The User Analytic Journey – Path 3

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.

If you missed part one of the series, click here, or if you missed part two of the series, click here, before reading on to path three.

In our last installment, we had created and saved a custom story in Springbuk Report Builder using the 'Members taking Ozempic Focus Population.' Now, in path three, we are going to showcase how your story can expand and evolve even further in Advanced Reports.

Path 3: Interactive Exports – For the seasoned analyst who enjoys manipulating data with many different tools, this path was designed with you in mind. It’s here where you can use Springbuk data in your own custom exploration with a click of a button using:

• One-click downloads throughout the Application
• Pre-packaged Data Summaries of your key performance indicators
• One-click download of custom data queries into a CSV, Excel, or Powerpoint

We have some end users that are seasoned data explorers, who use a variety of tools to analyze and manipulate their data. They are the perfect fit for Path 3. These users often have very specific business questions or populations of interest that they need to research or share.

Other times, they want quick access to data extracts. Springbuk provides a one-click download of information and on-demand export of data summaries and allows users to meaningfully design, extract criteria, and export using Advanced Reports.

Perhaps you are working with one of your digital health vendors, and you are trying to analyze the list of members that are actively managing their condition. In addition, you want to know how they compare to the universe of members who have diabetes, based on having a diabetic episode.

To explore this, you would first navigate to the 'Condition Grps Page' and apply appropriate dimensions and filters specific to your analysis.

Note: one aspect that's worth calling out about this page is you can also look at members who are diabetic and to see their diabetes episodes as well as all their comorbidities. This is the difference between the Condition Group (Claims Only) and the Condition Group filter.

Next, perhaps you have been asked to create a presentation to your Executive Team on multi-year trends of key performance indicators. This is another way Path 3 comes in handy! You can get a quick data download month-over-month of your KPIs.

To collect the information you need in a few clicks, the 'Report' section of the application summarizes your data and highlights the key medical and drug, financial, and utilization metrics that you’re interested in, then displays them for your chosen timeframe.

You can slice and dice the data even further by applying filters and dimensions, and download it to Excel for further manipulation as needed.

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.

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