Customer story
Discover how Gain Theory automated their data ingestion and improved collaboration, productivity and time-to-delivery thanks to CloverDX.
Read case studyThe company wanted to have complete control of their systems and steer clear of expensive ETL tools and inflexible platforms. This strategy served them well initially but as the business grew so did the complexity and the data volumes. The difficulties peaked as they developed a highly configurable Salesforce portal for their financial advisors.
With tens of millions of records of data being processed daily, things were out of hand. Maintaining ever-growing libraries of legacy scripts was now a serious problem and error rates had become very significant, requiring a full day of corrections. In the end, the published data was often 2 days out of date.
At this point the company realized that they had to squarely address the problem or the ability for the business to maintain a dominant position would be jeopardized. Choosing a platform partner was not just a question of product, it was equally about the team behind the product. CloverDX stood out from the competition in this respect with our experience in the integration field and the ability to co-engineer a solution.
With this new solution, the company has been able to vastly reduce the Salesforce data loading time and free up significant resource for the team, so they can focus on adding value - not just fixing errors. The solution now sequences data appropriately to overcome the Salesforce data loading challenges, and data validation is now robust and reliable. It’s also enabled better information to be provided to their customers with data being pulled multiple times a day from different sources.
"The single best thing this company has done for data integration."
With improved data ingest, their platform can now also integrate with legacy systems; new integrations are significantly faster; customers can be onboarded more quickly; and the business can focus on their growth.
Turning 12 hours of error prone data processing into 41 minutes of accuracy Explore Topic: Data Ingest