Undoubtedly, our current way of life is dependent on our access to digital space. The majority of things online have changed dramatically in the twenty-first century; businesses are now relocating to the cloud, and we have access to online banking and marketing, as well as our social and personal lives, which are all available in the digital world.
This implies that, regardless of how open you are to people in your circle, there is some data or information that you keep to yourself only. The same is done digitally with personal or business information processed while using your computer or other online devices.
There are numerous ways for an individual to keep their digital contents or information private. This includes browsing in private mode by limiting the amount of personal information you share on the internet or simply posting on social media platforms.
Another way to protect your digital privacy is to be cautious of links that you click, as some of them can be used by hackers to breach your privacy. Before proceeding with any sign-up process, you must be able to verify app permissions and review privacy policies.
In addition, using navigation privacy tools and a VPN helps to encrypt any data that you use in the digital space, which serves as a medium for protecting your mobile devices or computer systems. It has also proven to be one of the most effective forms of cybersecurity in terms of providing digital privacy and preventing Internet Service Providers (ISPs) from prying into your personal or business metadata.
Online web services, antivirus software systems and the use of biometrics are other methods for keeping your data private.
All of the tools listed above serve the same purpose: to provide privacy to an individual’s or company’s digital presence, which entails the protection of your payment data, health data, and identification data.
As a result, even if the company, website, or social media platform has assured you of its security, you must go above and beyond to protect what belongs to you digitally in order to prevent it from being stolen or corrupted overnight.
The amount of data produced is increasing by the day as a result of technological advances such as Artificial Intelligence (AI), Machine Learning, and the Internet of Things (IoT). This enables businesses to protect any volume of data following the analysis process.
Nonetheless, Big Data technologies have proven to have an impact on protecting whatever data a user inputs, creates, or transfers while navigating the internet space using a computer or mobile device. This includes not only data received from individuals, but also data obtained from streaming, machines, robotics, and IoT devices; in other words, whatever digital format exists must be protected.
In general, the increased use of various online technologies, as well as the consumption of online materials or media, has resulted in a high rate of data circulation, causing numerous data management issues in firms, companies, and organizations. Big data analytics can easily deal with such issues.
There is no doubt that data is infinite in terms of how much is created and processed at any given time. The peculiarity of the data used by various organizations differs due to its differences in nature, as it comes in formats of structured, unstructured, documents, images, videos, numeric, stock data, statements, and financial agreements.
Big Data, on the other hand, analyses all types of data and collates it, stores it, and even manages it in formats appropriate for such data.
Furthermore, every organization has a valuable asset known as Data. The need to successfully devise such an asset and make schemes on how to gather the data, utilize it efficiently, and protect it effectively should occur during the organization’s running process.
Because of the massive amount of data in each sector, utilizing other cutting-edge technology such as Cloud Computing allows for faster and more effective analysis. Because Big Data analytics can be easily used to track, redefine, and analyze data, businesses and organizations can become more reputable in their field.
The next application of Big Data is in data security and privacy. This is an important aspect of data management that must be taken into account in order to protect their digital footprints, even if it requires facilitating privacy policies related to the organization’s data and guaranteeing the proper process without a data breach.
Although many applications and businesses share their data, it is critical to implement specific criteria and policies when using Big Data to promote digital privacy and ensure that the data shared is used to aid businesses in various domains after being processed into tangible information.
Three considerations for implementing Big Data while maintaining data privacy
- Data breaches
This is primarily the area in which sensitive data, also known as data privacy, is accessed without authorization.
When there is a data breach, it is usually due to outdated software, targeted malware attacks by hackers, and weak passwords. As a result, its occurrences have a negative impact on the organization’s reputation and result in significant financial loss. To avoid such issues, software must be updated, passwords must be changed frequently, and ensured that they are strong, and employees’ activities must be monitored for the most recent security tips.
- Data brokerage
Before buying and selling data, extensive research is required.
Some businesses purchase unprotected data that contains incorrect information, which can lead to flawed algorithms and leave their database vulnerable.
In this case, organizations should obtain data sets from a reputable source to ensure that Big Data plays its role.
- Data discrimination
Organizations may have utilized a prominent algorithm during analytics that could penalize employees or customers based on particular data – age or gender that is imputed, resulting in discrimination.
Organizations should make every effort to avoid bias in Big Data analysis.
When it comes to protecting your digital privacy, you must take specific steps. Data is collected, processed, cleaned, analyzed, and mined with the help of Big Data, Artificial Intelligence, and Machine Learning.
Big Data provides a comprehensive analysis of your data to ensure its privacy and security. This includes using Big Data analytics to build predictive models to identify a cyber threat, real-time surveillance of employee unsafe activities that could result in information exposure, and access to detailed information on activities completed in and around your network database.
Furthermore, specific tools must be used to ensure that all of these processes are successful. That is, utilizing a cloud-based privacy tool capable of meeting privacy challenges, as well as utilizing the appropriate user-friendly tool that works well with your team and dataset. You should also be able to find an automation tool that works well with Machine Learning, allowing you to fully optimize and use correct data quality.