If you think that investing in software to automate your systems will cost you more money than doing everything manually, you’re not alone. Many businesses operate under the assumption that paying for automation is more expensive than paying people to do things. The truth is there are hidden costs to doing things by hand, and those costs can significantly affect your bottom line.
We’re going to look at the hidden costs you may not realize you’re incurring by doing your data entry manually. The magnitude of some may surprise you.
1. Increased error rate
Workers entering data manually, without verification, can have an error rate as high as 4%. That means for every 50 entries, two are wrong. In an experiment in 2009, it was shown that data entry workers made up to 10.23 errors when entering data from thirty spreadsheets. This is the nature of human data entry.
When errors involve money, the stakes are high. These errors could lead to over-and underpayments, over-and undercharging customers, disruptions to the accounting and auditing processes, and may lead to financial trouble. Data entry errors have cost companies millions of dollars.
2. It takes time
Manual data entry takes time. The average typist can perform 10,000 to 15,000 keystrokes per hour. Depending on the amount of data and its form, it can take even the fastest typist hours to perform data entry. If the data requires comprehension or analysis before entry, this slows down the process even more.
It could take a competent operator between 8 and 10 minutes to enter 400 units of data. This may not seem like much, but if the volume of data is high, it can cost your company valuable time that could be spent on other workflows, like analyzing the data.
3. Can’t focus on important business tasks
With so much time spent ensuring that the data entered is correct and finding and fixing errors, there is no time left to work on the business. Managers spend their time ensuring that the data they’re reporting is accurate and less time actually analyzing that data. A survey found that 37% of manufacturing professionals don’t trust the reliability of manually entered data when making strategic decisions. If you can’t trust the data you’re getting from your team, how can you grow your business or take on additional work?
4. Inhibits business growth
When management receives data, it often makes decisions based on that information, whether it’s correct or not. These decisions may inhibit the growth of the business. For example, a costly mistake can lead managers to believe a project is over budget when it’s not. They then make moves to cut company spending to protect the company, when instead, they should be investing in future growth.
5. Hidden costs
Most companies think automation costs more than entering data by hand. The truth is there are hidden costs to entering data manually. There’s the obvious labor to enter the data, then more labor to check for mistakes, and more labor to fix the mistakes. At each level, it becomes more expensive and time-consuming to detect and correct mistakes.
It has been shown that incorrect data can cost companies up to 30% or more of their revenue. In particular, a 2018 Goldman Sachs report stated that the direct and indirect costs of manual paper invoice processing are $2.7 trillion for businesses around the world. The hidden costs of manual data entry can be enough to make or break your business.
6. It’s boring
Continually spending days or hours doing mindless data entry can lead to employee dissatisfaction and turnover. When workers spend hours keying in the same information, they are bound to lose focus, which increases errors and leads to frustration. Data entry work is repetitive and tedious. 55% of employees in a survey cited the collection, uploading, and synching of data as the least productive part of manual data entry. When employees don’t feel productive, their morale lowers and they are then more prone to make mistakes.
Automation is the solution
How can companies save themselves the time and money that is lost through manual data entry processes? Automating as much as possible is one way to recoup these costs. By using machine learning and automation, the software can automate much of the data entry process, leading to fewer mistakes and speeding up the process.
Premier Software uses AI, machine learning, and automation to speed up invoice entry and other repetitive tasks, so you can spend time working on your business and less time entering data. For a demo of how our automation works to save you time and money, schedule one today.Author Biography:
Dawn Killough is a construction writer with over 20 years of experience with construction payments, from the perspectives of subcontractors and general contractors. Dawn has held roles such as a staff accountant, green building advisor, project assistant, and contract administrator. Her work for general contractors, design firms, and subcontractors has even led to the publication of blogs on several construction tech websites and her book, Green Building Design 101.