Advancing Digital South Yorkshire


Discovery: Data insights with advanced analysis

The Senture facility houses computer server operations that support the full-service, 24/7 contact center's headquarters in London, Ky, on July 14, 2011. Senture recently built a new facility to accommodate current and future growth, through Rural Development's (RD), Rural Economic Development Loan Program. Senture received funding to build the new facility with funding administered through Jackson Energy Cooperative,. USDA Photo by Lance Cheung. Original image from Flickr

About this session ...

In today’s rapidly evolving technology landscape, understanding the power of data analytics and machine learning is an option many are now considering. Join us to expand your knowledge and learn about the transformative potential of machine learning and data analysis technologies across diverse domains. The convergence of data insights and advanced analysis has the potential to revolutionise industries, from optimising urban infrastructure in smart cities to refining marketing strategies and enhancing emotional well-being. By joining this session you will see work led by post-graduate students that shows how contemporary technologies can be applied to a diverse range of problems settings.

This session will run in the morning of September 1st, 9.30 – 12.30 (Sheffield Hallam University, city centre campus) 

You will leave the event with a greater understanding of how technology can support understanding the value in data, and approaches you can explore with data relevant to your business.


  • Smart Cities: We are working with city and living space data to help identify crime and accident patterns and also energy efficiency in UK housing.

  • Data Security: We are exploring how machine learning can be used to understand fraud.

  • Email Marketing: See how email marketing strategies can be informed by the statistical analysis of customer engagement.

  • Health Wellbeing: We are exploring how machine learning can inform our understanding of depression and emotion in social media. We are examining how health data can be used effectively without compromising security and confidentiality concerns. 

Who should attend?

  • Anyone interested in finding out how data analysis and machine learning can be applied to real-world data 
  • Anyone interested in seeing post graduate project work in Big Data and Data Analytics