Big data security analytics utilizes advanced strategies to analyze and manage large sets of data. This may include structured or unstructured data, data from various sources, and different sizes of data, from terabytes and petabytes to exabytes and zettabytes.
The amount of data generated by just one business is staggering. For example, data is created each time a customer:
- visits your website
- makes a purchase
- opens an email
- calls your customer service department, or
- interacts with your company in any way.
Data is also constantly created internally within your supply chain, human resources, marketing and R&D. Analyzing this data is critical to securing your business operations, however, this can sometimes be challenging. Here’s how.
1. A Shortage of Capable Data Scientists
The exponential growth of data volume over the last several years has created a significant demand for professionals who can manage and make use of such a large amount of valuable data.
Unfortunately, few data professionals today understand the importance of big data analytics and how to effectively analyze big data and mobilize the results for actionable intelligence.
A marked lack of capable big data scientists plagues the network security industry and is a challenge for companies who need in-house data management. Currently, there is simply a larger demand for big data security analytics than there are knowledgeable professionals who can effectively work with it.
2. Extrapolating Actionable Intelligence From Security Analytics Reports
Handling big data doesn’t stop at categorizing and storing it. The most important part of big data security analytics is being able to extrapolate meaningful insights that allow your business to protect its intellectual property and pursue growth opportunities.
Many businesses are overwhelmed by the sheer volume of data to be analyzed, along with the inability to manipulate it in ways that indicate trends and network anomalies. Without proper data analytics, your business may continue to invest in ineffective network security tactics leaving you open to attacks or data theft. This, in turn, could cause your bottom line to take a hard hit.
When managed properly, analytics reports can tell you which network security efforts to terminate and where to invest additional money. Companies may find these challenges difficult to overcome, especially without an experienced data scientist at the helm.
3. Large Volume Data Security
Keeping big data safe in today’s technological climate is difficult as hackers grow more sophisticated. This challenge increases significantly the more data there is, meaning that big data sets are at a high risk of being hacked.
This is particularly true for companies in industries like healthcare and finance since the data can be used to commit various types of fraud, such as:
- identity theft
- credit card theft
- check fraud
- healthcare fraud
Companies with big data sets have greater cybersecurity needs than companies that don’t have large volumes of data. That’s why it’s important to ensure only authorized parties are allowed onto your business network. Because big data is often stored together, once a hacker gets in, they quickly gain access to all the data.
This can be detrimental to your bottom line and your company’s reputation. In many cases, big data thieves have done so much damage that it has led to the closure of businesses across most industry sectors.
How NetQuest Can Help Your Business Manage and Benefit From Big Data Security Analytics
NetQuest can help your business find effective security solutions to manage and analyze big data in ways that provide your company with valuable insights and actionable information. Contact us today to learn more about how we can help you manage, analyze, and keep your big data safe.