Security is a constant concern for small business owners. When you don’t have the backing of a corporation, one catastrophic event could close your company. Even with all the insurance money can buy, a cybersecurity breach can exhaust your funds.

Because criminals have gotten smarter and more sophisticated with the times, it’s essential to your business’s longevity that you update your security infrastructure. Predictive analytics is one of the most powerful cybersecurity tools you have at your disposal.

Continue reading if you’re interested in learning how big data, especially predictive analytics, can optimize your cybersecurity

Holding on to your old systems may be costing you more than replacing them.

Collecting data is an essential business process. You need it for everything from enhancing the customer experience to finding supply chains and developing new markets. The entire brains of your operation, excluding the one in your cranium, are stored in your enterprise infrastructure. If you’re running a legacy system that can’t manage modern industry demands, it’s a hindrance rather than a help to your company. Not only is your infrastructure lagging, but it’s a cyber attack waiting to happen.

To paint a picture of how huge an industry cybercrime is, ransomware attacks cost companies around $1 billion every year. Cybercrime as a service (CaaS) is a one and a quarter-billion-dollar industry. And you read correctly—cybercrime as a service is a real thing.

The most disappointing part is that many of those losses could be prevented with upgrades to your cybersecurity infrastructure. Employing a next-gen enterprise security program like MonsterCloud could help your company to avert the same kinds of data breaches that have brought down titans of industry. If you’re interested in learning more about what this powerful ransomware prevention platform can do for your company, there’s no better way to see how effective it is than checking out some online MonsterCloud reviews.

What is big data?

One of the most intriguing advancements in technology and business is the use of big data. It’s not a new phenomenon, but data scientists have found some incredible ways to use raw data to help small businesses make better decisions in recent years.

In a nutshell, big data is exactly what it sounds like—an abundance of information. However, it’s the way data scientists apply data mining to extract valuable insights that can be converted into actionable information that makes it extraordinary. There isn’t much special about the data itself. Still, the application of analytics to extricate metrics that give you a microscopic view of specific points in your operations is a powerful tool.

What is predictive analytics?

One of the data analytics components that give small business owners and data scientists alike the most hope is predictive analytics. Even if you know what data analysis is, you may be questioning, “What is predictive analysis?” Simply put, it’s the use of big data to predict future events. Predictive analysis uses artificial intelligence for data mining historical events and applying predictive algorithms to gain predictive insights.

By integrating data analytics—especially predictive analysis—into your enterprise infrastructure, you can see cybercriminals coming before they have a chance to strike your enterprise. Predictive algorithms give you valuable, actionable insights that can help thwart cybercriminals and prevent data breaches.

Some of the top police forces in the United States use predictive analysis to predict a criminal’s next target. If it’s good enough for law enforcement, imagine what it can do for your business intelligence infrastructure and security against cyber attacks. You can also use predictive analysis for predictive maintenance of your physical security systems.

It doesn’t take predictive analysis to see that big data’s cybersecurity implications will only continue to expand. Putting it to use for your business will giv

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