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If you handle large amounts of data in your business, you know the woes of big data noise. Not only is it frustrating, but it can have a very negative impact on your business. So how do you handle large amounts of data without figurative collapsing under its weight?

Get the Right Type of Data

No matter what kind of data you’re using, you need to make sure its of high quality. There are countless companies all over the world that can get you the information you need, but what condition is it in?

If you find that anything is missing, duplicated, misspelled, or just plain invalid, then it’s bad data. The consequences of feeding this data into an algorithm or trying to use it in any other way can be disastrous for your business.

This is what data analysts are for. They can clean the data before you use it, but you’ll need to hire the right type of analysts.

Hire Analysts From Within

It can be a challenge to find the right analyst for your company. Qualified analysts are very hard to come by. If you plan to hire them, make sure they meet your qualifications. Don’t compromise on important skills, because that compromise could cost you.

An easier way than hiring would be to hire analysts from within your company. Find out who will learn or plans to learn data analysts skills, and see if they’re interested in another position. Hiring from within your company can actually save you money, and it promotes a sense of accomplishment when people are promoted. This contributes positively to the overall spirit of your working environment.

Learning skills isn’t the only thing that they need to do. They also need to learn how to clean and vet your data. So even if they learn the skills, it’s quite possible that they’re just not qualified to handle the position. If that’s the case, you can either hire outside help like a consultant, or offer a data analyst internship program for the local colleges. College students get a chance to practice what they learn, and you get to vet them before you decide to hire them. It’s a win-win situation.