TIME TO INNOVATE
ON-DEMAND WEBINAR
Fujifilm: Making better data-driven decisions in science and engineering
Scientists and engineers working in R&D and Production are collecting more data than ever before. The challenge is to bring the data together from various sources, analyse it to discover trends and patterns, and make better data-based decisions.
Lilian Monahan from Fujifilm shares how exploratory data analysis enables continuous improvement of processes and allows non-data scientists to better understand and communicate their findings, while also getting a clear visualization.
She speaks about best practices in data exploration and data analytics. Monahan also shares a simple and efficient way of accessing, preparing, visually exploring, and analysing data from a variety of formats – including spreadsheets – to enable a deeper and better understanding of processes and products.
Key takeaways:
- Why accessing and preparing data for analysis is a crucial first step.
- How to speed up your analysis significantly and come to conclusions faster in an easy-to-use way, without coding.
- How to speed up processes with data-driven decision making, while saving time and money.
- How non-data scientists can interpret data more easily and make better decisions.
This presentation is for scientists and engineers who wish to quickly gain a deeper insight into the trends of their data and the impact it has on products and processes.
Presenter
Presenter: Lilian Monahan
R&D New Product Development Manager, Fujifilm
Dr. Lilian Monahan has studied chemistry at the University of Edinburgh and has worked in mass spectrometry and natural product synthesis at the Australian National University. She is also a member Chartered Chemist of the Royal Society of Chemistry and has worked in process development at AstraZeneca, Avecia, and Fujifilm.