-sync info from that email to the Google Sheet in real-time. Here&#8217;s a step-by-step <a href=\"https:\/\/www.youtube.com\/watch?v=15Nvx5J9GvE&#038;list=PLdoCIOqi83Zt10EiB3qQhjt1dYWTBfALH\" rel=\"noopener\" target=\"_blank\"><u>instructional video<\/u><\/a> to help you export information from your emails to Google Sheets in just a few clicks.<\/p>\n<h2>Download Export Emails to Sheets<\/h2>\n<p dir=\"ltr\" style=\"font-style: normal; line-height: 150%;\">The switch from manual data entry to an automated tool might sound intimidating, but it\u2019s the right step forward in modernizing your business. Data entry automation saves time, money, and resources, and frees up your mental space to work on higher-level tasks and projects. Using it across teams can save businesses weeks of paid employee time. Download the <a href=\"https:\/\/chrome.google.com\/webstore\/detail\/export-emails-to-google-s\/ibpbagbedfnlepijbnjeanihpoohkocm?utm_campaign=email_parser2-evergreen&#038;utm_source=blog&#038;utm_medium=link\"><u>Chrome extension<\/u><\/a>, and install it in a few steps. Enjoy the benefits of data entry automation with Emails to Sheets.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>cloudHQ \u00b7 Manual Data Entry: Challenges and Solutions in 2022 Did you know an estimated 175 zettabytes of data is projected to exist by 2025? Roughly 2.5 quintillion bytes are created every day, and for businesses, storing, protecting, and analyzing this data gets incredibly time-consuming and tedious. Managing and analyzing data is a full-time job [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":8418,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_genesis_hide_title":false,"_genesis_hide_breadcrumbs":false,"_genesis_hide_singular_image":false,"_genesis_hide_footer_widgets":false,"_genesis_custom_body_class":"","_genesis_custom_post_class":"","_genesis_layout":"","footnotes":""},"categories":[794],"tags":[6444,6323],"class_list":{"0":"post-8374","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-export-emails-to-google-sheets","8":"tag-data-entry","9":"tag-email-parser","10":"entry"},"_links":{"self":[{"href":"https:\/\/emailparser2.wpengine.com\/wp-json\/wp\/v2\/posts\/8374","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/emailparser2.wpengine.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/emailparser2.wpengine.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/emailparser2.wpengine.com\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/emailparser2.wpengine.com\/wp-json\/wp\/v2\/comments?post=8374"}],"version-history":[{"count":0,"href":"https:\/\/emailparser2.wpengine.com\/wp-json\/wp\/v2\/posts\/8374\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/emailparser2.wpengine.com\/wp-json\/wp\/v2\/media\/8418"}],"wp:attachment":[{"href":"https:\/\/emailparser2.wpengine.com\/wp-json\/wp\/v2\/media?parent=8374"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/emailparser2.wpengine.com\/wp-json\/wp\/v2\/categories?post=8374"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/emailparser2.wpengine.com\/wp-json\/wp\/v2\/tags?post=8374"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}