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DataOps Suite
The complete platform
Platform Overview
See how it works

DataOps Suite

Data Quality and Agentic AI platform that validates, reconciles, scores, monitors and remediates data from ingestion to BI and AI.

Why one platform

Agentic AI-powered test and rule creation
Agents generate data quality rules, validation tests and SQL from prompts, with your approval.
Data quality score per dataset
Shows the current score, what changed since the last run and the failing records behind it.
Validation and observability inside the pipeline
Every load is compared with its source, transformations are tested against business logic, and freshness, volume and schema changes are monitored.
Reports that match the source
Dashboard figures are compared with the source data behind them before users see them.
Test data without real records
Synthetic data that mirrors production replaces sensitive records in test environments.
Quality gates for releases
Pipeline and report changes are tested before they go to production.

Data Quality Monitor

Continuously profiles, validates and scores enterprise data, with Agentic AI that recommends rules and flags anomalies, so analytics and AI run on trusted data.

Capabilities

AI-recommended DQ rules and scoring
Agents suggest completeness, validity and uniqueness rules, with scores down to the column.
Data profiling
Analyzes distributions, patterns and frequencies to surface outliers.
AI-based observability
Agents monitor pipelines end to end, detect anomalies and suggest fixes.
Data catalog
Organizes models and tables in one catalog, with AI-drafted descriptions.
Data lineage
Traces data from origin to destination through every transformation.
Data quality issue tracking
Assigns every failing record to an owner and tracks it to resolution.

ETL Validator

Automates ETL/ELT testing, with Agentic AI that builds tests from mapping docs, confirming every record arrives complete, accurate and correctly transformed.

Capabilities

AI-generated ETL tests
Turns mapping docs into checks for joins, transforms and edge cases.
Source-to-target validation
Matches loaded data to the source, down to record counts and required fields.
Transformation validation
Verifies business logic with SQL, Python or Scala.
Migration validation
Checks schema, row counts and integrity for cloud migrations.
Metadata change audit
Catches schema and metadata discrepancies before they break pipelines.
Root cause and adaptive tests
Pinpoints where data broke, and agents update tests when mappings change.

BI Validator

Automates testing and governance for Power BI, Tableau and Oracle Analytics, with Agentic AI that builds tests from plain English and keeps reports accurate and reliable.

Capabilities

AI-created BI tests
Describe a test scenario in plain English, and agents build it.
Visual-to-source comparison
Compares the data behind every visual to the source using auto-generated SQL.
Regression and upgrade checks
Pixel-level comparisons across environments, with AI summaries of what changed.
Measure logic checks
Converts BI measures and calculations to SQL to confirm KPI logic.
Performance and load testing
Simulates concurrent users and measures load and refresh times.
BI governance
Finds unused measures, duplicate reports and orphaned tables.

Test Data Manager

Uses Agentic AI to detect and mask sensitive data and generate synthetic data that mirrors production, so teams can test without exposing real records.

Capabilities

AI synthetic data generation
Learns patterns from a small sample to create production-like data.
PII discovery and masking
Detects PII and PHI and replaces it with realistic fake values.
Relationship-aware data
Keeps linked tables connected with referential integrity.
Millions of records in minutes
Scales for load, stress and performance testing.
Multi-format output
CSV, Parquet or JSON, or loaded straight into test databases.
Compliant by design
Cloud or on-prem, supporting GDPR and HIPAA requirements.
Data Quality Use Case
The problem to solve
ROI calculator
Estimate the time and cost youโ€™ll save.
Financial services
SOX, BCBS 239 and NAIC MAR

Banking, Financial Services, and Insurance (BFSI)

Stop reporting errors before examiners find them, with every number traced from core system to board dashboard.

How Datagaps helps

Core platform migrations
Cut over banking and insurance platforms, including mainframe to cloud, without losing a record.
Regulatory reporting
Hold submissions until the data meets quality thresholds.
Financial reconciliation
Match GL to subledger automatically, with every break flagged.
Risk and credit data
Catch drift before risk, lending and pricing models degrade.
Dashboard attestation
Prove capital and board dashboards match the warehouse.

Healthcare

Keep claims and clinical data accurate through every migration, without exposing patient records in testing.

How Datagaps helps

EHR migrations
Confirm every record survives the move to Epic, Cerner or Oracle Health.
Claims data quality
Catch errors in claims and remittance feeds as they arrive.
APCD submissions
Check every file against state templates before you submit.
Clinical dashboards
Catch KPI and report changes after every refresh.
Provider directories
Keep provider listings accurate, current and audit-ready.

Life Sciences

Catch issues in clinical and real-world data before submission, and keep trial subject data out of test environments.

How Datagaps helps

Clinical data migrations
Move EDC, CTMS and LIMS data to the cloud without losses.
CRM migrations
Keep rebate calculations right through Veeva and Salesforce moves.
Pharmacovigilance data
Catch adverse event data issues before regulatory submission.
Commercial and clinical dashboards
Trace every KPI back to source clinical and lab records.
De-identified trial data
Keep subject data out of test, analytics and AI environments.

Manufacturing

Avoid broken ERP cutovers and supplier overpayments, and catch sensor drift before it hits production.

How Datagaps helps

ERP migrations
Move BOM, inventory and financial data across Oracle, SAP and cloud without breaks.
Supplier reconciliation
Catch overpayments and duplicate invoices with three-way PO, ASN and invoice matching.
Sensor data quality
Catch drift before it skews predictive maintenance and yield models.
Operations dashboards
Catch report breaks after every release or upgrade.
Safe ERP test data
Keep supplier pricing and production volumes out of lower environments.

Retail and Utilities

Catch settlement, inventory and pricing errors before your customers or regulators do.

How Datagaps helps

Settlement reconciliation
Match marketplace payout files to the general ledger, record by record.
Inventory accuracy
Keep POS, ERP and warehouse numbers in sync.
Pricing and promotions
Catch price and promotion mismatches across channels.
Reliability dashboards
Keep SAIDI and SAIFI reliability reporting accurate.
BI under load
Make sure reports hold up for thousands of concurrent users.

Higher Education & Research

Get enrollment, financial-aid and transcript data right before SIS cutover, before students feel it.

How Datagaps helps

SIS migrations
Validate moves from Banner or PeopleSoft to Workday Student or Ellucian.
Financial-aid reconciliation
Match aid and Bursar data to the general ledger.
Enrollment reporting
Keep census and admissions dashboards consistent from cycle to cycle.
Federal reporting
Monitor data quality ahead of IPEDS submissions.
Safe student data
Test and train AI without exposing real student records.

Trusted Data Summit

A practitioner summit focused on the validation, observability, governance, and reconciliation practices that determine whether enterprise data is ready for AI.

Save Your Spot
Nov 19th, 2026
Technology Partners
Cloud, data and BI platforms

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Resell, implement or co-deliver

Technology Partners

Datagaps works natively with the cloud, data and BI platforms your teams already run.

Our technology partners

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SI Partners

Consulting and integration firms that deliver Datagaps validation for enterprise clients worldwide.

Our SI partners

Solutions

Use cases

Cloud platforms

BI and analytics

Trusted Data Summit

The Trusted Data Summit is an annual event that brings together industry experts and fellow data champions to explore the latest strategies, tools, and best practices in building and maintaining trust in your data.

The summitโ€™s theme is Empowering Your Data Ecosystem with Trustworthy Data.

Trusted Data Summit - 2025

3

Tracks

13

Speakers

1000+

Registrations

Trusted Data Summit - 2023

07

Tracks

11

Speakers

900+

Registrations

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Insights and inspiration from the 2025 Trusted Data Summit.

Watch on-demand recordings of all sessions and workshops.

Introduction to the summitโ€™s theme and key objectives.

Narendar Yalamanchilli - Founder and CEO of Datagaps Inc

Keynotes 2025 | Building Trust in Agentic AI through Data-centric Validationโ€‹

Dinesh Chandrasekhar - Chief Analyst, Stratola LLC, Stratola LLC Unites States

Agile Transformation using Agentic AI (Track 1 - ETL (Extract, Transform, Load))

Jatin Molri - Sr. VP of Sales, Testing Xperts

TDS SESSIONS - 2023

Insights and inspiration from the 2023 Trusted Data Summit.

Watch on-demand recordings of all sessions and workshops.

Trusted Data โ€“ Welcome to Virtual Summit

David Small โ€“ VP Sales and Marketing at Datagaps

Trusted Data โ€“ Keynotes | Role of Data in the Age of AI

Rajarajan Sampath โ€“ Principal at PwC

Data Quality in Higher Education - Ensuring Data Trustworthiness while Building Data Products

David Small โ€“ VP Sales and Marketing at Datagaps

Criticality of Controls in Data Management

Thadi Murali โ€“ Capital Markets Company, Managing Principal
Sagar Adhikary โ€“ Freddie Mac, Senior Manager

The Data Supply Chain: Reliable Data Delivery

Evan Levy โ€“ Integral Data LLC, Partner

Data Modernization - Automating Data Migration Testing to Cloud Data Warehouse

Naresh Kumar Nunna โ€“ Qualitest, Head of Data CoE

NYU Data Quality Strategy

Kasturi Sen โ€“ New York University(NYU), Data Governance Lead

Keynote - Data Integrity & The Human Element

Donald Farmer โ€“ TreeHive Strategy, Principal

Vote of Thanks - Closing

Narendar Yalamanchilli โ€“ Datagaps, Founder & CEO
SPEAKERS

Get to know the renowned experts who shared their knowledge and experiences at the 2025 Trusted Data Summit.

Narendar Yalamanchilli
Narendar Yalamanchilli

Founder and CEO of Datagaps Inc

Dinesh Chandrasekhar
Dinesh Chandrasekhar

Chief Analyst, Stratola LLC, Stratola LLC Unites States

Jatin Molri
Jatin Molri

Sr. VP of Sales, Testing Xperts

Abhishek Wagle
Abhishek Wagle

Assistant Vice President, CitiusTech Scotland, United Kingdom

Thadi Murali
Thadi Murali

Senior Advisor in AI, Data and Risk Management, Vanbrillc India

Pradeep Donepudi
Pradeep Donepudi

Test Data Architect, Qualitest United States

Biswadeep Ghosh
Biswadeep Ghosh

Principal/Partner, ZS Associate pune, Maharshtra

Raju B. Rajuladevi
Raju B. Rajuladevi

Former Head of Data Analytics & AI, Straive India

Sreelatha Nair
Sreelatha Nair

Project Lead - New York University United States

Kasturi Sen
Kasturi Sen

Senior Data Warehouse Architect/Data Governance, New York University United States

Sowjanya Bobbadi
Sowjanya Bobbadi

Director, Business Analytics, iLink Systems India

Anand Rao
Anand Rao

VP - Marketing at Datagaps Inc.

SPEAKERS

Get to know the renowned experts who shared their knowledge and experiences at the 2023 Trusted Data Summit.

David Small Global VP of Sales at Datagaps Inc.
David Small

Datagaps, Global VP of Sales

Rajarajan Sampath โ€“ Principal at PwC
Rajarajan Sampath

PwC, Principal

 
 

 

 

Forrest Swope - University of Virginia, Director, Data Operations
Forrest Swope

University of Virginia, Director, Data Operations

Mohan Vijay Adusumilli University of Virginia, Quality Assurance & Testing Lead
Mohan Vijay Adusumilli

University of Virginia, Quality Assurance & Testing Lead

Thadi Murali Capital Markets Company, Managing Principal
Thadi Murali

Capital Markets Company,
Managing Principal

Sagar Adhikary Freddie Mac, Senior Manager
Sagar Adhikary

Freddie Mac, Senior Manager

 
 

 

 

Evan Levy Integral Data LLC, Partner
Evan Levy

Integral Data LLC, Partner

Naresh Kumar Nunna Qualitest, Head of Data CoE
Naresh Kumar Nunna

Qualitest, Head of Data CoE

Kasturi Sen NYU, Data Governance Lead
Kasturi Sen

NYU, Data Governance Lead

Donald Farmer
Donald Farmer

TreeHive Strategy, Principal

Narendar-Yalamanchilli - Datagaps India CEO
Narendar Yalamanchilli

Datagaps, Founder and CEO

 
 

 

 

BLOG UPDATES

Dive deeper into the world of trusted data.

Read blog posts on various aspects of data trust, from data governance to data quality.

What Our Attendees Say

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NEXT SCHEDULE IN NOV 2026

Trusted Data Summit will be held in Nov 2026

Save the date and join us for a day of profound insights about data with industry experts and fellow data champions.

 
 

 

 

FAQโ€™s

Why Trusted Data Matters?
In todayโ€™s data-driven world, trust is paramount. Your dataโ€™s integrity, quality, and security can significantly impact your organizationโ€™s success. Thatโ€™s why the Trusted Data Summit is here to explore the latest strategies, tools, and best practices in building and maintaining trust in your data.

Join us at the Trusted Data Summit for deep insights, hands-on workshops, and networking opportunities with industry experts and fellow data champions. Hereโ€™s what you can look forward to:

  • Expert Insights: Learn from renowned experts who will share their knowledge and experiences in establishing data trust.
  • Interactive Workshops: Listen to gain experience with cutting-edge data trust technologies and methodologies.
  • Networking Connections: Connect with peers, thought leaders, and potential collaborators who share your passion for trusted data.
  • Real-World Case Studies: Explore how organizations across various sectors leverage trusted data to drive innovation and growth.
  • Q&A Sessions: Get answers to your burning questions about building and maintaining trust in your data.
  • Innovative Solutions: Discover the latest advancements in data trust solutions and software.

The Trusted Data Summit welcomes professionals from diverse backgrounds and roles, including: โ€“ Data Stewards โ€“ Chief Data Officers โ€“ Data Governance Specialists โ€“ Data Quality Analysts โ€“ Compliance Officers โ€“ Data Engineers โ€“ Business Intelligence Professionals โ€“ Anyone committed to ensuring data trustworthiness.

By participating in the Trusted Data Summit, you will:
  • Elevate your knowledge and skills in data trust.
  • Gain insights into industry best practices and emerging trends.
  • Listen to peers and industry leaders who share your dedication to data trust.
  • Learn how to drive organizational success through trusted data practices.
  • Stay informed about cutting-edge data trust technologies and tools.
Donโ€™t miss this opportunity to deepen your understanding of data trust. Register now and join us at the Trusted Data Summit for a day of learning, networking, and inspiration.
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