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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 you’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.

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

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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

Power BI Testing Automation Tool

Automate Power BI testing with BI Validator for comprehensive report validation

Microsoft Power BI testing

Benefits of Automating Power BI Testing

Automating Power BI testing improves data accuracy, speeds releases, and reduces QA effort.

Use BI Validator for regression, functional, and performance testing across Power BI reports and catch issues before production.

Trusted Decisions

Accurate Power BI reports lead to better decisions that impact the bottom line for organizations.

Increase Adoption

Automated Power BI testing improves trust in reports, delivering consistent results that drive higher user adoption.
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Lower Costs

Reduce manual QA effort, shorten cycles and lower total Power BI testing costs.

How does BI Validator Enable Power BI Testing?

Automate Power BI Testing - Upgrades & Migrations

Power BI Visual Regression Testing

Baseline report pages and auto compare visuals to detect differences before release.

Compare Environments in Migrations

Compare reports across Power BI workspaces to identify differences in visuals, datasets, and configurations between Dev, Test, and Prod environments during migrations.

No Code Power BI Test Automation

Eliminate custom code by automatically generating Power BI testing workflows. Speed up test creation and ensure report accuracy across all your dashboards instantly.

Automated Test of Power BI Upgrades and Migrations
New Power BI Deployment Functional test

Functional Testing for Power BI Reports

Validate Visuals against Databases

Establish trust in your reports by automatically validating Data of Power BI visuals against SQL Query results to catch logical discrepancies.

Test Filters and Slicers

Automatically generate hundreds of filter combinations from slicer and filter values to validate interactions, defaults, and edge cases across Power BI reports.

Test Row Level Security

Impersonate roles and users to confirm row level security so each user only sees authorized data.

Performance Optimization and Stress Testing

Dashboard Performance Testing

Monitor Power BI dashboard and report performance in production, capturing metrics while applying filters, slicers, and bookmarks.

Dashboard Load and Stress Testing

Simulate concurrent users to measure performance at different loads and identify bottlenecks in your Power BI environment.

Semantic Model Analysis

Analyze the Power BI semantic model to detect unused columns and attributes of Power BI Reports, reducing model complexity and improving report performance.

Performance testing and Stress testing of PBI dashboards
Performance Testing BI

Easy Test Creation and Impact Assessment

Bulk Test Case Creation

Generate hundreds of tests by importing a workspace so you can scale Power BI regression testing coverage without repetitive setup.

Enterprise Collaboration

Store Power BI test results in a central repository to share findings and coordinate fixes between testers and developers.

Automated Report Lineage

Trace dependencies across datasets, reports, and measures to instantly see how changes affect your ecosystem. This automated lineage allows for precise impact assessment and targeted testing

Continuous Power BI Testing and Alerting

Integrates with CI/CD Tools

Trigger test plans for Power BI reports from DevOps tools such as Azure DevOps or GitLab using CLI or REST API and publish results back to your pipeline.

Scheduling and Email Alerts

Schedule recurring Power BI test plans and notify stakeholders by email when failures occur to monitor report health continuously.

Integrated Enables CI_CD for Power BI

Multi Platform BI Support

BI Validator – BI Testing Tool to automate the testing of the following BI Platforms : Oracle Analytics, Power BI & Tableau.

Power BI Testing Case Study

Our clients receive great value from our data validation solutions.

Snowflake Data Vault for Asset Management

End-to-End Data Assurance Journey of an Asset Management Firm

Signup for a free trial of BI Validator

Reduce your data testing costs dramatically with BI Validator –

Get your 14 days free trial now.

FAQs

1. In what ways does automating Power BI Testing help?

Automating Power BI Testing helps ensure dashboards and reports remain accurate as data, transformations, and report logic change. It automatically validates data, filters, and KPIs, reduces manual testing effort, and quickly detects issues before they affect business decisions.

2. How does BI Validator help teams automate Power BI Testing?

BI Validator helps teams automate Power BI Testing by enabling reusable test cases and continuous validation across dashboards, reports, and data sources. It also supports regression and stress testing, helping ensure Power BI reports remain accurate and reliable as data and report logic evolve.

3. What Power BI Testing capabilities does BI Validator provide?

BI Validator supports multiple Power BI Testing capabilities including data validation, dashboard comparison, filter and slicer testing, across report environments, and performance testing.

4. How does Power BI Testing help during report migrations?

Power BI Testing compares reports across workspaces or environments to detect differences in visuals, datasets, and configurations after migrations.

5. What types of Power BI Testing should teams perform?

Common Power BI Testing scenarios include data validation, dashboard testing, filter and slicer testing, environment comparison, and performance testing.

6. What makes BI Validator the best fit for automated Power BI testing?

It automates Power BI report testing end to end: baseline visuals, compare values to SQL or source data, validate filters and slicers, verify row level security, and track performance and load, all from a single tool.

 

Blogs/Videos

Top 4 Challenges in Power BI Testing
Challenges in Power BI Data Validation
How to Do Regression Testing Using DataOps Suite BI Validator

BI Validator – Try it FREE for 14 days

DataOps Suite – BI Validator can help automate testing of your Tableau, Oracle Analytics, Cognos Analytics, Microsoft Power BI projects.

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