Sub-optimal business processes and siloed data collection increased operational costs. In addition, unclear definitions caused revenue leakages that were difficult to detect.

GainOps helped the business transform its operations. The team improved business processes and clearly defined KPIs for better process control. They also integrated data to create a clear enterprise-wide view.

As a result, the company reduced operational costs. It also detected and quantified revenue leakages more effectively. Ultimately, the enterprise improved overall organizational efficiency.

A startup pharmaceutical company struggled to identify doctors and healthcare professionals who had authority to prescribe its medications. These prescribers operated across several states.

However, the company could provide product samples only in states where prescribers legally held prescribing rights. If the company failed to comply, it faced significant financial penalties.

At the same time, the prescriber data lacked structure. It did not clearly show the states where the company could sell products or distribute samples. As a result, sales and compliance teams lacked visibility.

GainOps cleaned and structured the data to solve this issue. In addition, the team designed dashboards that allowed the startup to quickly verify where it could sell products and distribute samples.

Because of these improvements, the startup increased sales while reducing compliance risk.

Banks must comply with the new Current Expected Credit Losses (CECL) accounting standard. It requires banks to estimate expected losses over the life of loans. GainOps designed and deployed a comprehensive solution. It included automated data collection and integration, an interactive front end, and reports. The solution let bank officers select loans for analysis. They could group loans by criteria and method. They could also generate reports that describe credit loss risks. As a result, audits became easy and quick. The bank sharply reduced operational costs and even increased revenues.

A large cable manufacturer could not determine the profitability of its sales representatives. The data needed for the calculation was spread across multiple platforms. Credit and debit notes were in spreadsheets. Orders were in a web-based system. Invoices were in a homegrown ERP system. As a result, profitability calculations were slow and difficult.

GainOps fixed this by redesigning the data model and storage. We automated the data collection process across all sources. We then built dashboards that show each sales rep’s profitability clearly, accurately, and in detail.

Connect with us
Tell us about your situation or project
Talk to an Expert at GainOps