Since 2011, the industries of the world have engaged in their fourth revolution, aptly named industry 4.0. This era of innovation aims to overhaul production in the United States with a focus on automation, artificial intelligence and machine learning––all combined with a connectivity between machines through the Internet of Things (IoT). Like the steam engine did for earlier industrial revolutions, data science is looking to take the business world to the next step of production.

So, how can data science help leave you with a little extra money in your pocket? Let’s have a look at four ways that data science can impact your finances.

1.It can help you determine who to invest in.

To put it simply, unless you have a bachelor’s degree in economics, it can be incredibly hard to get yourself on the investment ladder. Yet, with sites like wealthrocket.com, it’s not only possible for beginners to take a piece of the pie, but they can help you learn more about the investment world too. In fact, they can provide the framework to help you with all of your finances, not just investments. From savings accounts to managing the interest rate on an overdraft fee, or increasing a credit score for a bigger purchase, Wealth Rocket takes complex problems and makes them simple to solve.

This is one use of data science that can have huge repercussions for your wealth. You don’t even need a lot of technical skill to be using data in this way; the website has plenty of built-in algorithms to do the hard work for you.

2.Data science can be used to help you start your own business.

If you’re looking to take a more hands-on approach with handling data, then you’ll need to know just what is a data scientist. In short, these are jacks-of-all-trades when it comes to handling the information within an enterprise. Check out Intellipaat’s Data Science courses to upgrade your skill. Ordinarily, a data scientist is qualified to the point of a bachelor’s or master’s degree in computer science and will work either as a freelancer or as part of a third party company.

Either way, you can enlist their help in starting a new business. The best enterprises began with an entrepreneur seeing where there was a demand in a market and ensuring that demand was being met. The traditional way of coming up with an optimal way into the market would have been through research and generally involving direct surveys with the intended audience. However, sifting through this data would be time-consuming, and that’s on the assumption that people were willing to give up their time to respond.

Today’s market research is mostly conducted online and quickly as to not inconvenience potential respondents. As a result, much more information can be worked with more quickly, and the information can be presented in such a way as to clearly indicate where the gaps in the market are.

3.It can help you gain stakeholders.

Stakeholders help ensure that a business grows from fledgling to serious almost overnight. They’re a symbol that your company should last for the long run and that it’s trusted by others that much that they are willing to back you financially. By having a data scientist on hand, you can take the details of your businesses successes and present them in such a way that guarantees, not only their faith in its present state, but how it will be in the future as well.

Data visualization and predictive analytics are parts of data science that help you make your business decisions easily readable to people who aren’t involved in your enterprise. Seeing how you intend to use their investment in a way that is clear and successful will help you keep the stakeholders you’ve gained.

4.Data science ensures you don’t have to spend on unnecessary resources.

One of the largest losses that businesses have is in the wasting of resources in production. However, through the help of third party companies to manage the large amounts of data, enterprises can see and streamline their entire process. Supplies can be adjusted in real time to account for the current stock levels, just as well as shipping and distribution can be correctly scheduled as to keep product in transit for only as long as necessary. Beyond that, the data scientists can assist in ensuring that demand is constantly being met, and will do well into the future.