The client is a 20+ year old asset-based third-party logistics provider (3PL) of both brokerage & freight management and asset-based services of dry van, refrigerated, and dedicated/private fleets.
The client used several off the shelf systems to help run their business. As the systems collected large volumes of transactional data, collating it and extracting meaningful insights was challenging. Due to data silos, stakeholders received multiple out-of-sync and unverified data, creating inaccurate insights. This led to unreliable data on key parameters across different aspects of the revenue cycle. The client needed a QA & Testing partner who had an in-depth understanding of Big data and BI services.
Assessed the 8 primary applications and key data sources
Designed and developed a BI system that had:
The QA team performed end-to-end system & integration testing, analyzed and created multiple test data sets - vital to big data testing. Data quality verification was done across all stages of BI application. With our Responsible testing approach, the team validated the data feed, ensured accurate report generation, that rendered across operating systems(OS), browsers, and devices. With an iterative continuous testing strategy, we: