#1 BI & Report Testing Automation Tool

G2
5.0
Capterra
4.7/5

Most BI Reports Are Never Tested Against Source Data.

Power BI and Tableau reports drive your most critical business decisions - but how do you know the numbers are right? iceDQ automates full-coverage BI report testing, validating every report against source systems, detecting calculation errors, and ensuring every KPI is accurate. No manual verification. No sampling. Just trusted insights every time.

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Trusted by Fortune 500 companies

altruist Paccar rx sense castell pepsi anthem BCBA - LA liberty mutual logo-spglobal LMI health first bmc credit suisse marriot Etrade Morgan Stanley altruist Paccar rx sense castell pepsi anthem BCBA - LA liberty mutual logo-spglobal LMI health first bmc credit suisse marriot Etrade Morgan Stanley

Why Choose iceDQ?

End-to-end BI report testing automation designed for full-coverage dashboard and report validation.

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Power BI and Tableau Report Validation

Validate Power BI and Tableau reports directly against source data - catching calculation errors, missing records, and aggregation mismatches before reports reach decision-makers. Supports MicroStrategy, IBM Cognos, Qlik Sense, and more.

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Source-to-Report Reconciliation

iceDQ reconciles every number in your BI reports against the underlying source systems - validating row counts, KPI values, filters, and business logic at the attribute level across every report object, with no sampling.

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Catch Calculation and KPI Errors

Design complex test scenarios to detect rare calculation errors, incorrect filters, broken hierarchies, and KPI mismatches that manual spot-checking and traditional sampling methods miss.

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CI/CD and DataOps Integration

Trigger automated BI report regression testing in your CI/CD pipeline using API-first design. Catch report-breaking changes on every data or model update - before they reach production dashboards.

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AI-Driven Auto-Rule Generation

Automatically generate BI validation rules across thousands of report objects, KPIs, and metrics in hours using iceDQ's AI rules engine - reducing rule creation from weeks to hours with no manual setup required.

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Reusable BI Test Suites

Reuse BI report test cases across Dev, QA, and production environments to standardize validation and accelerate regression testing every time your data model, ETL pipeline, or BI reports change.

Out-of-Box Checks

Accelerate BI Report Testing with Prebuilt Data Reliability Checks

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Custom
Complex conditions using custom expressions
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Completeness
Validates for NULLs, spaces, or empty values
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Contains
Verifies attribute contains only specified values
custom
Datatype
Checks if value can be cast to a specific type
custom
Range
Ensures values fall within a specified range
custom
Date
Validates strings against selected date formats
custom
Pattern
Matches values against a regular expression
custom
Duplicate
Detects duplicates across one or more attributes
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Length
Checks the length of each attribute value
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Reconciliation
Cross-system record matching and validation

Features

Easy, Low-Code/No-Code Testing

  • Automate BI report test generation with minimal effort
  • Powerful scripting for complex report validation scenarios, with rule-based validation and reconciliation

High-Performance, Scalable Testing

  • Achieve million-record-per-second report validation speeds
  • Flexible deployment on-prem or in the cloud with parallel and cluster processing

Seamless Connectivity and Integration

  • Connect to over 150 databases, BI platforms, cloud systems, and file sources
  • Integrate seamlessly with test case management and ticketing systems

Accelerate DataOps with API-First Design

  • Fully compatible with CI/CD pipelines
  • Automate BI report regression testing and enable end-to-end validation for DataOps

Benefits

See the transformation iceDQ delivers across real BI testing projects

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Report Objects Validated
3,000
5,000
67% more coverage
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Test Automation Level
10% - 20%
95%
~5x improvement
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Report Test Coverage
Less than 80%
100%
Full coverage achieved
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Testing Timeline
24 Months
5 Months
79% faster delivery
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Testing Team Size
10 People
5 People
50% team reduction
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Report Regression Cycles
3 Months
1 Month
3x faster cycles

Trusted by Industry Leaders

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We have standardized iceDQ for all our cloud migration.

Senior Director of Advanced Analytics, Albertsons
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We probably saved 5,000 hours ($500,000) on the Data Migration Project.

Head of Quality Assurance,
PepsiCo
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BMC was able to achieve 100% test coverage after iceDQ implementation.

Director of Business Analytics, BMC Software
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RuleGen utility helped Pfizer reduce the duration of IT testing from 24 months to 2 months.

Head of Data Governance,
Pfizer
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iceDQ has enabled testers to keep up with the pace of developers and reduced the testing time by half.

Director of Quality Assurance,
HealthFirst
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Not only did we achieve near perfect quality, but we also saved time and money on the project.

Director of Quality Engineering, Cencora

Built-In Functionalities

⚙️Parameterization
⚙️Rules Wizard
⚙️BI Report Validation
⚙️Data Monitoring
⚙️Built-In Scheduler
⚙️User-Defined Function
⚙️Flat File Testing
⚙️SAP HANA Migration Testing
⚙️Reporting and Analytics
⚙️Security - LDAP and SSO
⚙️Query Designer
⚙️Regression Testing
⚙️Salesforce Migration Testing
⚙️Alerts and Notifications
⚙️Integrated Key Vault

Ready to Trust Every Number in Your BI Reports?

Try it for yourself today
Book a Demo

Frequently Asked Questions

What types of BI reports and platforms can iceDQ test?
iceDQ automates testing for all major BI platforms including Power BI, Tableau, MicroStrategy, IBM Cognos, Qlik Sense, and SAP BusinessObjects. It validates report data, KPIs, filters, calculations, hierarchies, and aggregations against source systems - across dashboards, paginated reports, and embedded analytics - with full coverage and no manual verification.
How does iceDQ validate BI report data against source systems?
iceDQ connects directly to both your BI platform and its underlying source systems - databases, data warehouses, ETL outputs, and data lakes. It performs attribute-level reconciliation between what the BI report displays and what the source data contains, checking row counts, KPI values, filter logic, and calculated measures across 100% of report objects - not samples. Any discrepancy is flagged with the exact record, field, and expected vs actual value.
How does iceDQ detect calculation and KPI errors in BI reports?
iceDQ validates the business logic behind every KPI and calculated measure in your reports - checking aggregation functions, filter conditions, date logic, and custom expressions against source data. It catches errors that are invisible to visual review: a measure that aggregates at the wrong grain, a filter that silently excludes records, or a KPI that rounds incorrectly across millions of rows. These are the errors that reach the boardroom undetected without automated testing.
Can iceDQ test BI reports across cloud and on-premises environments?
Yes. iceDQ supports on-premises, cloud, and hybrid environments with 150+ native connectors. It validates BI reports connected to Snowflake, Redshift, BigQuery, Azure Synapse, SQL Server, Oracle, Teradata, SAP, and more - in any combination of source and BI platform, regardless of whether your environment is cloud-native or on-premise.
How does iceDQ support BI regression testing when reports or data changes?
iceDQ is built API-first with native integrations for Jenkins, Azure Pipelines, GitHub Actions, and Git. BI report regression test suites run automatically whenever your data model, ETL pipeline, or report definitions change - catching report-breaking regressions before they reach end users. Test results push directly to JIRA, Azure Test Plans, HP ALM, and ServiceNow for full traceability.
How quickly can iceDQ auto-generate validation rules for BI reports?
iceDQ's AI-driven auto-rule generation scans your BI report structure and source schemas, generating validation rules across thousands of report objects, KPIs, and metrics in hours. Rules cover completeness, data types, referential integrity, calculation logic, and reconciliation - and can be reviewed, refined, and reused across environments and report releases.
How quickly can we deploy iceDQ for our BI testing environment?
Most organizations complete a proof of concept within 2-4 weeks and full deployment within 30 days. Every iceDQ customer receives a dedicated Forward Deployed Engineer (FDE) for 3 months at no additional cost - who configures the platform to your specific BI stack, builds initial test suites for your Power BI or Tableau reports, and gets your team validating reports fast.