How will you deal with GDPR  moving forward?

In today’s data-driven landscape, analytics play an integral role in helping organizations make informed decisions. But with the introduction of the General Data Protection Regulation (GDPR) in Europe, it’s imperative that European organizations prioritize GDPR compliance in their analytics practices. In this blog post, we’ll explore the significance of GDPR compliance for European organizations and provide you with five actionable steps to ensure that your analytics processes meet GDPR standards.

Step 1: Understand the Basics of GDPR

Before diving into the specifics of GDPR compliance in analytics, it’s essential to have a solid grasp of the regulation’s fundamental principles. GDPR, enacted in May 2018, is designed to safeguard the privacy and data protection rights of European Union (EU) citizens. Key points to understand include:

Personal Data: GDPR defines personal data broadly, encompassing any information that can be used to directly or indirectly identify an individual. This includes names, email addresses, location data, and even IP addresses.

Data Subject Rights: GDPR empowers data subjects with rights such as the right to access, rectify, and erase their personal data, as well as the right to data portability.

Consent: Organizations must obtain clear and explicit consent from individuals before collecting and processing their personal data.

Data Protection Impact Assessments (DPIAs): Organizations are required to conduct DPIAs to identify and mitigate data protection risks in high-risk data processing activities.

Step 2: Data Mapping and Inventory

Understanding the data you collect and process is fundamental to GDPR compliance. Start by creating a comprehensive data map and inventory that encompasses:

– The sources of data: Where does your data come from? This could be from customer registrations, website forms, or even third-party data providers.

– Data storage: How and where is the data stored within your organization? Is it on-premises or in the cloud?

– Data processing: What tools or software are used to process the data, and who has access to it?

Having a clear picture of your data flow is vital in identifying potential compliance gaps.

Step 3: Data Minimization

To meet GDPR’s requirements for data minimization, it’s essential to collect only the data that is strictly necessary for your analytics. This not only reduces your compliance risk but also aligns with the principle of respecting individuals’ privacy. Evaluate your data collection practices and streamline them to capture only what’s essential for your analytics.

Step 4: Consent and Transparency

Transparency is key when it comes to GDPR compliance. To ensure compliance, consider the following actions:

– Obtain clear and informed consent from individuals before collecting their data. Ensure that consent requests are easily understandable, and individuals have the option to withdraw their consent at any time.

– Communicate clearly about how their data will be used. This could include creating privacy policies or notices that explain the purpose of data collection, processing, and any third-party sharing.

Step 5: Data Protection Impact Assessments (DPIAs)

DPIAs are essential to identify and mitigate potential data protection risks in your analytics processes. To conduct a DPIA:

– Identify high-risk data processing activities within your analytics.

– Assess the necessity and proportionality of data processing in these activities.

– Evaluate the potential impact on data subjects and the measures in place to mitigate these risks.

– Review and reassess the DPIA regularly, especially when there are significant changes in your analytics practices.


GDPR compliance in your analytics is not just about adhering to regulatory requirements; it’s about respecting individuals’ privacy and data protection rights. For European organizations, non-compliance with GDPR can result in substantial fines, damage to reputation, and a loss of trust.

By following these five steps, you can improve your organization’s compliance and ensure that your analytics practices meet GDPR standards. This not only reduces your legal and reputational risks but also builds trust with your customers, partners, and stakeholders. In the data-driven world we live in, GDPR compliance is not just a requirement; it’s a commitment to ethical and responsible data handling.