We help our customers address strategic problems and opportunities in the pharmaceutical and healthcare industry by using big data and analytics.
We concentrate on three types of solutions; building a suite of purpose-specific SaaS application solutions, delivering an innovative analytics as a service platform (cloud or on premises), and enhancing solutions with a data science consulting practice.
A few examples of applications that we build are the CMS OpenPayments Analytics, Data Prep ETL Accelerator, Cohort Builder, Rare Disease Patient Finder, Managed Care Analogues, Adverse Events Analysis, Patient Journeys.
Along with our purpose-specific micro-apps, we also offer an innovative analytics as a service platform (on the cloud or on premises). This platform is open and modular. It is designed to fit within the existing analytics infrastructure at an organization. For organizations that do not have an existing analytics infrastructure, we also offer a full stack solution.
Our Data Science Consultancy service will be provided for Customers who are seeking solutions to specific business initiatives in Big Data and Data Science. These could range from one-off requirements such as the design of a high-performance solution to solve a repetitive Data Mining exercise (eg., Regression on a multi-GB dataset) to general-purpose operational solutions such as the selection and implementation of a Big Data Environment that will address departmental needs such as the design of the infrastructure for large Claims datasets.