EU GDPR: What To Do, When To Do It
Promontory | 05/24/2016Do Now: Start the Change Process
Become familiar with the GDPR and raise awareness of its significance by:
- Identifying elements of the GDPR that are most likely to affect your organization, particularly in relation to: business strategy, infrastructure and IT planning, new market ventures, and business-model development
- Developing a vision of the changed business and preferred outcomes for the organization in the context of the GDPR
- Communicating key messages about the GDPR with senior internal stakeholders
By Spring 2016: Initiate the Program
Set out a GDPR change-program plan by:
- Obtaining a mandate from decision-makers to establish the change program
- Establishing the activities needed to achieve the required change, and the resources required
- Defining success criteria for the program and activities to be undertaken
- Formulating a program approach and governance structure
- Recognizing the interdependencies between this change and other initiatives underway or planned
- Understanding the need to manage the change program while maintaining business as usual
- Establishing a stakeholder-management plan and engaging key people in the business about the changes required
Identify strategic and critical questions for immediate consideration, such as:
- Location of the organization’s main establishment
- Appointment of a data protection officer
- Risk appetite in the context of higher maximum fines
- Potential impact of the U.K exiting the European Union after a referendum
Identify GDPR personal-data processing topics that are critical to your business model, for instance:
- Lawfulness of processing, in particular the use of consent or legitimate interests
- Processing of children’s data
- Processing of special categories of data, or data related to criminal offenses and convictions
- Use of automated decision-making, including profiling
- Organization as a data controller and/or processor
- Conditions for transfers of personal data to third countries
- Data processing for specific situations, such as for journalistic, scientific, or statistical purposes
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