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    1. QUESTION

     

    How to achieve GDPR compliance

     

    Instructions
    Please cover below topics with subheadings
    1)performing Data Flow Analysis
    2)setting up a data governance framework
    3)Ensuring Data Protection and Summary
    4)Setting up Data management processes
    5)Employing a data protection manager
    6)Conclusion

     

 

Subject Essay Writing Pages 4 Style APA

Answer

How to Achieve GDPR Compliance

The General Data Protection Regulation (GDPR) came into force on May 25th, 2018. This is a regulation that was brought up by the European Commission (EU) with the intention of strengthening and unifying the protection of individual’s data within the EU. This is regulation is achieved in the ways discussed in this essay.

  1. Performing data flow analysis

This is one of the most important parts in complying with the GDPR regulation. It based on understanding the type of personal information one is processing or collecting. According to Article 30 of the GDPR, an organization has to uphold a record of processing activities under their responsivities (Vollmer, 2018).

To do an effective data flow analysis, one has to comprehend the information flow. This is the transmission of information from one point to another. There is a need to also describe the information flow by walking through the information’s life cycle and identifying unintended or unforeseen data uses. Lastly, identification of the information’s key elements is of necessity. These include understanding and defining data items. Formats, transfer methods, location, accountability, access, and lawful basis.

Data flow analysis comes with a few challenges that one has to deal with. Identification of personal data is one of them. This is because personal data may exist in different locations and stored in different formats. Deciding what information is needed and in what format to store it might be hectic.

  1. Setting up a data governance framework

Data governance is the general management, usability, availability, security, and integrity of data in an enterprise. It used for establishing an enterprise’s level control environment for governing how data is used, processed, protected and stored. It deals with the type of information an organization processes, the processing location, how it is processed and the measures set up for secure processing.

Data governance can be implemented in an organization in the following ways. The first step is understanding the type of information an organization process. It gives an accurate picture of the following steps in governance. Also, there’s a need to do a conceptual analysis where one lays out the business process for determining what information is processed and how the information might be involved in the course of the business.

Once the big picture is understood, there is a need to have a suitable control environment for managing the information. Understanding and establishing procedures, infrastructure and policies to address personal privacy right is also a necessity.

  • Ensuring Data Protection and Summary

After individual data governance and inventory framework has been established, the next step is to set up the right protection level for the target data. To comply with the GDPR, there are three techniques that can be used for data protection. One is data encryption. This is the translation of data into another form to make sure that it is only accessible by individuals who have the secret decryption key. The second way is pseudonymization were personal identifiable fields of information in a data record are substituted with one or many pseudonyms or artificial identifiers. And lastly, anonymization which involves encryption or removal of personally identifiable information in a data record to ensure the anonymity of the people described in the data (Penel, 2018)

One must apply the suitable technique based on the usage context and user’s rights. This should be done without compromising the growing need for forecasting, analysis reporting and querying needed by an enterprise. 

  1. Setting up Data management processes

Data management is a process that involves the acquisition, validation, storage, protection and processing of required data to make sure that reliability, timeliness, and accessibility of the data by the users are achieved. Organizations have to provide the best strategies for achieving the above-mentioned requirements without compromising GDPR standards.

There are a couple of resources available on the wen that can help with data management. These include; Commvault, IBM, Informatica, Integris Software, SAS, Talend and many more (King, 2018).  In line with giving people control over their personal data, GDPR dictates that individuals have the right to obtain and request any of their data present in any organization and following some conditions can also have the data deleted.

  1. Employing a data protection manager

A data protection manager is a professional who is responsible for impending required measures for protecting data in an enterprise. They hold the role of security leaders in overseeing all data protection strategies. They should create goals for data protection, make sure that data subjects and controller aware of their rights, responsibilities etc., handle complaints and queries, conduct audits and many more (Waris, 2018).

Conclusion

Compliance with the GDPR regulations is among the most necessary business imperatives for enterprises. Failure to this means substantial penalties by the regulators resulting in loss of revenue. To comply with GDPR, once can’t depend on common knowledge of where they assume personal is. GDPR requires enterprises to verify that they know where personal information is or is not.

 

References

 

Vollmer, N. (2018, September 5). Article 30 EU General Data Protection Regulation (EU-GDPR). Privacy/Privazy according to plan. Retrieved from http://www.privacy-regulation.eu/en/article-30-records-of-processing-activities-GDPR.htm

King, T. (2018, October 24). 8 Data Management Solutions to Consider for GDPR Compliance. Retrieved from https://solutionsreview.com/data-management/8-data-management-solutions-to-consider-for-gdpr-compliance/

 

Penel, O. (2018). 5 steps to sustainable GDPR compliance. Retrieved from SAS: https://www.sas.com/fr_ca/insights/articles/data-management/5-steps-to-sustainable-gdpr-compliance.html#/

Waris, B. (2018, July 5). A Complete Guide For Hiring A GDPR Data Protection Officer (DPO). Retrieved from ECOMPLY: https://ecomply.io/gdpr-data-protection-officer-dpo/

 

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