Beyond Analytics: How to Optimize Your Benefits Program with Data-Driven Insights
For self-insured employers, the real value in data comes from turning those insights into action that optimizes your benefits program.

For self-insured employers, the real value in data comes from turning those insights into action that optimizes your benefits program.
As benefits management grows more complex, the real challenge is turning data into action. Discover the missing link that helps organizations make smarter decisions and control costs more effectively.
Employers are overwhelmed by fragmented benefits data but lack the insights needed to act. This piece explores how unifying and analyzing clinical and financial data can uncover cost drivers, improve visibility, and enable smarter, more strategic benefits decisions.
Discover 5 key insights from the data-driven employee wellness webinar featuring a client's success with BenInsights®. Learn how analytics improved cancer screenings, reduced ER visits by 11%, managed MSK conditions, implemented effective point solutions, and addressed rural healthcare challenges.
The rapid growth of health plan point solutions has made it harder than ever for employers to determine which programs truly improve member health and deliver ROI. This article explores how a data-driven, population health approach helps employers cut through the noise, identify high-impact solutions, and align benefits strategies with meaningful cost and care outcomes.
Benefits leaders face mounting challenges. Download our eBook to learn how leading employers are leveraging data analytics to optimize their benefits strategy.
Watch how Claritev helped BASF use their data to reduce costs and increase engagement for their point solutions.
Struggling with managing rising GLP-1 drug costs? Every company's cost drivers are different, making a one-size-fits-all approach ineffective. Learn how data-driven insights can help employers balance coverage and costs while optimizing member outcomes.
A case study for brokers that highlights the transformative potential of early risk prediction for improving financial outcomes and ensuring a healthier, more productive workplace.
As an early adopter of artificial intelligence for healthcare applications, Claritev is taking a proactive approach to ensuring we use this technology responsibly. In this article, members of our Responsible Data Use Committee share key considerations to help clients evaluate AI solutions with an eye to its responsible use.