23 December 2024, Mon |
8:53 AM
23 December 2024, Mon |
8:53 AM
An integral part of customer satisfaction is understanding your customers’ needs. If you want to deliver high-quality products or services to them, you need as much information as possible about them. Data analysis and generation are critical to success. Big data analytics can be useful for business owners who want to make well-informed decisions. Big data analytics can also help you prevent cyber threats, did you know? We will discuss big data analytics in this article and how to implement it to protect your organization from cybersecurity threats.
Big data analytics uses advanced algorithms and techniques to analyze massive amounts of data from a wide range of sources, including structured, semi-structured, and unstructured elements from terabytes up to zettabytes. Here’s how big data analytics works:
In order to analyze big data, we must collect data. An information gathering process involves gathering raw or unstructured data about your customers. Cloud storage, artificial intelligence, mobile applications, IoT sensors in-store, etc. are some of the various means of data collection.
Most of the data you collect is unstructured or raw. Before you begin your analysis, you must organize it properly to improve its accuracy. Having an overwhelming amount of data makes data processing more challenging because of the high volume of data generated nowadays. Stream processing and batch processing are two major methods you can use to simplify your data processing. Data blocks are examined in bulk over an extended period of time by batch processing. Stream processing, on the other hand, examines data in small batches.
It is important to clean your data regardless of the volume to remove the dirt that may affect your results. As part of the cleaning process, relevant information must also be removed and formatted correctly.
Transforming your data into valuable information is time-consuming, but you can use some processes to fasten the process. The following are the most common big data analysis methods:
– Data mining : this involves identifying existing patterns in large databases by looking for anomalies and creating clusters.
– Deep learning : A deep learning technique uses artificial intelligence and machine learning to find similarities in datasets that have complex and ambiguous characteristics.
Cyberattacks are becoming more prevalent due to the increased generation of data. Big businesses are putting out a lot of information, so cybercriminals are eager to compromise them. A good defense against cyberattacks is being built with data analytics. Here are some ways in which big data analytics thwarts cybersecurity threats.
Using artificial intelligence and machine learning in the development of predictive models makes the cyber threat patterns more accurate. Cyber threats that travel beyond the network’s touch points can be countered in real time by your system.
Monitoring the actions of your employees can also be done through big data analytics. A system responds in order to limit the effects of someone damaging your network.
A network can be brought down by an attacker in just one attempt. Make sure they’ll never get that chance by preventing them from doing so. By installing intrusion detection systems, you can stop an attack before it reaches the point of entry into your network. This kind of process can be automated at scale via big data analytics. Intrusion detection systems analyze data generated by attacks in real time, showing you all the details that you need to stop them. Using their data, you can disrupt an attack instantly.
By using big data analytics, you can gain detailed insight into your network. Your cybersecurity data can be evaluated in-depth to discover the causes of breaches, giving you an overview of the events that led to them.
Most cyberattacks are caused by human error and network blind spots. Cybercriminals exploit loopholes either because you are unaware of them or because you fall prey to their malicious tactics. With big data analytics, you can gather vital information about your system’s operations. In addition, if an error happens in your operations, you can rest assured that an immediate response will be provided.
This story is attributed to Omar Abdulla, Content Developer at TECHx Omar Abdulla is a university student with a passion for business, artificial intelligence, and technology. He is also knowledgeable about digital marketing, content creation, financial management, and coding. Omar is a team player, an active thinker, and an open-minded guy who approaches work with a problem-solving attitude. He possesses technical skills in programming and design.
