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DPIA (DATA PROTECTION IMPACT ASSESSMENT)

               50 minutes, including interactions and downloads


               Suitable for

               This course is for those involved in carrying out data protection impact assessments,
               which could include:

                    •  Data Protection Officers                  •  Supervisors
                    •  Project Managers                          •  Team Leaders
                    •  Directors                                 •  Managers
                    •  Consultants

               Overview


               A Data Protection Impact Assessment is a way of analysing how data is processed
               to help identify and minimise any data protection risks.

               DPIAs are a legal requirement for processing that is likely to be high risk, but an
               effective DPIA can also bring broader compliance, financial and reputational
               benefits. It can help ,demonstrate accountability and build trust and engagement with
               individuals.


               Data Protection Impact Assessments are often used on a project basis which may
               focus on a particular part of a business, or a new process. The basic procedure can
               be adapted for large or small projects; they should be used as an ongoing method
               which reviews the risks from data processing.

               Course Objectives

               In this e-learning course, users will learn the importance of a Data Protection Impact
               Assessment and how to effectively administer it from start to finish to comply with
               Data Protection Regulations, including a complete DPIA template for use in the
               workplace:


                   •  Understand a Data Protection Impact Assessment, why it is important and
                       why it is legally required
                   •  Establish where DPIA’s are a legal requirement
                   •  Identify the data that is being processed and how
                   •  Explore the potential risks associated with the data collection
                   •  Assess risks and what can be done to reduce them












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