Given the text: ​A BioPharma company that leverages it's operational data with clinical trial analytics is likely to get it's drug to market faster—potentially resulting in more revenue, increased market share, and improved patient outcomes.
This global pharmaceutical organization had grown through a series of significant acquisitions. Its therapeutic area business units functioned autonomously with their own methodologies, data management systems, and CROs, which made accessing reliable portfolio information difficult.
Deloitte implemented an analytics platform that collects R&D operations data from over 60 internal and external sources and enables stakeholders to quickly identify issues and traverse from portfolio- to program- to study- to site-level detail.
How did an analytics platform implemented by Deloitte enable stakeholders to quickly identify issues and traverse from portfolio- to program- to study- to site-level detail?
Given the text: ​A BioPharma company that leverages it's operational data with clinical trial analytics is likely to get it's drug to market faster—potentially resulting in more revenue, increased market share, and improved patient outcomes.
This global pharmaceutical organization had grown through a series of significant acquisitions. Its therapeutic area business units functioned autonomously with their own methodologies, data management systems, and CROs, which made accessing reliable portfolio information difficult.
Deloitte implemented an analytics platform that collects R&D operations data from over 60 internal and external sources and enables stakeholders to quickly identify issues and traverse from portfolio- to program- to study- to site-level detail.
How did an analytics platform implemented by Deloitte enable stakeholders to quickly identify issues and traverse from portfolio- to program- to study- to site-level detail?
user
The analytics platform implemented by Deloitte collects R&D operations data from over 60 internal and external sources, which enables stakeholders to quickly access reliable portfolio information. From there, stakeholders can identify issues and traverse from portfolio- to program- to study- to site-level detail. This helps them to make informed decisions about the drug development process, potentially resulting in faster drug development, increased revenue, improved patient outcomes, and increased market share.
assistant
Can you tell me more about how Deloitte's analytics platform collects R&D operations data from internal and external sources?
user
I do not have access to the specific technical details of how deloitte's analytics platform collects r&d operations data from internal and external sources. However, I can provide some general information on how analytics platforms typically work.

analytics platforms typically collect data from various sources such as databases, spreadsheets, and other software applications. This data is then processed and analyzed using various statistical and machine learning algorithms. By leveraging these algorithms, the platform is able to identify patterns, trends, and insights in the data that can help stakeholders make informed decisions about the drug development process. 

in the case of deloitte's analytics platform, it likely collects r&d operations data from a variety of internal and external sources such as clinical trial management systems, electronic health records, regulatory databases, and more. Additionally, the platform may use machine learning algorithms to identify key indicators that signal potential issues in the development process. The ability of deloitte's platform to collect and analyze data from multiple sources enables stakeholders to make informed decisions about the drug development process across all levels of the organization.
assistant