Audit Large Scale Environments with Ease Using Acceletest Problem It is common practice to replicate production data to lower environments in support of development and testing efforts. While there are several challenges associated with this practice, the biggest issue is the risk associated with exposing sensitive data, since lower environments are not typically controlled… Read more »
Posts Categorized: Case Studies
Using Acceletest to Detect Sensitive Data in Non-Production Environments Problem It is common practice to replicate production data to lower environments in support of development and testing efforts. While there are several challenges associated with this practice, the biggest issue is the risk associated with exposing sensitive data, since lower environments are not typically… Read more »
Acceletest Saves Large Health Insurance Company Over $1M Through Audit Automation Problem Meridian Technologies was engaged to audit the lower environments of one of the nation’s leading healthcare organizations to find instances of live production data, such as Protected Health Information (PHI) and Personally Identifiable Information (PII). The client was concerned about the presence of… Read more »
This Top 5 brokerage firm was experiencing significant project delays due to long testing cycles. They also had serious concerns regarding the security of customer data in their test environments. They needed a solution that could work with very large data sets, reduce the size of their test data sets to reduce cycle times, and support end-user testing without the need for real customer data. Our client selected AcceleTest to create meaningful subsets of production data from multiple large-scale source systems, and to de-identify sensitive data elements to protect the privacy of their customers.
This global bank was executing a large project to consolidate and upgrade over 15 independent systems supporting loan servicing. Extensive testing of the data transformations between source and target systems was required to validate this complex, and large-scale data migration. The budget and schedule for this project were extremely tight. Testing of all the data combinations manually, across all source and target systems, would have impossible in the timeframes available, and would have been cost prohibitive. The company turned to AcceleTest to fully automate the validation of their data migration.