Posted by Priyansha Sinha | Last Updated: 08-Aug-18
The General Data Protection Regulation or GDPR was essentially launched to unify and strengthen data protection for everyone in the European Union and it is applicable to all the companies regardless of their location. Whether you are situated in Dubai or Thailand, if you are doing business with EU residents, you’re projected to GDPR.
For companies in Big Data, the most formidable aspect of GDPR is that the organizations have previously gathered supermassive amounts of data and the regulations are applied retroactively. Penalties for non-compliance are grave and a lot of ventures all over the world are being affected.
Impact Of GDPR On Big Data:
Here are some of the points how Big Data will be affected by GDPR:
- A requirement for revised and more powerful security and privacy setup to be addressed.
- A faulty measure fines up to 4% of annual revenue turnover in addition to legal fines and costs.
- Increased requisite for modifying and reviewing organizational applications, processes, and systems. ?
However, the causeway towards GDPR and Big Data Compliance begins with these essential pillars:
Organizations will now have to make a thorough assessment of their data storage and make sure that it is accessible to only those with an actual business need. The big data leaders should take a stock of where the personal data is being fed across multiple and different data sources. They further need to understand and audit these fundamental data sources in order to determine:
- Who all are having access to what inside a business
- Which data channels are being used for what projects?
Allowing Data Subject Requests
One of the most notifiable modifications with the GDPR is the rights of data subjects. Under the latest regulations, the data subjects possess the rights to:
- Have their data erased or be forgotten
- Have the accessibility of retrieving and knowing where their data is being used and for what purpose
- Data Portability
- Analyze and question the scenarios that affect them based on the algorithms?
While you might not predict how many data request you might be getting along your way, but it's vital to keep efficient procedures in place.
In the case of audits, consider ensuring proper data security and governance while monitoring various data sources along the way.
If you’ve already deployed accommodating the data subject requests, you’re already halfway through it. Potential audits and data governance can be aligned parallelly by centralizing all data work in a single platform. Furthermore, security can be largely controlled with the help of data science channels, therefore, banishing the possible threats of private data sweeping around on user’s desktops and spreadsheets.
Change is inexorable and the substantiality of privacy regulations and data protection is that they are going to continuously evolve in accordance with the latest technologies. Therefore, every company working on Big data should be GDPR compliant and its crucial to inherit a flexible process that will transform with the future regulations.
Therefore, the only effective and rewarding technique for running both GDPR and Big Data together is to implement agile solutions that could nurture your operations and are flexible for the change.
If you further want to prepare your applications and services that are GDPR ready, let us know. We are there to help you.