Sub-optimal business processes and siloed data collection and definitions increased operational costs and caused revenue leakages that were hard to detect for these reasons. GainOps helped the business undergo a transformation including improved business processes, clearly identified KPIs for process control and data integration that provided a clear enterprise-wide view. This reduced operational costs, enabled revenue leakage detection and quantification and helped the enterprise improve organizational efficiency.

A startup pharmaceutical company was facing the complication of identifying doctors and other health care workers with authority to prescribe their medications. Such prescribers could prescribe drugs in several states. The business could give samples of their product to prescribers only in those states wherein they could prescribed. Non-compliance with this rule carried a high financial penalty. At the same time prescribers data was not structured in a way that efficiently indicated the states where prescribers could be sold to and given samples to. GainOps cleaned and shaped the data to overcome this problem. They also designed dashboards for the startup that helped them to easily and quickly ascertain whatever was needed to provide samples and sell to prescribers. This directly helped the startup's sales to increase.

Banks are required to comply with the new Current Expected Credit Losses (CECL) accounting standard which requires then to provide estimates of expected losses over the life of loans. GainOps designed and deployed a comprehensive solution (including automated data collection and integration, interactive front-end and reports) that enabled bank officers to select loans for analysis, group them by analysis criteria and method, and generate the necessary reports describing credit loss risks. The solution made audits easy and quick, sharply reduced operational costs and even helped increase revenues.