

Driving Data Security in Unstructured and Structured Data for Customer Analytics - with Jiaxi Zhu of Google
Jun 3, 2025
Jiaxi Zhu, Head of Analytics & Insights at Google, dives into the critical world of data security in customer analytics. He discusses how companies can bolster data governance amidst the rise of unstructured data from sources like social media and call transcripts. Jiaxi emphasizes the need for modern data dictionaries and metadata management to ensure compliance and trace data lineage. He also highlights the unique challenges posed by regulations and the risks of personal information leaks, advocating for a zero-trust approach in data governance.
AI Snips
Chapters
Transcript
Episode notes
Data Dictionary for Governance
- Companies struggle with inconsistent data formats and unclear data definitions across systems.
- A comprehensive data dictionary and catalog help understand, protect, and leverage data assets effectively.
Challenge of Unstructured Data
- Unstructured data like call transcripts and social media posts enable deeper, real-time customer insights.
- But their lack of structure makes documenting and analyzing them much more complex.
Tailor Data Documentation Use
- Align unstructured data documentation and storage with its intended use case for optimum insights.
- Different use cases require either tying data to specific customers or analyzing aggregate patterns carefully.