Trusted Data Summit 2025

Datagaps

Trusted Data Summit - Powered by Datagaps, founded in 2010, specializes in data testing automation solutions that build trust in enterprise data and analytics. Our offerings include tools for Data Validation, ETL Testing Automation, Data Reconciliation, Data Quality Testing, BI Test Automation, and Test Data Generation. We cater to various data warehousing projects and BI platforms, like Snowflake, Databricks, Amazon Redshift, Oracle Analytics, Tableau, and Microsoft Power BI. Our products and solutions aim to achieve 100% Data Quality and Data Testing Automation.

Episodes

  1. 20/11/2025

    Data Reliability by Design - Vendor‑neutral QA/QC for ETL, BI, and Observability​​

    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

    34 min
  2. 20/11/2025

    ZS Associates journey with Datagaps

    How We Automated Power BI Testing at Scale - Trusted Data Summit 2025Real customer story from ZS Associates (global healthcare consulting leader) on how they went from painful manual Power BI validation → fully automated, enterprise-scale testing with Datagaps BI Validator in just one year.Biswadeep Ghosh (Principal, ZS Pune) openly shares the complete journey – the problem, discovery, POC, rollout, challenges, results, and why Datagaps is now core to their digital & data operations excellence practice.Key highlights you’ll hear straight from ZS: 🔹 Manual Power BI report validation was slow, error-prone and unscalable🔹 Discovered Datagaps via Google + ChatGPT → requested demo → 2-month POC🔹 Close collaboration with Datagaps team: training, cloud setup, architecture alignment🔹 Scaled rapidly across multiple healthcare client engagements🔹 Achieved 10-15% overall productivity gain + dramatically improved quality & consistency🔹 Anomaly detection & trend analysis features took quality “one step ahead”🔹 Faster turnaround, higher innovation, delighted clients🔹 “Datagaps truly helps us look good in front of our clients” If you’re struggling with manual BI testing or wondering how to operationalise automation at enterprise scale – this 10-minute case study is pure gold. Full Trusted Data Summit 2025 playlist – Watch Videos Ready to eliminate production data from your lower environments forever? Request a free demo | Contact: contact@datagaps.com

    10 min
  3. 20/11/2025

    Synthetic & Masked Test Data for Compliance

    Non-production environments are now the #1 compliance blind spot – and regulators are hitting companies with $80M+ fines for breaches originating in dev/test systems. Pradeep Dhonipuri | Datagaps reveals the exact strategies global enterprises are using to eliminate real customer data from lower environments while staying fully compliant and accelerating innovation. This session is pure gold if you’re still copying production data into dev/test/QA. What yoWhat you’ll learn: 🔹 Why traditional masking is no longer enough (and when synthetic data is mandatory) 🔹 Real $80M breach example from a major financial institution 🔹 How GDPR, CCPA, HIPAA now apply equally to non-prod – no exceptions 🔹 Masking vs Synthetic: When to use which (with decision framework) 🔹 AI-powered synthetic data generation that preserves referential integrity & statistical realism 🔹 Live customer stories: Moving from 100% masking → “synthetic-first” strategy 🔹 Testing tomorrow’s threats today: AML, fraud patterns, adversarial AI resilience 🔹 How synthetic data lets you inject bad/biased data to stress-test AI models safely Walk away with a complete roadmap to make your test data 100% compliant, realistic, and future-proof.u’ll learn:🔹 Why traditional masking is no longer enough (and when synthetic data is mandatory)🔹 Real $80M breach example from a major financial institution🔹 How GDPR, CCPA, HIPAA now apply equally to non-prod – no exceptions🔹 Masking vs Synthetic: When to use which (with decision framework)🔹 AI-powered synthetic data generation that preserves referential integrity & statistical realism🔹 Live customer stories: Moving from 100% masking → “synthetic-first” strategy🔹 Testing tomorrow’s threats today: AML, fraud patterns, adversarial AI resilience🔹 How synthetic data lets you inject bad/biased data to stress-test AI models safelyWalk away with a complete roadmap to make your test data 100% compliant, realistic, and future-proof. Ready to eliminate production data from your lower environments forever? Request a free demo → https://www.datagaps.com/request-a-demo/ Contact: contact@datagaps.com

    43 min
  4. 20/11/2025

    Keynote | Building Trust in Agentic AI through Data-centric Validation

    The highly anticipated keynote from Trusted Data Summit 2025 is here! Dinesh Chandrasekhar, Chief Analyst at Stratola LLC (USA), delivers a no-nonsense, actionable talk on why trust remains the #1 blocker for enterprise Agentic AI adoption in 2025 – and exactly how to fix it with data-centric validation and observability. Despite all the hype declaring “2025 = Year of Agents”, real adoption sits at only ~15%. The reason? A massive trust crisis caused by invisible data access, unverifiable logic, and zero accountability when agents go wrong. Key insights you’ll get: 🔹 Why hallucinations are NOT the real problem – data observability gaps are 🔹 The 4-stage Agent Data Lifecycle where trust breaks today 🔹 The Observable Agent Stack: a practical 4-layer architecture you can implement now 🔹 How to extend your existing ETL validation, data quality, and reconciliation tools to govern agents 🔹 Real-time validation gates, feedback loops, behavioral drift monitoring, and DevOps for agents 🔹 Why “If you can’t observe how your agents handle data, you can’t trust what they tell your business”This is the roadmap enterprises need to move Agentic AI from demo to production with confidence. 🔔 Subscribe and hit the bell – full Trusted Data Summit 2025 playlist dropping daily!Want to see the exact tools that make this possible? Request a free demo Contact: contact@datagaps.com Check Out Full Videos - Trusted Data Summit 2025 #AgenticAI #DataTrust #AIAgents #DataObservability #GenAI #LLMTesting #DataValidation #EnterpriseAI #AIin2025 #DataGovernance #ObservableAgents #Stratola #TrustedDataSummit #TrustedDataSummit2025

    30 min

About

Trusted Data Summit - Powered by Datagaps, founded in 2010, specializes in data testing automation solutions that build trust in enterprise data and analytics. Our offerings include tools for Data Validation, ETL Testing Automation, Data Reconciliation, Data Quality Testing, BI Test Automation, and Test Data Generation. We cater to various data warehousing projects and BI platforms, like Snowflake, Databricks, Amazon Redshift, Oracle Analytics, Tableau, and Microsoft Power BI. Our products and solutions aim to achieve 100% Data Quality and Data Testing Automation.