A leading manufacturer of industrial equipment with operations spanning numerous geographies was faced with the daunting task of handling sensitive data in its non-production instances. The data used for testing purposes in lower instances included “Personally identifiable Information (PII)”, which had to be masked to meet internal company compliance guidelines and regulatory statutes.
Client contacted ChainSys to assist with data masking utilizing the ChainSys dataZense offering.
As part of the need to expedite availability of test data in non-production instances, Client needed all PII data to be identified and masked within the following primary systems - Oracle EBS, Salesforce, Snowflake and MS SQL Server. The key challenge that had to be addressed was to accurately identify PII data based on specified attributes through an automated mechanism as opposed to manual methods.
Client utilizes multiple Applications and underlying databases that contain PII data. The primary systems that contain such data are:
Examples of typical Critical Attributes to be identified include:
The identified PII attributes had to be masked in non-production instances before the data was utilized for testing.
ChainSys offered its dataZense tool for quickly scanning multiple databases and aggregating the PII data into clean reports. Data owners would have access to these reports for approval that would provide the go-ahead for expedited data masking processing through the dataZen tool.
ChainSys proposed its dataZense product to enable data masking.
dataZense tool provisions a scalable solution for:
dataZense - To Visualize, Analyze, Catalog and Scramble Data for Effective Decision Making & Security.