Unlocking data security to drive inclusive business growth continues to be a significant challenge for the companies. The complexity of big data projects is increasing with the continuous flooding of more information and a parallel rise of constant security breaches. Considering these factors, it is no surprise that companies continue to battle for shoring-up their security measures.

Managing online data security to steer away from the current information theft is quite a challenging task. The rapid advancements in the information technology have further escalated this challenge. On an average, an end-user accesses various websites and deploys a myriad of applications and operating systems on their devices. This additionally translates to ever-increasing data velocity and volumes.

Let's have a closer look at how successful protection from this threat landscape drives efficiency and productive security:

To overcome big security issues, enterprises are following best practices. The very first step to manage and procure your critical information is the deployment of cloud service. It is regarded as the best safety net to ensure accuracy of the company's personal data. As most of the organizations are unable to make huge infrastructural investments to support their big data initiative, they leverage the power of cloud-based applications. The service providers offering cloud storage housed in a data center facility provides enterprise-level security, which is not only cost effective, but also enables businesses to avoid any single point of failure. 

The application is backed by multiple servers, so even if one of the servers crash, a firm's information is still safe as it is stored in multiple locations. Moreover, the cloud service providers regularly monitor and audit its cloud networks to ensure dataconfidentiality, availability, and integrity. In this way, a company is less susceptible to hardware malfunction risks and is able to reduce security risks to its big data.

The next step to enable better usage of big data files is to employ converged storage. This is a more efficient way to reduce errors that are likely to influence the data accuracy or quality. The method follows de-duplication strategy to reduce information vulnerabilities.

Another way to effectively arm your company against information threats is to properly sanitize your data by applying filtering, pruning, cleaning, matching, diagnosing, and conforming practices. It is always advisable that information sources either need to have references or linked with data elements so it can easily tracedback to its original source.

To conclude, analyzing big data often means facing big challenges in terms of data protection. By following above practices, a company can ensure safety measures to protect its critical information against vulnerabilities. However, the privacy and security concerns of big data still remain unanswered.