Veeva Nitro and AWS SageMaker for Life Sciences Data Scientists

Introduction

There is a rise in industry-specific data analytics solutions because building up and maintaining custom data warehouses is difficult. It requires extensive development and operational efforts to define the appropriate industry-specific data model for the business intelligence tools, follow all the shape changes over time (new tables, new columns, new relationships) and design the ETL processes for a wide variety of data sources. It is just hard to build a solution on top of a generic data warehouse where you can get great platform capabilities but you still have to start with a CREATE DATABASE SQL command.

This is the reason why Veeva decided to build Nitro, the data science and analytics platform. It is designed to accelerate time-to-value by getting data quickly from Veeva Commercial Cloud (CRM, Vault, Align, Network)  and other common life sciences platforms (e.g. Salesforce Marketing Cloud) into Nitro using predefined intelligent connectors. 

Modern Cloud Data Management

What Is Cloud Data Management?

Cloud data management is the implementation of cloud data management platforms and tools, policies, and procedures that give organizations control of their business data, both in the cloud and in hybrid setups where data is stored or sourced in a combination of on-premises and cloud applications.

The ever-growing list of cloud applications and tools being adopted by enterprises is leading to an exponential growth in data — whether structured, unstructured or semi-structured. Because this data is a critical asset for modern enterprises, managing it has become a strategic imperative, especially as the numbers of data users increase, the quantity and types of data increase, and the types of business processes evolve.