Data Quality Audits

Understanding the potential for improving data quality is the first step in any data transformation project. If you do not have the time or people to conduct your own assessment, Intervera can provide a broad array of data quality audit services to quickly summarize the state of your current data.

Intervera’s audit services can be applied to a number of situations where data quality can have a significant impact on the business:

As an input into asset acquisition and divestiture due diligence

As an assessment of data integrity issues prior to a technology conversion

As a checkpoint for compliance to regulatory reporting guidelines

As a validation of data integrity prior to CEO/CFO certification (MI 52-109 in Canada or SOX 404 in the U.S.)

As a quality check of operating inputs into financial reporting and payouts

SOX and MI 52-109 disclosure in Canada now requires certification that the operating inputs into financial reports reflects a fair representation of operating conditions. Without ongoing auditing of data inputs, data integrity cannot be validated or certified.

Our audit services will quickly help you determine the scope of your data quality problem, identify the business case to justify a clean up project, and best of all, help establish the roadmap for implementing a complete data quality solution.

Traditionally these audits are accomplished through arduous manual processes that involve scripted queries and sampling. Using the DataVera HealthCheck™ data profiling tool, the Intervera Client Services team can quickly highlight your data quality concerns, assess their impact on the business and propose a cost effective and timely solution to clean your data.