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How Is the IoT Changing the Financial Planning and Analysis Game?

The Internet of Things could make a huge difference in that sector.
By Aleksandra Arsic
Mar 25, 2020

Employees in the financial planning and analysis sectors know how much time they spend on research, comparing and making sense of numbers. For a financial institution to benefit, it is necessary for people working on this matter to be absolutely precise. There's no room for the tiniest error, because that can mean huge losses—damage to either clients or a company, and it would be disastrous in both cases.

IoT technology comes to the rescue when deadlines are impossible to meet. In fact, banks and other financial institutions are implementing such technology because it provides huge benefits for their firms. Below, you can read more about what the IoT is and how it helps with analysis and planning.

What Is the IoT?
The phrase "IoT" stands for "Internet of Things." It's a rather unfortunate term that doesn't explain anything on first glance. However, what it means is that this technology combines other technologies into one, in order to create a system that will do a specific task as best as possible.

The IoT includes machine learning, automation, analysis, embedded systems, wireless technologies and more. Altogether, these features make a single machine that carries out operations faster, more precisely and more logically.

How Is the IoT Helpful for Financial Analysis?
Financial analysis goes a long way. There are more paths an employee can walk until he or she gets the results needed. Such analysis can be fundamental or technical, but in the end, the important outcome is to create an understanding of the value, risk and performance of a particular issue.

The IoT can take over an employee's position to perform thorough research on a certain subject. For example, if an analysis of a person asking for a loan is required, the overview will show whether or not the client is eligible. The typical employee will need a day or two to do this, but for technology implemented in an office computer, it would only take seconds.

On top of this, the software can make further assumptions regarding money flow, spending, exposure and risk factors. The company will have this data ready within minutes and will be able to finish the process immediately. Managers will have the information in front of them and will easily be able to decide whether or not someone can do business with them.

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