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DataOps Suite
The complete platform
Data Quality Monitor
Continuous quality monitoring
ETL Validator
ETL, ELT and migration testing
BI Validator
Dashboard and report testing
Test Data Manager
Compliant synthetic test data
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
Cloud platforms
Warehouses, lakes and CRM
BI and analytics
Dashboards and reports
ROI calculator
Estimate the time and cost youโ€™ll save.
Financial services
SOX, BCBS 239 and NAIC MAR
Healthcare
HIPAA, EHR migration and APCD
Life sciences
GxP and 21 CFR Part 11
Manufacturing
ERP migration and supplier data
Retail and utilities
Settlement, pricing and NERC CIP
Higher education
FERPA, IPEDS and research data

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
SI Partners
Consulting and implementation

Become a partner

Resell, implement or co-deliver

Technology Partners

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

Our technology partners

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

Home Industries Healthcare

Patient-Safety-Grade Data Assurance for
Healthcare

One platform validates every EHR and policy-system migration, monitors claims and clinical data continuously,
and generates HIPAA compliant synthetic data โ€” built for regulated, high-stakes environments.

The Challenges

Five Business Risks Every Healthcare Team Faces

What poor data validation costs healthcare in patient safety, compliance, and revenue.

EHR & Core System Migration Risk for healthcare services

EHR & Core System Migration Risk

What's the cost of a migration where patient records don't match after go-live?

EHR migrations Cerner to Epic, legacy to cloud and policy admin replatforming on Guidewire or Duck Creek are the highest-stakes technology programs in healthcare. Every unvalidated record migrated is a potential patient-safety incident, and vendor-provided testing rarely covers the full source-to-target evidence trail.

83%

of migration projects across industries overrun budget and timeline. Compliance in healthcare increases cost of failure

Claims Accuracy & APCD Compliance for Healthcare services

Claims Accuracy & APCD Compliance

What's the cost of an APCD submission that fails state validation โ€” or claims leakage nobody catches?

Every state brings its own rules, thresholds, and exceptions: 150+ validations per file. Audits arrive unannounced. And data quality failures quietly compound across every line of business.

$20M+

in annual claims leakage attributable to data quality failures

Clinical & Pharma Reporting Accuracy

What's the cost of a clinical or pharma dashboard stakeholders can't trust?

Dashboards that show what happened but never why are data theatre โ€” lots of charts, little impact. Validation eats 30โ€“60 minutes per report, errors reach decision-makers unchecked, and the last-mile problem isn't the dashboard. It's that no one trusts the numbers enough to act.

75%

of executives donโ€™t trust their data

Credit, Lending & Underwriting Decisions Icon

PHI / PII in Non-Production Environments

What's the cost of a PHI breach traced back to a test environment?

Production PHI and PII routinely end up in development, test, and AI/ML training environments. Every unmasked copy is a HIPAA violation waiting to be found โ€” and in healthcare, breaches carry both regulatory penalties and irreversible damage to patient trust.

68%

of healthcare organizations have PHI in at least one non-production environment

Provider-Directory & Adjudication Accuracy for healthcare services

Provider-Directory & Adjudication Accuracy

Need to add question need to add question

CMS provider-directory mandates carry real penalties for inaccurate listings. Adjudication errors that reach a paid claim, instead of being caught pre-payment compound revenue loss with compliance risk

$300M

in CMS fines issued for provider directory non-compliance since 2022

The Platform

How DataOps Suite Solves It

Each product maps directly to a healthcare data problem deployed independently or as a unified suite.

ETL Validator for Industry icon

ETL Validator

Solves: EHR & core system migration risk

Patient-safety-grade, 100% record-level validation across EHR migrations (Onprem to Cloud, Legacy system to Latest Tech). AI-generated test cases reduce manual mapping-document review time. Independent cutover assurance for EHR platform migrations(Epic, Cerner, Oracle Health) and core claims/enrollment system modernization.

EHR Migration
100% Coverage
PAS Migration
BI Validator for Industry Icon

BI Validator

Solves: Clinical reporting accuracy & provider-directory compliance

Visual regression and pixel-to-pixel comparison across clinical KPI dashboards, pharma field/HQ reports, and provider-directory listings. AI-generated diff summaries flag what changed between refreshes closing the last mile between insight and action before stakeholders, CMS, or auditors see the numbers.

Provider Directory
Dashboard Regression
CMS Compliance
Data Quality Monitor for Industry Icon

Data Quality Monitor

Solves: APCD compliance & claims data quality

Continuous six-dimension quality monitoring on claims data feeds. Row-level reconciliation against payer/provider source systems for APCD submission accuracy across 7 named statewide programs including 837/ 835 EDI claims-and-remittance reconciliation, the specific mechanism state Medicaid modernization programs are re-validating today.

APCD Reporting
Continuous Monitoring
Claims Quality
Test Data Manager for Industry icon

Test Data Manager

Solves: PHI/PII in non-production environments

HIPAA-aligned deterministic, reversible, and random masking generates realistic synthetic patient, member, and claims data without exposing real PHI. Purpose-built for AI/ML training, model development, and test automation on clinical and claims datasets.

AI/ML Training
HIPAA Masking
Synthetic Data
Full Platform DataOps Suite for Industry Call to Action Icon

See the Full Platform

Deploy any product standalone or connect all five with shared lineage, unified audit trails, and a single compliance dashboard.

Proven Outcomes

Impact Across Healthcare Teams

0

Post-Go-Live Data Defects

the target of record-level validation on every EHR migration

100%

APCD Submission Accuracy

row-level reconciliation before every state APCD filing deadline

7

Named APCD Programs

covered by continuous data quality monitoring across the platform

0

Real PHI in Test Labs

HIPAA-aligned masking removes the need for production data in dev environments

Use Cases

Healthcare Use Cases by Product

EHR Migration Validation

100% source-to-target reconciliation for EHR migrations. AI-generated test cases reduce manual mapping review time. Independent from Epic and Cerner validates the data moving through them.

PAS & M&A System Consolidation

Independent cutover assurance for Guidewire and Duck Creek migrations. Source-to-target reconciliation across merged health system environments post-consolidation with full audit trail.

Clinical & Pharma Dashboard Regression

Pixel-to-pixel visual regression testing for clinical KPI dashboards and pharma field/HQ reports. Automated checks across 7โ€“8 time-period slicers cut 30โ€“60 minutes of manual validation per cycle.

Provider Directory & Claims Dashboard Audit

Continuous monitoring keeps provider-directory listings accurate and flags adjudication and charge-capture anomalies before they reach a paid claim, CMS submission, or regulatory review.

APCD Submission Quality Assurance

Plug-and-play templates with state-specific rules automate 150+ validation checks per file. Covers 18 states with 35 healthcare data providers maintained as a stable pipeline for over 8 years.

Claims & Premium Data Quality Monitoring

Continuous six-dimension quality monitoring on claims data feeds. Row-level reconciliation against payer/provider source systems including 837/835 EDI claims-and-remittance reconciliation.

HIPAA-Safe Synthetic Patient Data

Deterministic, reversible masking generates realistic patient, member, and claims datasets for test automation and AI/ML model training without PHI exposure.

AI/ML Training Data for Clinical Models

Privacy-safe synthetic datasets for clinical risk scoring, readmission prediction, and claims triage model development without copying production PHI into development environments.

Unified Compliance Platform for Healthcare

Single audit trail covering HIPAA, APCD state mandates, and CMS directory requirements. One lineage graph from source system to regulatory submission.

AI-Generated Test Cases for Healthcare Pipelines

Auto-generate validation rules from HL7/FHIR specs, claims mapping documents, and EDI file layouts. Self-healing tests survive schema changes across system upgrades.

Proof Points

Customer Evidence in Healthcare

Scaling Power BI Testing Automation

Automated KPI card-to-trend-chart validation across 30+ production pipelines for multiple pharma clients. 70% time savings vs. manual validation, 80% reduction in turnaround time, with reusable template projects eliminating rebuild redundancy.

APCD Data Quality Across 18 States

Automated state-specific validation across 150+ rules per file for 35 healthcare data providers. APCD submissions live in 18 states with 7 pending โ€” maintained as a stable, production pipeline for over 8 years.

Automated Tableau Testing for Reliable Reports

Automated regression, performance, and security testing across six Tableau production environments serving 11,000 users. 45-55% faster upgrade testing, 25% reduction in functional testing time, and 20% overall TCO reduction.

Get Started Today

Experience Datagaps Live - Trust your Data With Confidence

Our team will run a live demo against your specific use case your stack, your data problem, your pipeline.

SOC 2 Type II certified | ISO 27001 certified | No credit card required for trial | Your data never leaves your environment

FAQs: Healthcare

 Common questions from Enterprise Buyers

How does Datagaps validate an EHR migration without putting patient data at risk?

ETL Validator validates 100% of migrated records against source without PHI ever leaving your environment, and where test environments need realistic data, Test Data Manager generates HIPAA-safe synthetic records instead. Both run inside your VPC or on-prem, aligned to the controls covered on our Compliance Solutions page.

Can Datagaps help with APCD (All-Payer Claims Database) submission accuracy?

Yes โ€” APCD Compliance Automation applies state-specific templates and 150+ validation rules to catch submission errors before a state agency does. A top 3 US health insurer used it to standardize multi-state APCD checks and remove manual per-cycle review โ€” see the case study.

Does Datagaps generate HIPAA-safe synthetic data for our test and development environments?

 
 

Can Datagaps help in EHR platform migrations and core claims/enrollment system modernization?

ETL Validator validates source-to-target completeness and transformation accuracy across EHR, claims, and enrollment migrations โ€” see the full approach on our Data Migration Testing Automation page. Request a demo to walk through your specific migration scope.

How does Datagaps keep provider-directory and claims dashboards accurate for CMS compliance?

BI Validator continuously checks provider-directory and claims dashboards against source data, catching stale or mismatched records before they reach a CMS-facing report. Data Quality Monitor adds ongoing profiling and anomaly detection to keep the underlying data current between refreshes.

Does Datagaps have experience with healthcare or life sciences customers specifically?

Yes โ€” from a top 3 US health insurer automating APCD submissions to a global pharmaceutical leader automating overnight Tableau regression testing across hundreds of dashboards. See these and more on our Case Studies page, or read how DataOps Suite drives ROI specifically in healthcare in this whitepaper.

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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

product_menu_icon01

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 โ€“ Accelerated by AI Agents.

Data Quality Monitor software

DQ Monitor

Proactive Data Quality with Agentic AI โ€“ 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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