Scientific Data Management System

In part 2 of this series, we outline the 7 groups of performance metrics tracked in R&D and break down KPIs & metrics measuring: Innovation; Time-to-Market; Financial; Cost; Safety, Regulatory, & Compliance; Product Improvement; and Talent & Service

In Part 1, we explore the challenges companies face when tracking and applying R&D-related Key Performance Indicators (KPIs). We discuss issues such as the lack of familiarity with relevant KPIs, scattered and unstructured data, and absence of proper

Artificial Intelligence (AI) is transforming the way R&D teams work and the manner in which research and development teams operate. AI technology, when implemented properly, can significantly drive innovation. Discover the top 5 ways AI can help R&D

What is Scientific Data Management System “SDMS” Software, and how does it work? This blog explains the key elements of SDMS solutions, common industries and use cases, key benefits, and how it differs from data management systems like LIMS and ELNs