Unravel RWD with advanced analytical frameworks to strategically prepare for Commercial Biosimilar launch Janani Damodaran Consultant Daniel Britto Associate Consultant Event Date: Wednesday, January 13th, 2020 Time: 12:00 p.m. ET In the epoch of thriving Biosimilars...
Analytics ready data powering Ad-hoc reporting Samuel Jaideep Associate Product Architect Razia Sultana Senior Product Engineer The Customer had a requirement to Process several sources of claims data and join them with the Eligibility data to get Insights into Cost...
Data Wrangling for AI/ML Nitish Kumar Associate Product Architect Madhusudhan Naidu Product Engineer One of the leading providers of machine vision, AI/ML solutions provider was in need of a robust Data Wrangling solution which would be leveraged for their multiple...
Leveraging AI in automating Data Stewardship process Sammed Kumar Technical Product Manager Pradeep Kumar Principal Consultant – Data Science A large biopharma organization is using Informatica to create Prescriber master data based on IQVIA onekey / HCOS data,...
Leveraging Full Potential of the Data Lake Samuel Jaideep Associate Product Architect Hari Prasad Associate Software Developer Data Science teams at a large biopharma organization face multiple challenges while creating data packs, which is a prerequisite for their...
D Cube Analytics is an Integrated Data Sciences company focused on extracting transformational insights from syndicated, real world and digital data to increase revenue realization, avert revenue loss, enhance internal productivity and improve end user experience for global Pharmaceutical organizations.
D Cube is pioneering a Digital Transformation wave within BioPharma by leveraging new age tools and methodologies like Artificial Intelligence, Machine Learning and Robotic Process Automation to greatly improve the productivity of workforce and significantly enhancing speed to insight. Through this new age product-based approach to delivering analytics, we greatly reduce the cost and complexity of deployments and provide measurable value across multiple business functions.
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