Like many research and development (R&D) organizations, this global biotechnology company operated in a paper-based environment. Research data was captured in Excel documents and printed and pasted into notebooks making it hard to know where specific information was recorded. Past experiments were not easily searchable with standardized formatting, contributing to a 25% duplication of work rate across the lab.
Data reports were usually sent via email. Manual input, search and reporting was time consuming and encroached on valuable research. In addition, it was becoming costly to rely on microfilm scanning as a method of capturing and storing IP.
The company wanted to boost data management efficiency in its molecular biology division and make the results searchable by defining a common way of documenting experiments. With plans to start a new product line, the company took the opportunity to find a solution which could automate its data.