Datagaps is the only company to be listed in Gartner® DataOps Tools & Data Observability market guides

Datagaps at CDAO Financial Services & CDAO Insurance.

Testing Time
Saved by

55%

Improved Functional
Testing Time by

25%

Saved QA
Cost by

30%

Overall Improvement
of TCO by

20%

Ensuring trusted, compliant, and AI-ready data for financial services and insurance leaders.

📌 Booth: #24.

📅 Dates: February 18–19, 2026.

🏛️ Venue: 237 Park Avenue, 1st Floor, New York, NY 10017.

CDAO Datagaps

Chance to Win AirPods

Fill the form and meet Datagaps at CDAO Financial Services & Insurance 2026.

Meet Datagaps at CDAO Financial Services & Insurance 2026

Datagaps is proud to be a sponsor of CDAO Financial Services, co-located with CDAO Insurance—Corinium’s flagship event bringing together senior data, analytics, and AI leaders from across financial services and insurance for two days of insight-rich learning and high-impact networking.

At CDAO Financial Services & Insurance, Datagaps aligns closely with the event’s core themes, including:

Data Governance & Compliance

– Ensuring data accuracy for regulatory and audit readiness

AI at Scale

– Validating data feeding fraud detection, underwriting, and predictive models

Risk Management

– Preventing data issues that impact financial and actuarial decisions

Trust in Analytics

– Creating confidence in dashboards, KPIs, and executive reporting

Jamie Armstrong - Senior Vice President of Sales, US East and EMEA - Datagaps Inc
Jamie Armstrong

Senior Vice President of Sales at Datagaps

Meet Us at the Event

Join us in New York on February 18–19, 2026, and learn how Datagaps helps financial services and insurance organizations turn analytics into outcomes—without compromising data integrity.

📌 Booth: 24.

📍 Location: New York City.

📅 Dates: February 18–19, 2026.

🏛️ Venue: Convene, 237 Park Avenue, 1st Floor, New York, NY 10017.

Schedule time with Datagaps to learn how proactive data validation helps you move faster—without compromising trust.

Let’s Talk Data Trust

Stop by the Datagaps booth or schedule time with our team to see how proactive data validation can help your organization move faster with confidence.

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Data Quality Monitor

Continuously assess, score, and improve your enterprise data quality using rule-based and AI-powered validation
Automated Data Quality Checks at Scale

Validate uniqueness, completeness, domain accuracy, and detect orphan records.

AI-Driven Anomaly Detection and Alerts

Identify data drift and outliers using ML-based statistical methods and IQR-based profiling.

Low-Code Rule Configuration with Data Rule Wizard

Create and deploy validation rules quickly without coding, even across large datasets.

Graphical Scoring and Monitoring Dashboard

Visualize data quality trends across models, tables, and records with actionable insights.

CI/CD and Cloud Integration Ready

Enable continuous validation across pipelines using integrated APIs and DevOps compatibility.

Test Data Manager

Generate high-quality synthetic test data securely while maintaining regulatory compliance with HIPAA, GDPR, and CCPA
AI-Powered Synthetic Test Data Generation

Automatically create realistic data based on patterns in production while masking PII/PHI.

Reduced Cost and Time for Test Data Preparation

Eliminate manual rule-writing and speed up test readiness for complex use cases.

Support for Diverse Data Formats and Models

Generate millions of records in JSON, XML, CSV, relational, or hierarchical formats.

Secure, Policy-Driven Data Masking

Ensure sensitive fields are protected using deterministic, reversible, or random masking.

Flexible Deployment Across Cloud or On-Prem

Deploy within your secure environment and integrate into automated pipelines seamlessly.

ETL Testing

Maximize the efficiency, quality, and reliability of your data pipelines through intelligent automation, validation, and scalability.
100% Data Validation Across Pipelines

Validate billions of records using Spark-powered parallel execution across on-prem and cloud sources.

Accelerated Migration and QA Cycles

Reduce migration testing time by up to 60% and QA costs by 30% with automated workflows.

Automated Metadata and Transformation Testing

Detect schema mismatches and ensure business rules are correctly applied via AI-assisted validation.

Seamless Collaboration and Governance

Enable role-based access, ALM integration, and shareable web reports to unify cross-team efforts.

Low-Code/No-Code Test Creation with AI

Empower both technical and business users to build, schedule, and execute validations using prompt-based automation.

BI Validator

Ensure accuracy, performance, and security of your Business Intelligence dashboards and reports across platforms like Tableau, Power BI, and Oracle Analytics
Automated Regression Testing Across BI Reports

Detect broken visuals or logic changes post-upgrade and data refreshes.

Cross-Platform Validation of Reports and Dashboards

Compare visuals and data across environments and BI tools with zero manual effort.

Performance and Load Testing for BI Assets

Simulate concurrent user access to measure response times and report load failures.

Access and Security Validation

Ensure only authorized groups have access to the correct records and reports.

Aesthetic and Metadata Change Detection

Identify formatting inconsistencies, filter changes, and layout drift with each release.

Products

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DataOps Suite

Intelligent Data Validation and Analytics Testing Platform with Agentic AI.

ETL Validator automated ETL testing tool

ETL Validator

Automated Data Validation and ETL Testing with Agentic AI.

BI Validator automated BI testing tool

BI Validator

Smarter BI Validation For Power BI, Tableau, Oracle Analytics – Accelerated by AI Agents.

Data Quality Monitor software

DQ Monitor

Proactive Data Quality with Agentic AI – Predict, Prevent, Govern.

Test Data Manager software

Test Data Manager

Generate compliant and realistic test data for all your testing needs, enabled by Agentic AI.

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