A Data Democratization Platform for Data Science Teams

Sammed Kumar

Technical Product Manager

Meda Ajay Krishna

Associate Product Architect

Samuel Jaideep Bethala

Senior Product Architect

Nitish Kumar

Associate Product Architect

Client: BioPharma
Year: 2018

Over the last decade, there is a shift in focus towards high value Data Science projects and rapid technology evolution in the Data Science field making it difficult for the enterprises to adapt. This makes Data Scientists turn towards variety of open source alternatives instead of enterprise level proprietary tools. This trend comes up with its own set of challenges like

  1. Overhead effort in installing, setting up, maintaining and connecting with rest of the enterprise Data.
  2. Fragmented Data Science projects lead to lack of consistency, trust, duplication of effort and difficulty in collaboration.
  3. Leadership’s lack of ability to understand, estimate and monitor the Analytics costs across people and technology

The developed solution evaluates tools used by various departments and Data Science teams and provides a unified governance platform to access the tools under an approval-based ecosystem. This provides governed compute environments to ensure standardization; while on the other hand granting the Data Scientist flexibility to modify their own environment as necessary.

This platform also provides –

  1. Multiple different computes including Databricks, R-Studio, R Shiny deployed on Kubernetes
  2. Template based development environments with predefined libraries and variety of compute options
  3. Kubernetes based deployment helps pay per use while providing provision for on-demand scaling
  4. Ability to setup workflow-based approval process for various assets like Datasets and compute environments
  5. Access control for the compute and Datasets based on functional area boundaries
  6. Function and Project based setup for team collaboration.
  7. Cost vs. Usage reports to help resource administration and forecasting

Request a demo to find out how D Cube can help you to enable frictionless governance for the analytics lifecycle by allowing Data citizens utilize the footprint to its potential while enforcing controlled provisioning of Data and Infrastructure.


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.

Find out how D Cube can help you to elevate your market access intelligence and develop rigorous strategies that enable success in the market, throughout the product life cycle.


Reach out to us at info@dcubeanalytics.com for information and questions.

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