Healthcare SaaS
Holistic View of Patients with Embedded Analytics.
Overview
THE CHALLENGE
A healthcare SaaS had its core product separate from its reporting solution which had a less-than-optimal user experience and made its process highly manual.
THE SOLUTION
2nd Watch utilized Azure and SQL Server to integrate the back-end data with the front-end application to centralize the data. An embedded analytics solution using Power BI was added to the application to provide a single location for patient management and facility analytics.
THE OUTCOME
We consolidated the offerings into one product, which simplified the product by having one place to manage patient and facility workflows. The client was able to increase its sales with its analytics offering and data-as-a-service model.
The Challenge
Our client is a SaaS software company selling to long-term healthcare providers. The core product was separated from their static reporting solution, which delivered a less-than-optimal user experience and disparate legacy tools. The process to get these two products into a better marketable state was also highly manual, which kept the team from working on more important business objectives.
The Solution
Our team utilized Azure resources and SQL Server services to integrate back-end data with the front-end application. By creating a cloud data platform, data was centralized into an infrastructure that could scale directly with customer growth. Through the use of Power BI, drill-through dashboards were embedded into the core application to provide a single location for both patient management and facility analytics.
The Outcome
By consolidating these two offerings into one product, Ollion enabled our client to sell an additional analytics add-on package to address all of their end customers’ needs. This new product provided the users with the simplicity of one place to manage patient and facility workflows, while also providing meaningful insight into patients.
Providers were then able to act and pivot care management quickly based on a patient’s health behavior. The end-users were given more advanced features (such as the ability to drill through reports) and our client was able to increase their sales with both the analytics offering and the data-as-a-service model.
