Data has become increasingly important in the digital age, and having the right data in the right place at the right time can make a huge difference in your company's success. Unfortunately, so-called "bad data" can lead to all kinds of problems in business, so you need to know what bad data is and how to prevent it.
Below are some of the biggest impacts bad data can have on your company:
Wasted Productivity
Bad data encompasses data that drags down your processes. For example, if you have a mailing list for your company's newsletter and it contains fake addresses or incomplete addresses, you may end up with a cluttered inbox full of returned emails. This takes valuable time to sort through and fix, and this is time that can be better spent on more productive things.
Additionally, productivity can be cut short if your web forms aren't optimized or are unclear. When you're trying to gather specific data from website visitors to send out your newsletter, your forms should lay out what information you're asking for. If things aren't labeled clearly or they don't explain what the visitor should enter, you're going to waste a lot of time guessing as to what the entered data pertains to.
Missed Opportunities
Bad data can also lead to missed opportunities. In the above example, bad data supplied by website visitors means you don't have all of the information you need to send out newsletters to leads and existing customers. This can mean that your business misses out on sales opportunities, and once those opportunities are gone, they may be gone for good.
Targeting Bad Data
The good news is that you can target bad data by conducting a bad data analysis. This is an analysis of your data capturing, archiving, and retrieval systems and processes. When you conduct a bad data analysis, you want to make sure that you not only address incomplete data but also that you pay special attention to clearing out and reducing duplicated data.
Author Resource:-
Jeson Clarke writes about technologies, import/export data and customs data tools. You can find his thoughts at self-service analytics blog.