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Compliance Solutions

Simplifying Regulatory Compliance for SOX, APCD, and NAIC MAR

Compliance Solutions for SOX, APCD, and NAIC MAR

Why Choose DataOps for Simplified Regulatory Compliance

The DataOps platform transforms compliance from a periodic audit cost into an automated, continuous operational capability.

Guaranteed Auditability via Automated Evidence

Capture and maintain tamper-proof, time-stamped logs of all data movement and control executions.

Shift from Periodic to Continuous Compliance

Monitor data integrity in real-time, proactively detecting anomalies before they cause regulatory breach.

Complete Traceability and Reproducibility

Link every output back to source data and ensure reported figures are accurate, verifiable, and reproducible upon demand.

Key Features

Key Features of DataOps Platform for Compliance

Compliance Evidence & Audit Readiness for Compliance Solutions

Compliance Evidence & Audit Readiness

Enterprise Collaboration

Central repository of test results, scheduled runs, email/web reporting.

DB Metadata Testing

Audits schema changes (types, lengths, indexes) across environments.

Enables Continuous Integration for BI (Jenkins/GitLab, CLI/REST)

Pipeline triggered runs produce consistent, machine generated logs and artifacts that strengthen audit trails.

Scheduling & Email Notifications

Scheduled test plans systematically log executions and notify stakeholders, reinforcing an auditable history.

Continuous Data Integrity Assurance

Flat File Testing (with file watcher)

Auto detects new incoming files and kicks off tests immediately → event driven, continuous control.

Performance testing of BI dashboards

Supports periodic production monitoring and captures performance metrics on every run, moving checks from ad hoc to continuous.

Stress testing of BI dashboards

Simulates concurrent user load and stores run histories/statistics, enabling proactive detection of performance risks before breaches occur.

Scheduling & Email Notifications

Schedules keep validations running at defined intervals, sustaining continuous compliance posture.

Continuous Data Integrity Assurance for Compliance Solutions
End-to-End Data Lineage & Validation for Compliance Solutions

End-to-End Data Lineage & Validation

End to End Data Testing

Source↔target comparisons across heterogeneous platforms → link every reported output back to origin.

Baselining Capabilities

Baselines for incremental ETL/SCDs/regression → reproduce prior results and detect deviations reliably.

Identify differences between Report & SQL output

Ties report “actuals” directly to source of truth SQL “expected,” providing a defensible linkage from output back to source data.

Compare different environments (Dev/UAT/Prod)

Runs the same tests across environments to confirm results are reproducible and consistent.

Data Reconciliation

Matches data across systems to confirm consistency and trace outputs back to original sources.

Case Studies / Whitepaper

Our clients receive great value from our data validation solutions

Ensuring Trustworthy Financial Insights for a Global Ticketing Leader

Trustworthy Financial Insights for
a Global Ticketing Leader

APCD Compliance

Compliance Is a Data Problem First: How Datagaps Enables Continuous Assurance

Powering a Midwest Insurer’s Financial Reconciliation

Powering a Midwest Insurer’s Financial Reconciliation

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Experience how Datagaps automates SOX, APCD, and NAIC MAR compliance — reducing manual effort and ensuring continuous audit readiness.

FAQ's about SOX, APCD & NAIC MAR Compliance

What is SOX?

SOX stands for the Sarbanes-Oxley Act, a U.S. federal law that mandates strict internal controls over financial reporting. It requires organizations to ensure the accuracy, integrity, and auditability of financial data to prevent fraud and misstatements. Compliance involves maintaining traceable data flows, automated evidence, and reproducible results.

What is APCD?
APCD refers to All-Payer Claims Database, a state-level initiative under the No Surprises Act. It collects healthcare data such as medical claims, pharmacy claims, provider details, and eligibility records. Compliance requires accurate, complete submissions validated against hundreds of state-specific rules and thresholds, often audited for financial accuracy and data integrity.
What is NAIC MAR?
NAIC MAR stands for the National Association of Insurance Commissioners Model Audit Rule. It applies to insurance companies and focuses on internal controls over financial reporting similar to SOX but tailored for the insurance industry. Compliance demands transaction-level traceability, reconciliation across systems, and audit-ready documentation.
What is “Shift Left” in Compliance?

Shift Left” means moving compliance checks earlier in the data lifecycle—into ingestion and transformation stages—rather than waiting until BI dashboards or reports. This approach catches issues sooner, reduces rework, and ensures compliance controls are enforced continuously.

What is Audit Evidence Management?
Audit evidence management refers to capturing and maintaining tamper-proof, time-stamped logs of all data movements and control executions. It includes versioned test repositories, scheduled runs, and machine-generated artifacts that auditors can verify without manual intervention.
What is Data Lineage and why is it important?
Data lineage tracks the journey of data from its source to its final report. For compliance, it provides a defensible link between reported figures and source-of-truth data, ensuring outputs are verifiable and reproducible across environments.
What is Data Reconciliation?
Data reconciliation ensures consistency between different systems or layers (e.g., source vs. target, SQL vs. BI report). It confirms that reported numbers match original data, which is critical for financial and regulatory compliance.
What is Baselining in Compliance Testing?
Baselining involves creating reference points for ETL processes or regression tests. It helps detect deviations from expected results and ensures reproducibility across environments like Dev, UAT, and Prod.
What is Continuous Compliance Monitoring?
Continuous monitoring uses automated tests and alerts to validate data integrity in real time. It replaces ad-hoc checks with scheduled validations, anomaly detection, and proactive notifications to prevent compliance breaches.

Blogs/Videos

Data Reconciliation for SOX Compliance
Leveraging the Datagaps DataOps Suite for APCD Submissions - Glimpse and Challenges - (Part 1/4)
Challenges with APCD Submissions and Data Validation for APCD Payers Submissions - (Part 2/4)
Benefits of Using Datagaps DataOps Suite for APCD Compliance and Submissions - Part 3
Datagaps DataOps Suite Demo for APCD Submissions - (Part 4/4)
Mastering APCD Compliance: Leveraging DataOps Suite Pre-built Rules for Streamlined Reporting

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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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