Data is a big thing in today’s society! All that information is extremely useful to businesses from all industries, and this helps make it enormously valuable. Today, the world produces more data than ever before, and a lot of that is down to the internet. Through our websites and social media pages, we can build up endless amounts of data about our customers. We can log where they access the internet from, learn their gender and age, track the links they click on, collect email addresses, find out their preferences – the list goes on and on.

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The trouble is, we have access to so much data, that eventually it becomes difficult managing it, and we have to find the best ways to turn it into actionable insights. This is where data analytics and techniques like SQL join come into their own, helping us make sense of all that data and turning it into something that can help us improve our businesses.

There are many ways we can use data to expand our businesses, but here are some of the key areas it can help.

It Helps Us Make Better Decisions
If someone comes into a physical shop, they come in, and they leave. If they bought something, you might be able to collect some data on them, but if they don’t, then they’re gone (possibly forever.) In comparison, if that same person visits your website, you will collect some form of useful data on them. At the very least, you will know which pages they visited and how long they were on each page. This data is extremely useful for business owners because when you scale this up over many thousands of people, you build a picture of what content works with your visitors, and what doesn’t.

Just from two metrics (time on page and pages visited), you can make more informed decisions about your business, and digital marketing gives you access to many more metrics than just these two. When you add in all the data you collect across your social media platforms, your websites, and other online tools, this gives you a huge amount of information to help you make informed decisions. Collecting the data isn’t necessarily the hard part; it’s about knowing how to use it.

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