In a webinar, our team of data experts sat down to discuss the three paths that make up the User Analytic Journey.
To help you understand which path will lead you to your data destination, in this three-part blog series, Nicole Belles, VP of Product here at Springbuk, describes how you may use the Springbuk platform to uncover the stories your data can tell.
Perhaps you're working through your quarterly reporting and are looking to know more about the prevalence of diabetes in your population.
Your first stop on this path is Springbuk Insights™.
Upon logging into the platform, you'll navigate to Insights:
Within Insights, the Springbuk proprietary event prediction algorithm readily identifies members who have or are at risk of developing type 2 diabetes.
Our predictive model uncovers members who are at risk for diabetes because they have a similar clinical history to those who are already diagnosed with the disease.
Continuing on your data discovery journey, you might be interested in learning more about those who have diabetes and obesity, and ask yourself, "What is their story?"
To begin to answer this, the next stop on your path is the On-Demand Story Library:
Here, you could pick from a variety of routes to continue your data discovery on, but for now, you'd like to focus on the Diabetes Profile.
To learn more about the three paths of the User Analytic Journey, and which one can help you find the answers you need, read the full guide here.