The past few years has seen an incredible amount of data being released into the digital world — 44 zettabytes of it, according to the World Economic Forum. According to the organization, 306 billion emails are sent on a daily basis. In five years, the world is expected to produce 463 exabytes of data every day.

All of that data can greatly benefit a business, but only if they know how to analyze and make sense of it all. This is where data analysis software comes to play. With this kind of software, businesses can inspect, clean, transform, and model data to discover information they can use to their advantage. It has become so important that Statista says the market for business intelligence and analytics software is expected to amount to $14.5 billion by 2022. 

A Guide On How To Choose Software

Faced with these kinds of data analytics software statistics, one can’t blame businesses if they seek out assistance on how to choose analytics tool properly. If you’re one such business owner looking for a guide, here are some tips on how to choose the right data analytics software.

1. Have a list of the features you need

Before you put out money and buy software, you should first have an idea of the features your business will need and then perform a data analytics tools comparison. Do you need the software to run on both Android and iOS? Do you only need it to run on Windows? Does the software need to have shareable dashboards? Listing down all of the features necessary for your company will be an immense help when you start shopping for software.

2. Decide on the data you want to track

There are different data analytics tools and techniques, so knowing precisely what kind of data you want to be on top of will help out when trying to invest in data analytics software for your company. Are you looking for something that can easily import analytics data from the Youtube API? Or are you looking for something else? Without having a clear idea on the information that you want to track, you might end up getting software that will only give you an overview of the data and not the granular analysis you may be looking for.

3. Find out if the software can scale up

Depending on the kind of data analytics software your company decides to acquire, they might end up making quite a hefty investment. Before shelling out a lot of money, it is best to find out if the software can scale up along with your business, especially if you decide to acquire it during a period of quick growth for your company. You shouldn’t choose a software just because it has a cheap price tag. If you need to constantly buy new software because they cannot scale up with your business, you might end up spending more in the long run.

4. Ask the vendor for a demo

This might seem obvious, but asking the vendor for a demo can only really be beneficial to you if you’ve followed the previous steps on this list. If you know the features you need, have an idea of the data you want to track, and are confident the software can scale up with your business, then you can ask more pointed and substantial questions during the product demonstration. This also helps you from being won over by flashy interfaces.

5. Ask the vendor what support infrastructure they have in place

The last thing to ask before settling on data analytics software is what kind of support the vendor offers once the sale has been made. All the features may work during the demonstration, but you can’t predict the issues you might encounter during the time you use the software. 

Does the software come with a knowledge resource that you and your IT team can check when you encounter problems? Does the vendor have a customer support and technical support team in place? How can they be reached? Knowing what support they offer once you’ve bought the software will make the decision-making process easier, since you know where they can be reached if there are problems encountered in the future.

The quick and easy solution

Using data analysis tools in research can be incredibly helpful, which is why you want to choose one that addresses your needs. One tool that you can look into is Apipheny,  which promises to make importing data quick and easy. 

Whether it is importing analytics data from the Youtube API or getting CoinMarket’s API onto Google Sheets, Apipheny can help you do it, even if you do not have any previous coding or scripting experience. Apipheny works with most APIs and can even schedule API requests. Users can post and get requests, and it even includes a JSON Parser.

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