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Digitalization & Analytical Data

May 12, 2022

May 12, 2022

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.

Webinar II—A Practical Guide to Digitalizing Analytical Data Management

Presenter: Richard Lee

Thursday, May 12th, 10:00 EDT | 15:00 GMT | 16:00 CET

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.

Watch Webinar 2

Webinar I—Digitalization of Analytical Workflows: Strategies for Success

Presenter: Andrew Anderson

Tuesday, April 5th

In this first webinar of the series, we will share practical strategies for the digital transformation of analytical data.

When is the right time?
Are you waiting to make decisions about standardizing your data or aligning various workflows or processes?

Where do you start?
Analytical data supports numerous processes and workflows from discovery through manufacturing. How do you tackle digitalization of this diverse, high volume data that is used is so many different ways?

Is cloud the answer?
IT teams are pushing for data to move to the cloud where it’s accessible and space is “unlimited”. Are there any downsides you need to consider?

Join us as we discuss these questions and more so you can align your analytical data digitalization aspirations with business goals and IT’s objectives.

Watch Webinar 1