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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 youโ€™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.

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

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Resell, implement or co-deliver

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

A Glimpse into the Trusted Data Summit 2023 by Datagaps

The Trusted Data Summit 2023, a virtual event hosted by Datagaps on November 15, 2023, brought together 900+ professionals, including speakers like Rajarajan Sampath, Donald Farmer, and Evan Levy. Sessions covered data trust in the age of AI, governance, data quality, security, and automation strategies for ETL, BI, and data quality testing. The summit featured keynotes, interactive workshops, and real-world case studies from organizations including NYU, PwC, and UVA.

Key Takeaways

  • 900+ professionals attended virtually, including notable industry speakers such as Rajarajan Sampath, Donald Farmer, and Evan Levy, covering topics from AI-era data trust to governance and security.
  • Sessions spanned data quality, governance, and automation, with specific focus on strategies for ETL Testing, Data Quality Monitoring, and BI Testing.
  • Interactive workshops turned theory into practice, giving attendees hands-on experience with data trust technologies and methodologies they could apply immediately.
  • Real-world case studies featured organizations like NYU, PwC, and UVA, demonstrating how trusted data drives innovation and business growth across sectors.

In a world increasingly driven by data, trust has become the cornerstone of decision-making. The Trusted Data Summit 2023, a virtual event hosted by Datagaps, served as a forum for likeโ€“minded data enthusiasts to exchange ideas about improving the data journey through the enterprise.  Held on November 15th, 2023, industry experts, partners, and clients from across the globe converged virtually to delve into the intricacies of building and maintaining trust in data. 

A Gathering of Knowledge and Insights

Over 900+ professionals, including renowned figures like Rajarajan Sampath, Donald Farmer, Evan Levy, and more, graced the summit with their expertise. Their insights provided a comprehensive overview of the data trust landscape, covering topics such as data in the age of AI, data governance, data quality management, data security, and automation strategies for ETL Testing, Data Quality Monitoring, and BI Testing.

Interactive Workshops: Hands-on Data Excellence

Beyond the captivating keynotes, the summit offered interactive workshops, allowing attendees to gain practical experience with cutting-edge data trust technologies and methodologies. These sessions transformed theoretical knowledge into actionable strategies that could be implemented immediately within organizations.

Real-World Case Studies: Illuminating Data Trust in Action

The summit showcased how organizations from various sectors are leveraging trusted data to fuel innovation and propel growth. Real-world case studies from companies like NYU, PwC, UVA, and others provided tangible examples of how data trust can transform businesses and industries.

Direct Dialogue with Data Trust Experts

Attendees took the opportunity to engage with the summitโ€™s experts in interactive Q&A sessions. These sessions addressed essential questions, providing valuable insights into the challenges and opportunities in the realm of data.

Innovative Solutions: Paving the Way for Data Excellence

The Trusted Data Summit was a launchpad for the latest data trust solutions and software advancements. Attendees gained firsthand access to modern technologies, witnessing their potential to improve the data management landscape.

A Resounding Success: A Summit That Shaped the Discourse

The Trusted Data Summit 2023 concluded with a resounding success, leaving an indelible mark on the field of data trust. The summitโ€™s focus on actionable insights, collaborative learning, and showcasing real-world applications of data trust resonated deeply with attendees.

Embark on Your Data Excellence Journey

As the curtains close on the Trusted Data Summit 2023, the journey doesnโ€™t end here. Datagaps invites you to continue your quest for data excellence. Stay connected with us for future events, pre-register for upcoming summits, and explore our wealth of resources and tools. Together, letโ€™s embark on a data-driven future where trust and innovation are the cornerstones of success. 

Thank You Note from Our CEO Mr Narendar Yalamanchilli

Result in benchmark

Join The Data Excellence Journey

Visit our summit page to delve into the details of our Data Leader and Professionals Tracks.

Together, letโ€™s transform the way you manage, govern, and analyze your data. Together, we can build a future where data trust is the foundation of success.

Join The Data Excellence Journey

Datagaps is committed to empowering organizations to achieve data excellence through our comprehensive suite of data management solutions and expert services. We are passionate about helping businesses harness the power of data to make informed decisions, optimize operations, and drive innovation.

FAQs: Trusted Data Summit 2023

1) What was the Trusted Data Summit 2023?

Trusted Data Summit 2023 was a virtual event hosted by Datagaps on November 15, 2023, bringing together more than 900 data professionals to discuss data trust, governance, data quality, automation, and AI-driven data management.

2) Who were some of the speakers at the Trusted Data Summit 2023?

Featured speakers included Rajarajan Sampath, Donald Farmer, and Evan Levy, who shared insights on building trusted data, strengthening governance, improving security, and preparing organizations for the AI era.

3) What topics did the summitโ€™s sessions cover?

The sessions explored best practices for data quality, data governance, and automation, with dedicated discussions on ETL Testing, Data Quality Monitoring, BI Testing, and establishing trusted data pipelines.

4) Did the summit include hands-on or practical content, not just presentations?

Yes. In addition to keynote presentations, the summit included interactive workshops, practical product demonstrations, and real-world customer case studies from organizations such as NYU, PwC, and the University of Virginia (UVA).

Get Started Today

Talk to a datagaps expert

Rajesh Kumar A
Rajesh Kumar A

Digital Marketing Manager, Datagaps

Digital Marketing Manager at Datagaps. Drives data-driven growth through content, performance campaigns, and marketing technology.

SPS Murthy
S P S Murthy Akella

Director, Technology Strategy, Datagaps

Director of Technology Strategy at Datagaps. Business solutions architect and Certified Scrum Master in data engineering, responsible AI, and ML across BFSI, telecom, aviation, and energy.

Established in the year 2010 with the mission of building trust in enterprise data & reports. Datagaps provides software for ETL Data Automation, Data Synchronization, Data Quality, Data Transformation, Test Data Generation, & BI Test Automation. An innovative company focused on providing the highest customer satisfaction. We are passionate about data-driven test automation. Our flagship solutions, ETL Validator, DataFlow, and BI Validator are designed to help customers automate the testing of ETL, BI, Database, Data Lake, Flat File, & XML Data Sources. Our tools support Snowflake, Tableau, Amazon Redshift, Oracle Analytics, Salesforce, Microsoft Power BI, Azure Synapse, SAP BusinessObjects, IBM Cognos, etc., data warehousing projects, and BI platforms.  Datagaps

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