A Practical Guide to Digitalizing Analytical Data Management
Wires tangle behind lab benches and instruments, WIFI signals travel through the air. Transferring data all day every day. Your lab is a digital lab!
Perhaps due to its diversity and volume, or because scientists find it difficult to map to business objectives, analytical data is rarely a priority in digitalization projects.
In this webinar series we will help you make analytical data part of your digital transformation journey. Forget the buzz words and focus on what you need and how to accomplish it.
In this second webinar in the series, we will help you breakdown the task of evaluating your processes and technologies. With an understanding of your practical requirements, you will be able to:
Evaluate your systems and processes
Identify infrastructure gaps related to analytical data workflows. Plan for necessary system integrations. Understand data processing needs and requirements regarding normalisation and abstraction.
Decide where automation should play a role
Understand what data accessibility points you need
Define your requirements
Anticipate support and maintenance needs
Join us so you can create transparent, robust data workflows from source to destination, and everything in between.
Who should attend?
- Scientists - you manage analytical instruments/are interested in how analytical instrument are set up and maintained/analytical data is critical to your work
- IT Whisperers - you liaise between scientific groups and IT teams when choosing software or defining requirements
- Data Scientists - you're interested in how analytical data can benefit from 'Big Data', 'the cloud', and 'machine learning'
Presenter: Richard Lee (Director, Core Technology, ACD/Labs)
Host: Sanji Bhal (Director, Marketing & Communications, ACD/Labs)
