“We wanted to duplicate the existing systems capabilities at a lower cost and be able to add additional functionality as needed.”

"We had a 50% reduction in time to implement a Logistical Regression Model by using GDS's PMML tool. Previously it took approximately 20 hours and with this tool we can deploy a model in approximately 10."

"Fetch Marketing has generated $4.52 for every $1 invested. It has been a clear winner for our credit union."

"What keeps me coming back to Ser Tech is the ease of implementation and execution, along with the results, including the data extract files that we are able to use here at the credit union for additional contact to qualified members. And, Scott has done a great job of helping …

"We did not have a decisioning platform no underwriting platform. We didn’t think we could build it."

"We wanted to duplicate the existing systems capabilities at a lower cost and be able to add new functionality as needed."

“Our long-term success will rely on accessing data sources that are currently available and will rely on GDS Link’s ability to access additional data sources in the future. We will add four new data sources next year and four the following.”

“Our collaboration with GDS Link exemplifies our ‘best of both’ strategy, seamlessly integrating cutting-edge technology with deep human expertise. We’ve been pleased with the results and are confident our customers are benefiting positively.”

“Working with GDS allows us to automate very complex decisioning algorithms and incorporate new models that could not be accomplished in our old system. It is the key to success.”

"Working with GDS Link has been a game-changer. Their expertise and experience helped us to streamline our loan application process, freeing up our team's time and resources to focus on more complex loan decisions. The credit union is now poised to achieve substantial growth opportunities, and we look forward to …

"The process is very smooth – excellent.”

“Recently, goeasy developed a new adjudication and lending limit strategy that utilized a large number of statistical models at the same time (7-8). The current process would’ve extended the project delivery timeliness and by delaying the delivery, reduce the projected results. After doing some research, we decided to proceed with …

"We've costed out the marketing campaigns with other vendors, and the pricing that we've received has been very reasonable, with good response rates."

“Because in our world, you don’t want to spend dollars that are losses.”

"We have the ability to pull and aggregate data pass the data through the decision engine implement rule sequences and process credit applications for multiple banks. The stability of the base code allows us to turn the tool into what we need to be it is a huge benefit."