NeenOpal
63 Case Studies
A NeenOpal Case Study
The U.S.-based market research and consulting firm was struggling with an overly complex analytics environment that used an excessive number of calculated fields and dashboards on AWS QuickSight. This created significant performance bottlenecks and made the reporting experience fragmented for users, preventing them from efficiently navigating and interpreting their complex research data.
NeenOpal addressed this by redesigning the customer's entire analytics architecture. The solution involved restructuring the data model with a PySpark-based pipeline, utilizing Amazon S3 and Amazon Athena for scalable querying, and optimizing the AWS QuickSight dashboards with a high-density, interactive design. This approach allowed NeenOpal to deliver a 99.85% reduction in calculated fields and a 96.88% reduction in dashboards, which resulted in a 95% improvement in dashboard performance and a far more streamlined user experience.
U.S.-based Market Research and Consulting Firm