이 에피소드에 관해
Raju B. Rajuladevi, (VP & Head of Technical Delivery – Data Analytics & AI at Stravi) presents a powerful, completely vendor-neutral framework that embeds QA and QC across the entire modern data lifecycle – from source to dashboard to continuous monitoring.
This is the same battle-tested architecture used in Tier-1 BFSI, utilities, healthcare, and manufacturing environments to achieve proactive, measurable data trust at enterprise scale.What you’ll get in this session:
🔹 Why traditional “test at the end” fails in 2025 data ecosystems
🔹 The unified Data Reliability by Design framework (ETL + BI + Observability in one architecture)
🔹 Core principles & practices that work with ANY tool/stack (Snowflake, Databricks, Power BI, Tableau, dbt, Great Expectations – you name it)
🔹 Shift-left quality: Automated validation from extraction → transformation → visualisation
🔹 Real-world BFSI examples: BCBS 239 compliance, capital adequacy ratios, LCR, NSFR
🔹 How to move from reactive firefighting → proactive, automated reliability
🔹 Practical artefacts, KPIs, and governance models you can implement tomorrow
If you’re a CDO, Head of Data Engineering, or Data Governance leader – this is your blueprint for building unbreakable trust in data.
Ready to eliminate production data from your lower environments forever? Request a free demoContact: contact@datagaps.com
