Our client is one of the top Life Sciences Companies in the world which caters various therapeutic areas and has a wide range of supplies for some of the feared diseases of our time. They apply their deep expertise in the field of pharmaceuticals, innovative methodologies and cutting edge technologies to find sustainable solutions to the health care challenges prevailing in this world.
Our Client Ockham, is also a Contract Research Organization (CRO) executing many long term Clinical Trials/Data Analysis studies in more than 25 countries for industry leading Pharmaceutical Companies.
They had valuable historical data of all studies in different data formats under different systems covering multiple therapeutic areas. Significant amount of study planning and tracking information were also in thousands of spreadsheets. Many GBs of data was exchanged between the client and their customers on a weekly basis.
Client depended on many manual operations for accessing and analysing data for BI. These insights were not only important to track the studies but also to predict various inflection points of studies still in the planning stage. This manual processing resulted in a long time to obtain these valuable insights and quality reports were not available throughout the organization.
Integrate the data from Study budgets, Clinical Trial Management System, Timesheets, HR & Payroll data, Vacation management system and Finance and Invoicing system and create data lake. The data from the disparate data sources couldn’t be integrated seamlessly. The existing system’s inefficiency to handle unstructured data was affecting the quality of the business intelligence derived. The client was expecting an intuitive and a responsive user interface to generate various reports and dashboards.
AWS is designed to host quick and secure applications. AWS provides a simple, cost effective, fully managed built in data ware house solution which can scale indefinitely to large volumes of data. It integrates seamlessly with other services and provides a lot of scope for automating the whole life cycle of the CRO model using its SDKs.
The services simplify the following
AWS Cloud with its scalable, reliable and secure global infrastructure simplifies the infrastructure provisioning for this project. The pre-built, time tested services and its frameworks helps develop components at a better momentum than a traditional data center application and ensures quality deliverables at a shorter mileage. It eventually reduces the TCO of the application with a lower capex and at a better profitability.
SecureKloud with its unique combination of Cloud and Analytics expertise was the ideal partner. SecureKloud solution architects did a comprehensive assessment of the platform architecture and recommended the adoption of CloudEz and moving the entire platform to the cloud.
Once the client awarded the Cloud and Analytics services contract, SecureKloud started setting up a scalable and secure HIPAA compliant Cloud Infrastructure. The following features were implemented using an Agile approach
In a span of 4 months, full stack analytics re-engineering approach delivered various benefits. Client was able to ‘democratize’ the insights across the organization and there was a single source of ‘truth’ in the newly created data warehouse. Some quantitative benefits included saving about $100K per quarter obtained due to the changes in the budgeting process that were performed based on the insights obtained. Data ingestion was an order of magnitude faster and new data sources could be added in a seamless manner. Easier integration with machine learning models to perform predictive analytics and prescribe business insights. Full compliance to HIPAA standards.
Leading Global Pharma Giant
AWS and DevOps
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