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Do you need a data scientist or a data analyst?

You’ve probably heard it before: Data science is THE sexiest job of the 21st century. But what does that mean? And what about data analysts? But wait, are they even really two separate things?

Yes, they are, and they can fill very different roles within an organization.

Your organization generates data constantly. Smart organizations work hard at capturing their data and making it useful. To help make their data useful, they hire data analysts and data scientists to help decipher their data.

There is a lot of crossover in the two roles, which only makes it harder to figure out which would be more useful to your organization. Data scientists tend to be more mathematically involved in the data. They look at the data as a building block that can be used as a jumping off point for building algorithms that try to predict what is going to happen in the future. It’s not as simple as extending the lines on the graphs you’ve made from your current data. Instead, data scientists try to account for all the variables, even things like weather, using algorithms based on your data in combination with many other data points to guess what’s going to happen next. And some of them can be very, very good at it.

A data analyst is more grounded in the here and now. A data analyst takes the data your organization has produced and explores every element of it. Through savvy reporting, they figure out why things are happening the way they are, right now. They gain insight into how different factors affect your bottom line. And they keep track of your organization’s actual performance in terms of how it is serving your organization’s goals. With this insight, they can provide hard facts about the state of the business based on actual evidence, helping your organization stay focused on real goals rather than chasing after fads and operating on instinct.

So which one do you need most – a data scientist or a data analyst?

Our objective is to make it so that you won’t need either one.

Another way to look at it is that our objective is to give everyone in your organization the tools they need to become their own data guru. To empower every single person in your organization to use analytics to improve performance.

These days, everyone is at least a little data-minded. We all understand some fundamental statistics and are more than capable of interpreting charts and graphs. This data literacy is your friend.

When you take data-literate people and empower them with the easy-to-use data analytics and data visualization in simpleBI, they stop making gut-feeling decisions about business. They stop chasing trends just because the trend is, well, trending. Instead, with their goals clearly defined and their actual performance staring them right in the face, they start making evidence-based decisions. They don’t just think they know what they’re doing is the right thing to do. They can prove it.

And when your employees are sure of what they’re doing and why they’re doing it, they’re much, much happier. And so is the CEO.

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