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Ernst & Young
Professional Services
August 28, 2023

Data Validation to Ensure Internal Data Integrity

Big Four professional services firm, global operations

Professional Services
Data Validation
Analytics
Azure
PowerBI

1The Background

Ernst & Young is one of the big four professional services networks in the world, providing financial audit, tax, consulting, and advisory services. Each large practice depends on data teams to collect and manage internal financial performance data that is validated and useful for final internal reporting. Internal governance and compliance depend on a robust data quality process.

2The Challenge

With current data workflows in place, a further layer of protection was needed to check both the logic and completeness of data being fed into the system. Multiple small projects with disparate data required validation to ensure the SQL database in Azure was normalized and correct for both structure and logic. Internal clients depend on this process to ensure both the financial reporting and the data supporting it are correct.

Technical Environment

  • Azure SQL Database
  • PowerBI for reporting
  • Multiple disparate data projects
  • Normalized SQL database structure

3The Solution

DataTrust was deployed to automatically validate the large volume mix of disparate data, projects, and department reporting across the enterprise. Functional Data Reconciliation (FDR) tested data based on application functionality, comparing datasets on a field-by-field level. Technical Data Reconciliation (TDR) compared bulk datasets for sanity checks including table counts, record counts, and metadata comparison.

Deployed FDR (Functional Data Reconciliation) for application-level testing
Implemented TDR (Technical Data Reconciliation) for bulk dataset validation
Created end-to-end validation cycle for PowerBI reporting
Validated logic and completeness across disparate projects
Ensured Azure SQL database normalization and correctness

The RightData Edge

Data validation unifies data understanding for ingested data, warehouse data, and data fed into reporting. The edge that RightData provided was its know-how on each specific internal department use case or project – each had its own nature, and with DataTrust, the EY internal data team could provide a consistent approach for its enterprise.

4The Results

Real-time data integrity monitoring across the enterprise
Proactive identification of logic mistakes before reporting
Unified approach for diverse department use cases
Saved time and money on data validation
Provided operational and audit edge for internal data team
"RightData understood the importance of our data validation operation and was there with both advice and software knowledge when it counted."
EM

EY Manager

Internal Data Team

Data Validation to Ensure Internal Data Integrity

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Quick Facts

Company

Ernst & Young

Industry

Professional Services

Company Size

Big Four professional services firm, global operations

Published

August 28, 2023

Categories

Professional Services
Data Validation
Analytics
Azure
PowerBI

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