Case Study · AI & Automation

Organizing data protection Identifying personal data and connecting privacy processes

Partner project by Innowise

Project profile

CustomerNot named
PartnerInnowise
IndustryTechnology / software

Challenge

A growing technology company with users in Europe had to account for increasing volumes of data in its privacy processes. Data mapping, consent management and the handling of data protection incidents caused considerable manual effort.

Solution

Finding and classifying data

Innowise developed a modular platform for data protection workflows. Natural language processing supports the discovery and classification of personal data. The solution integrates existing CRM systems.

Bringing the workflows together

The platform supports processes from data discovery through to handling data subject requests. Tools for data protection impact assessments are available in addition. The automation supports the responsible teams; it does not replace a professional or legal assessment.

From data discovery to the privacy workflows

Data sources & CRM: Existing systems → NLP classification: Identify personal data; NLP classification: Identify personal data → Data overview: Mapping; Data overview: Mapping → Data subject requests: Handle; Data overview: Mapping → DPIA tools: Support assessment.

Technologies

Python / spaCy
Google Cloud / BigQuery / Dataflow
PostgreSQL / React / Docker

Results

As a result, the source describes a modular automation of the privacy processes. Quantitative improvements and an independent confirmation of full GDPR compliance are not documented and are not claimed.

NLP-supported data classification
Integration of existing CRM systems
Workflows for data subject requests and DPIAs