Pharmaceutical Research and Development Data Integration Platform Development Support

In the pharmaceutical industry, as there is a need to speed up the development of new drugs, an increasing number of companies are considering the use of data obtained from various scenes throughout the drug life cycle. Overall data management is required.

On the other hand, systems related to research and development have traditionally had relatively weak controls and have been enhanced based on individual needs, resulting in many cases where data and code are inconsistent across systems.
In addition, there is a lack of consistent linkage between key codes (e.g., products and compounds) and activities (e.g., themes, projects, tasks, and protocols) from the early stages of research through development, production, and post-marketing, which is a major impediment to data utilization. 

B-EN-G provides support throughout the product lifecycle, from concept formulation to policy review, system construction, and operational support, in building a research and development data integration platform that helps improve and speed up the development process of new products.

Aim of R&D Data Integration Platform

We aim to improve and speed up the new product development process by achieving the following:

• Reducing wasted time related to data handling (searching for information, checking data)
• Reduce the risk of data inadequacies by improving data quality
• Improving users’ ability to utilize their own data
• Reduced system TCO
• Improving the speed of system response to business changes

Concept of R&D Data Integration Platform

• Centralized management of key codes related to research and development
• Aggregation of plan and actual data linked to key codes
• Visualization of information connections (compounds to products, etc.) and data exploration
• Data governance (rules, procedures, workflows, etc.)
• Loose coupling between systems

Diagram of R&D Data Integration Platform

B-EN-G's Services

We provide support throughout the life cycle of research and development data integration infrastructure, from concept formulation to policy consideration, system development, and operational support.

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