Hello, everyone! If you’re stuck between the concepts of cybersecurity and data analytics, you’re not alone. There are so many others out there feeling the same way. Now let us get to the bottom of this – cybersecurity vs data analytics… shall we?
CYBERSECURITY
Cybersecurity is the process of protecting digital assets such as networks, computers and electronic data through the use of security technology. This is an ongoing process that must be constantly updated to deal with the latest cyber threats.
Most organizations these days use some type of cybersecurity system to protect against cyber attacks. Some common types of cybersecurity systems include firewalls, anti-virus software and encryption software.
Firewalls are used to protect an organization’s network from unauthorized access. Antivirus software is used to prevent viruses and other types of malware from infecting the system. Encryption software can be used to store sensitive information and make it unreadable to anyone who doesn’t have access to the decryption key.
Cybersecurity as a career has seen a huge boom in recent years as companies scramble to keep up with hackers and prevent attacks from gaining access to their sensitive corporate data.
According to the U.S. Bureau of Labor Statistics, the number of jobs related to cybersecurity is expected to increase by 28% from 2016 to 2026, making cybersecurity a lucrative field for job seekers. Some of the skills needed to succeed in this field include problem-solving, the ability to work under pressure and the ability to prioritize tasks.
Salary Of a Cybersecurity Professional
The salary for cybersecurity professionals will vary depending on factors such as industry, years of experience and location. According to Payscale.com, the median annual salary for a cybersecurity analyst is $84,536. I see your eyebrows popping up…
Cons of cybersecurity
There is a lack of people who can design and implement security measures in many smaller businesses so a lot of the work ends up being outsourced to larger consulting firms.
This often results in increased costs. In some cases, these businesses end up hiring a firm that charges huge amounts of money for cyber security consulting services that are often unnecessary.
Another drawback of working in cybersecurity is that it can be very time-consuming. As security threats evolve quickly and often don’t follow the usual patterns, it is very hard for cyber defenders to predict when or where an attack is going to take place.
Also, cybersecurity is a constantly evolving field. New technologies emerge constantly and most organizations have trouble keeping up.
In our article, still on the subject matter, cybersecurity vs data analytics, let’s now look at data analytics.
DATA ANALYTICS
Data analytics is a process that involves analyzing large amounts of data to uncover hidden patterns and correlations that can help businesses and marketers improve their operations and make decisions about their products. Data analysts typically work with databases of customer and consumer information and use it to identify trends and make informed decisions about products and marketing.
Data analytics has become increasingly important for businesses in recent years as companies have become more dependent on technology to collect and analyze information about their customers and competitors. It can help businesses improve operations, optimize marketing campaigns and develop new products.
There are different types of data analysts who specialize in different areas such as marketing, operations and finance. They usually work as part of a large team of analysts who analyze different types of data and come up with new strategies to help improve the business.
Data analytics as a profession is still relatively new and many firms are looking to fill positions with qualified people. There are a number of colleges and universities that offer courses in data analytics and there are a variety of certification programs for people who want to pursue a career as a data analyst.
Salary of A Data Analyst
The salary of a Data Analyst varies greatly depending on their employer and the position they hold within the company. The average annual salary for a Data Analyst is approximately $90,000.
For a start-up company, the salary would be much lower than this average as they are generally trying to save money wherever possible, but for a new employee, you can expect to be earning more in the second or third year of your employment than you would in a large and established company.
Cons of Data Analytics
Are there cons to Data analytics? Let us find out.
- While data analysts bring value to organizations and help them make strategic decisions, they can also introduce new risks and expose the organization to cyber-attacks. This is because all the data that is collected and stored needs to be secured and protected to prevent it from being accessed by unauthorized users.
- Hackers target organizations that use data analytics applications to gain access to their data and steal valuable confidential information.
Cybersecurity vs Data Analytics – How to Balance Security with Big Data
If you observed the cons of Data Analytics, they tilted towards cyber insecurity. This means that both fields have to be closely aligned in any establishment or organization. Companies are spending more on big data cybersecurity than ever before to make sure they can protect their data at all times and prevent data breaches that can cost them millions of dollars. How then can we balance security with big DATA; Cybersecurity vs Data Analytics.
Five ways to balance Cybersecurity and Data Analytics.
You can balance data security using big data analytics by taking the right steps to protect your data and secure your IT infrastructure. Here are some things to keep in mind:
Keep Your Systems Updated
Make sure to keep your systems up-to-date by updating your operating system and web browser regularly with the latest patches and security fixes.
Use industry standards and best practices to protect sensitive data and avoid data breaches. Organizations that follow these data protection practices have a higher level of security than those that do not.
Apply the Right Security Controls
Applying strong password policies and restricting access to confidential data only to those who have a need to know are some of the security measures you can take to secure your systems.
Regularly Back Up Your Data
Backing up your data can help you recover in case something goes wrong with your systems and files and allows you to access important information when you need it the most.
Use Encryption When Possible
Encryption is the most effective way to secure your data and ensure that it cannot be accessed by unauthorized users.
Use Industry-Standard Data Protection Practices
Just as you should have learned from this article on cybersecurity vs data analytics. You have to work with industry-standard protection practices. Do not, I repeat, do not reduce the integrity of your organization’s data security for any reason whatsoever.
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