“Without data you’re just another person with an opinion.” - W. Edwards Deming, Data Scientist.
Personalization is everywhere – from Amazon to Spotify, and is now the expectation for consumers. Personalization in benefits elections is also the new normal, thanks to decision support tools and data analytics. Modern decision support tools draw on data points including demographics, preferences and medical need, all highly relevant towards personalization.....as opposed to the "one-size fits all" modeler of the past that relied on strict business rules.
Using data to advise clients can be a game changer for a broker. With analytics, you can quantify your benefit plan suggestions based on hard evidence, and advise based on unbiased data versus mere opinion. But where does this data come from? And how do you know which data to use? Join benefitexpress on July 10 as we explore how decision support tools can provide data to simplify health benefit decisions, allowing employees to feel more confident in their decisions, leading to lower costs for employers and client retention for brokers as a result.
In this webinar, brokers will learn how decision support analytics can reinforce their role as a trusted adviser by:
∙ Helping employer clients understand which health plans and programs are being used and which ones are the most cost-effective
∙ Minimizing the number of employees who are over-insured or under-insured, helping to save on annual and long-term costs for healthcare premiums, leading to better client retention over time
∙ Supporting healthy employee behaviors, resulting in lower health care expenses overall