SUCCESS STORIES
We are solving our clients’ toughest data & analytics challenges through unrivaled talent and relentless innovation. Learn how.
Staying Ahead Of The Times
Learn how The New York Times collaborated with Caserta to bring the 167-year-old publishing giant to the future by completely reengineering their legacy data ecosystem to the cloud—all on a tight deadline.
Caserta’s considerable experience manifests itself in quick and effective approaches. Their analyses are focused and yield helpful recommendations in a very short amount of time. Second, the team’s technical and engineering skills are wide-ranging. Caserta can navigate a variety of technologies quickly with active input from senior leadership. Their guidance and advice are valuable.
Steve Stryker
CTO
Built a world-class recommendation engine for a global investment banking analytics portal for one of the top investment banks worldwide.
Delivered a healthcare payer and provider reference architecture, and strategic roadmap including infrastructure, data models, data mappings, data governance, and implementation plan to improve operational efficiencies.
Worked with one of the leading luxury fitness companies in the country to build a data analytics platform from the ground up to improve lead conversion.
Helped one of the "big three" entertainment and record label conglomerates architect and migrate their legacy infrastructure to modern data engineering on the cloud to better assess artists sales performance.
Built a data lake for the largest membership interest group in the country to optimize their path-to-purchase analytics and increase membership.
Replatformed a top media marketing tech firm's data ecosystem from legacy big data technologies to modern methods on the cloud to improve their product performance.
Assessed and tested multiple technology platforms and then built a winning data warehousing, business intelligence and analytics platform for one of the largest property and casualty insurer in the United States to optimize quote-to-sale pipeline.
Designed a cloud-based analytics platform that would help a major media company analyze customer data for their newly launched streaming media service.
Aided a hospital system with decision to buy a packaged data analytics platform or build their own custom solution to effectively interrogate electronic medical record details.
Built an end-to-end data ecosystem for a major medicare advantage healthcare company to improve operational efficiencies and increase the bottom line.
Built data warehousing, business intelligence, master data management and operational data store for one of the world's second-largest reinsurers to better assess risk and improve overall company performance.
Built a data lake on the Cloud for a leading health insurance company to ingest and analyze IoT data and become the foundation of their entire data analytics platform.
Built a new data analytics platform including a scalable custom rules engine for chronic disease detection, when the healthcare business grew beyond the capacity of the existing data warehouse.
Provided strategic assessment of a global hedge fund data analytics ecosystem. Assisted IT management with implementation planning, roadmap and solution architecture so they could build the solution with their internal team.
Designed and built a data analytics platform to systematically assess risk and for one of the largest hedge funds in the country.
Designed a hybrid big data platform including predictive analytics for a multinational financial services company to reach a million users on their new digital wallet product.
Designed, architected and built a data science laboratory for a world-renown financial services company to collect, analyze and assess their new investment ideas.