D Cube Analytics

With exploding data sources in the Biopharma domain, Data Analysts & Engineers spend a disproportionate amount of time on code-driven feature engineering and conducting exploratory data analysis. The challenge is compounded due to a lack of collaboration features that increase the number of iterations between data and business practitioners.

Read how DDS IRIS™ was able to impact and leverage the full potential of the data lake https://bit.ly/3M6COMN

Data Wrangling for AI/ML | D Cube Analytics Geared to serve the data-wrangling requirements of enterprise analytics, DDS IRIS™ leverages the full potential of the data lake

During these unprecedented times, biopharma are responding to the rapid challenges arising from disruption in supply chains and the need to change business processes.

Hear from insiders how organizations are addressing the challenges towards data availability and data silos.

https://bit.ly/38QrWU2

Digital transformation and Data transformation A chat with industry veterans - Vishnu from Amgen and Rajeev from D Cube Analytics.With our host, Paramita Kar, we discuss innovation triggers disrupting & d...

Breakthrough your performance barriers to scale brand launch analytics through data modernization infrastructure.

Build a robust process by implementing an analytics platform on cloud for immediate analytics.
https://bit.ly/3rsuSN0

Brand Launch Analytics Improved Through Data Modernization Infrastructure - Pharmaceutical Data | Healthcare Data Analytics Company in USA PRODUCT Implemented an analytics platform enabling the Customer to scale Brand launch analytics through Data Modernization Infrastructure Built a robust data management process by implementing an analytics platform on cloud ecosystem for parallel and immediate analytics and reporting to establish Da...