Data science is an exciting new field, and one that fintech firms such as Cane Bay Partners are always encouraging today's college students to enter. It is estimated that approximately 28 percent of students entered into a Bachelor of Business are joining to enter the field of data science. 

This is a job that will help businesses to bring an analytic component to tech solutions without investing in technology too heavily. Data scientists deliver solutions on demand, in a way that businesses can recognize and use. Learn more about the benefits of data science in business.

Data Scientists Anticipate Needs

The largest benefit of data science, and the reason businesses use it is to ensure that the business runs better. Performance is optimized by a human that can understand what is happening at the tech level, in order to solve a problem at a human level. This helps a business save on technology investments. Today's businesses are operating at a competitive level that has never been experienced before.

Earning and retaining customers or clients has never been more difficult. A data scientist can help to optimize the back-end, and the front-end to anticipate what the business needs tomorrow. Today's customer expects business to know them before they arrive. A data scientist helps businesses do just that.

When a business is able to capture a customer's data, and turn that into one unit of data to be used for that client to help both the business and client succeed, that is data science. Being able to anticipate the needs of the business, helps the client, and helps the business.

Loss Prevention

Data science helps businesses to thrive, and one way it does that is by mitigating losses and aiding in security and loss prevention. Fraud analytics is a key component of the daily duties of many data scientists. This is a human taking cybersecurity to a new level, in a way that is better than a robot can.

A robot or cybersecurity platform can generate reports on hacking, threats, and even clean up a system. A human data scientist can look at that information, decipher the human element of it, and create a system that will prevent hackers from using that same methodology.

Internal threats are often a larger source of security breaches today than they've ever been. Employees know the workarounds. Data scientists fix that. A data scientist that engages in loss prevention will do so at both the internal and external level. Fraud prevention at the internal level today is as important as preventing external threats from infiltrating a corporate data system. A data scientist will know how to identify and track incoming threats, as well as how to prevent them from happening in the workplace.

As important as a client ID is, so to is the importance of an employee ID for loss prevention.

Invest in Data Science

Data scientists today are a growing field, that is attracting more college students today than ever before. Every role of every employee in a company is to help the company make money. That is what a data scientist does. It does so on the back-end, to anticipate the needs of the business and the client.

It does so on the front-end, to prevent attacks from infiltrating the business space both externally and internally. If you want an employee that can help you to anticipate the needs of your departments, while providing an additional layer of security to your teams, invest in a data scientist today.