National Manufacturing Institute Scotland

When excel won’t cut it anymore: taking the next steps for enhanced data analysis

This event has now ended. You can rewatch the webinar below, or visit our YouTube channel for all other webinars.

NMIS Insights is a series of online and face-to-face seminars from the National Manufacturing Institute Scotland (NMIS).

Escalating volumes of data and an increasing number of data sources are providing more opportunities for manufacturing companies to maximize the effectiveness of data analysis and reap the benefits of these insights for better decision making.

But how can you effectively analyse all of this data and find the key insights that, until very recently, were unachievable?  

This webinar will provide an introduction to tools and technologies, such as Python that will allow your data teams to better explore, extract and analyse your key manufacturing data.  

Aimed at mid to senior engineers and leaders in manufacturing businesses, this initial session will provide an overview of what advanced data analysis can look like and the many advantages that this can provide for your business.  

Two more advanced sessions will follow this one, aimed at the individuals and teams within your organisation who will be carrying out the data analysis. Here we will provide guided tutorials and a deeper look at tools such as dynamic language Python and how to use them for better decision making.

Registering for this webinar

Click ‘register’ to sign up for this webinar using Eventbrite.

A recorded version of the webinar will also be available to view after the event. 

Speakers

Andrew Hamilton is a senior research and development engineer within the AFRC's digital manufacturing team where he is focused on developing technologies for digital transformation of manufacturing processes in partnership with industry and academia. 

Working for the University of Strathclyde since 2013, Andrew has led projects within sensor systems and data analysis for industrial applications. Key successes include creating new data acquisition and control systems for aerospace manufacturing and MRO, data analysis for distributed sensor networks in agriculture, and developing machine learning systems for time-series data. 

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Dates & Venues

DateWednesday, April 29, 2020
LocationOnline - via WebEx
Duration11:30 - 12:30