Trusted Data Summit 2025

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.

Trusted Data Summit 2025 is a technology podcast hosted by Datagaps, with 12 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

Datagaps hosts Trusted Data Summit 2025, a technology show with 12 episodes published.

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

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  Episode #12

  Closing Note by Anand Rao | Trusted Data Summit 2025

  Nov 20, 202512 minS1

  <p>That’s a wrap on Trusted Data Summit 2025!Anand Rao (VP of Products & Marketing, Datagaps) closes the summit with a powerful recap of the day’s biggest ideas and a clear call to action: move from reactive data fixes → proactive, agentic trust at enterprise scale.Theme of TDS 2025: Proactive Trusted Scale - Test, predict, and prevent with Agentic AI.Day highlights:</p><p>🔹 Naren’s opening vision + Gartner insights on agent adoption & trust gaps</p><p>🔹 Dinesh Chandrasekhar’s keynote: Building trust in Agentic AI through data-centric validation</p><p>🔹 13 world-class speakers across 3 tracks (ETL, BI Validation, Data Quality & Observability)</p><...

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  Episode #11

  From Data Validation to Data Observability: The Next Leap in Enterprise Trust

  Nov 20, 202521 minS1

  <p>Traditional data validation is dead.Harsh Rajgoite (10+ years in data engineering) shows why modern enterprises are replacing reactive testing with full-spectrum Data Observability built on the 5 pillars: Freshness, Volume, Schema, Lineage, and Quality.This session is your complete playbook for eliminating data downtime and building unbreakable trust at scale.What you’ll learn:🔹 Why 80%+ of data issues go undetected with traditional validation</p><p>🔹 The 5 Pillars of Observability explained with real enterprise examples</p><p>🔹 Freshness & Volume: Catch pipeline breaks before they hit dashboards</p><p>🔹 Schema & Lineage: Prevent silent data drift and trace root cause in seconds</p><p>🔹 Quality: M...

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  Episode #10

  The Hidden Cost of Bad Data: Why BI Automation is a Business Imperative

  Nov 20, 202526 minS1

  <p>Bad data isn’t just an IT problem – it’s a multi-million-dollar business killer hiding in plain sight.Sowjanya Bobbadi (Director of Business Analytics & Client Partner at iLink Digital) reveals the shocking real-world costs of manual BI validation and why full BI automation has become non-negotiable in 2025.Backed by live customer examples and before/after screenshots, this session exposes:🔹 The true financial impact of bad data (lost revenue, regulatory fines, eroded trust)</p><p>🔹 How manual screenshot-based validation silently destroys productivity and accuracy</p><p>🔹 Real client story: From 3-week manual regression cycles → fully automated in days</p><p>🔹 Pixel-perfect visual...

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  Episode #9

  Ensuring Data Accuracy During ETL Upgrades & Migrations​ | Navigating NYU Data Quality Landscape

  Nov 20, 202541 minS1

  <p>NYU's 6-Year Data Quality Journey with Datagaps - Trusted Data Summit 2025How does one of the world’s largest private universities (NYU) maintain data trust across 1000s of complex ETL pipelines serving students, faculty, research, finance, and administration?</p><p>Sreelatha Nayar (Senior Database Engineer & Project Lead) and Kasturi Sen (Data Architecture & Integration Services) share NYU’s real 6-year transformation story using the full Datagaps DataOps suite.From legacy on-prem Informatica → modern Snowflake cloud migrations, NYU achieved:</p><p>🔹 100% automated regression testing across hybrid environments🔹 Zero-downtime migrations with full data reconciliation🔹 Intelligent anomaly detection & self-healing validations🔹 Drastic reduction in manual effort and...

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  Trusted Data Summit 2025

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

  Nov 20, 202534 minS0

  <p>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.</p><p>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:</p><p>🔹 Why traditional “test at the end” fails in 2025 data ecosystems</p><p>🔹 The unified Data Reliability by Design framework (ETL + BI + Observability in one architecture)</p><p>🔹 Core principles & p...

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