GDPR8 min read

Data Protection Impact Assessments (DPIA): When and How

A Data Protection Impact Assessment (DPIA) is a structured process for identifying and minimizing data protection risks in new projects or processing activities. GDPR requires DPIAs for certain high-risk processing, and they represent good practice more broadly for managing privacy risk.

Key Takeaways

Point Summary
When required Mandatory for processing likely to result in high risk to individuals
Specific triggers Automated decision-making, large-scale special category data, systematic monitoring
Purpose Identify and mitigate privacy risks before processing begins
Documentation Must document assessment, risks identified, and measures taken
DPA consultation May need to consult supervisory authority if residual risks remain high

Quick Answer: A DPIA is required when processing is likely to result in high risk to individuals, particularly for automated profiling, large-scale sensitive data, or systematic monitoring. Conduct DPIAs before processing begins to identify and address risks.

When is a DPIA Required?

Mandatory DPIA Triggers

GDPR Article 35 mandates DPIAs when processing is "likely to result in a high risk to the rights and freedoms of natural persons." Three specific scenarios always require a DPIA:

Trigger Description
Automated decision-making Systematic and extensive evaluation of individuals based on automated processing, including profiling, that produces legal or similarly significant effects
Large-scale special category data Processing special category data (health, biometrics, race, etc.) or criminal conviction data on a large scale
Systematic monitoring Systematic monitoring of publicly accessible areas on a large scale

Additional High-Risk Indicators

The European Data Protection Board (EDPB) has identified additional criteria. Processing that involves two or more of these criteria generally requires a DPIA:

Criterion Example
Evaluation or scoring Credit scoring, behavioral profiling, health assessments
Automated decision-making Algorithmic decisions affecting service access
Systematic monitoring Tracking location, behavior, or activities
Sensitive data Health records, biometrics, financial data
Large scale Processing affecting many individuals
Matching or combining Combining datasets from different sources
Vulnerable subjects Processing children's data, employee data
Innovative technology New technologies with unknown privacy implications
Preventing rights exercise Processing that could block individuals from services

National DPA Requirements

Many national data protection authorities publish lists of processing activities that specifically require DPIAs in their jurisdiction. Organizations should check relevant DPA guidance for their operating locations.

When a DPIA Is Not Required

A DPIA is not required when:

  • Processing is unlikely to result in high risk to individuals
  • A very similar DPIA has already been conducted for similar processing
  • Processing has a legal basis in law that already required impact assessment
  • Processing is on national DPA "whitelist" (where available)

DPIA Process

Step 1: Describe the Processing

Document the proposed processing clearly:

Element Description
Nature What operations will be performed on personal data?
Scope What data, how much, how long, how many people affected?
Context Internal/external factors, relationship with data subjects
Purposes Why is this processing taking place? What will it achieve?

Step 2: Assess Necessity and Proportionality

Evaluate whether the processing is necessary and proportionate:

Question Consideration
Is there a lawful basis? Which legal basis applies? Is it appropriate?
Is processing necessary? Could the purpose be achieved with less data or less intrusive means?
Is data minimized? Is only necessary data being processed?
How long is data kept? Are retention periods appropriate and justified?
Is data accurate? Are there mechanisms to ensure accuracy?
Are individuals informed? Is the privacy policy adequate?
Can rights be exercised? Are processes in place for access, erasure, etc.?

Step 3: Identify and Assess Risks

Consider risks to individuals' rights and freedoms:

Risk Categories:

Risk Type Examples
Physical harm Safety risks from data exposure
Material harm Financial loss, identity theft
Non-material harm Distress, reputational damage, discrimination
Loss of control Individuals losing control over their data
Limitation of rights Being denied services, surveillance

Risk Assessment Matrix:

Likelihood/Severity Low Medium High
Low Low Risk Low Risk Medium Risk
Medium Low Risk Medium Risk High Risk
High Medium Risk High Risk High Risk

Step 4: Identify Measures to Mitigate Risk

For each risk identified, determine appropriate measures:

Measure Type Examples
Technical Encryption, access controls, pseudonymization, anonymization
Organizational Policies, training, audits, limited access
Legal Contracts, consent mechanisms, privacy notices
Process Data minimization, retention limits, accuracy checks

Step 5: Document and Review

Document the DPIA including:

  • Description of processing
  • Necessity and proportionality assessment
  • Risks identified and their assessment
  • Measures to address risks
  • Any residual risks and why they are acceptable
  • Sign-off from appropriate stakeholders

DPIA Template Structure

A typical DPIA document includes:

Section 1: Processing Overview

Field Content
Project name Name of the processing activity or project
Data controller Organization responsible
DPO consultation Confirmation that DPO was consulted
Purpose Why processing is being undertaken
Legal basis Which GDPR legal basis applies
Data subjects Categories of individuals affected
Data categories Types of personal data processed
Recipients Who will receive the data
Retention How long data will be kept
International transfers Any transfers outside EEA

Section 2: Necessity Assessment

Question Response
Is processing necessary for stated purpose?
Could purpose be achieved another way?
Is amount of data proportionate?
Are retention periods justified?
Are appropriate safeguards in place?

Section 3: Risk Assessment

Risk Likelihood Severity Overall Risk
[Describe risk 1] Low/Medium/High Low/Medium/High Low/Medium/High
[Describe risk 2]

Section 4: Risk Mitigation

Risk Mitigation Measure Residual Risk
[Risk 1] [Measure taken] [Remaining risk level]
[Risk 2]

Section 5: Sign-Off

Role Name Date Signature
Project Lead
DPO
Senior Management

When to Consult the Supervisory Authority

If residual risks remain high after mitigation measures (meaning you cannot sufficiently reduce the risk through reasonable measures), GDPR requires consultation with the supervisory authority before proceeding.

Prior consultation process:

  1. Submit DPIA to supervisory authority
  2. Include detailed information about processing and measures taken
  3. Authority has 8 weeks to respond (extendable by 6 weeks)
  4. Authority may provide advice, require changes, or prohibit processing

In practice, prior consultation is relatively rare. Most organizations can reduce risks to acceptable levels through appropriate measures.

Integrating DPIAs into Operations

When to Conduct DPIAs

Conduct DPIAs early (before processing begins) when:

Trigger Action
New product or feature DPIA during design phase
New vendor with data access DPIA before onboarding
Entering new market DPIA for new processing contexts
Technology change DPIA if processing changes significantly
Regulatory change Review existing DPIAs for continued validity

DPIA in Development Lifecycle

Integrating DPIAs into product development:

Phase 1: Planning

  • Identify if DPIA is required
  • Begin DPIA process alongside requirements gathering

Phase 2: Design

  • Complete DPIA during technical design
  • Incorporate mitigation measures into specifications

Phase 3: Development

  • Implement measures identified in DPIA
  • Update DPIA if design changes

Phase 4: Launch

  • Confirm all DPIA measures are implemented
  • Obtain sign-off before go-live

Phase 5: Ongoing

  • Review DPIA periodically
  • Update if processing changes materially

Common DPIA Scenarios

Scenario 1: Employee Monitoring

Element Consideration
Trigger Systematic monitoring, vulnerable subjects (employees)
Key risks Privacy intrusion, chilling effect, discrimination
Typical measures Clear policy, proportionate scope, transparency, limited retention

Scenario 2: AI/ML on Personal Data

Element Consideration
Trigger Automated decision-making, evaluation/scoring, innovative technology
Key risks Unfair decisions, lack of transparency, bias
Typical measures Human oversight, explainability, bias testing, accuracy monitoring

Scenario 3: Health Data Processing

Element Consideration
Trigger Special category data, potentially large scale
Key risks Discrimination, unauthorized access, psychological harm
Typical measures Strong encryption, strict access controls, pseudonymization, enhanced consent

Scenario 4: Customer Profiling

Element Consideration
Trigger Evaluation/scoring, potentially automated decisions
Key risks Unfair treatment, unexpected uses, loss of control
Typical measures Transparency, opt-out mechanisms, human review, limited profiling scope

Common Mistakes

Mistake Better Approach
Conducting DPIA after launch Begin DPIA during planning/design
Treating DPIA as checkbox exercise Engage genuinely with risks
Only considering data breach risk Consider full range of harms
Not involving DPO Consult DPO throughout
Not reviewing DPIAs Review when processing changes
Generic risk assessments Assess specific risks to your processing

How Bastion Helps

DPIAs require balancing legal requirements, technical considerations, and practical business needs. Working with experienced partners helps ensure DPIAs are thorough without becoming obstacles to legitimate processing.

Challenge How We Help
DPIA Triggers Guidance on when DPIAs are required for your processing activities
Risk Identification Support identifying relevant risks based on your specific context
Mitigation Measures Recommendations for practical, effective risk mitigation
Documentation Templates and support for creating comprehensive DPIA records
Process Integration Help embedding DPIA requirements into your development lifecycle
Review and Updates Periodic review of existing DPIAs as processing evolves

Getting DPIAs right helps organizations move forward confidently with new initiatives while demonstrating accountability, avoiding both the paralysis of over-caution and the risks of under-assessment.


Questions about when or how to conduct DPIAs? Talk to our team →


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