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According to one study, about 60% of workers say that they could save six hours a week if they didn’t have to do manual data entry.
Whether you’re doing manual or automatic data entries, there can always be data management errors.
But what are they, and how do you avoid making them? Keep reading to find out!
1. Not Having Someone to Manage It
When you have a bunch of data to manage, you need to make sure there is a data governance body who will help control it. You need to make sure that you can keep the framework of all of the data organized and together.
You need to make sure you hire people who are skilled in that area and won’t take their job lightly. They’ll be able to manage data effectively and ensure that if there is an error, they catch it immediately and figure out what went wrong.
2. Not Doing Enough Profiling
You need to ensure that you have an ELT that will process and clean the data. However, the data might change over time, which means the ELT will only work for the data you have now.
Because of this, you’ll need to profile it to figure out what trends show so you can predict how the data might change over time.
3. Assuming Your Enterprise is Accurate
All of your efforts are pointless unless you ensure that people enter the data in the tool correctly.
Your business will grow, which means you’ll have more data, and your employees will be busier and have more responsibilities. So make sure that you come up with a good strategy and have good applications to ensure your data is entered correctly the first time.
4. Ignoring the Quality of the Data
You should have a quality assurance team who can ensure that the data is correct and entered accurately. They will be in charge of setting up processes that act as a fail-safe to prevent data from being entered wrong in the first place.
They may use an application like ActivePDF or other apps and audit them to ensure that the apps are working correctly.
5. Skipping Assessment
Lastly, make sure you don’t skip any assessments of the apps or data.
Many people tend to skip this stage because they trust the apps and people entering the data. However, this can end up causing you a lot of work later on down the road.
Instead, come up with certain measurements that will analyze the quality of the data for each domain and category.
Discover More of the Common Data Management Errors
These are only a few of the common data management errors that people make, but there are many more out there.
We know that managing it can be stressful and overwhelming sometimes, but you don’t have to do it alone. We’re here to help you figure it all out!
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