Advanced Analytics Network Symposium

ADAN - the Advanced Analytics Network - aims to help identify, develop and disseminate research industry best practice in the general area of advanced analytics.

This covers mainstream multivariate approaches such as conjoint and regression, through to more recently adopted techniques such as random forests and cluster ensemble analysis. We also aim to lead the way within the research industry in identifying optimum approaches for analysing multiple source data.

In this second ADAN innovation symposium, a range of speakers will present three short papers that each demonstrate an innovative application or development of multivariate analytical techniques (shown specifically in relation to research data).

The themes of the presentations are:

• The application of Non-Negative Matrix Factorisation as a segmentation tool
• Integrating research and transactional data to predict future performance in the telecoms category
• The impact of using factors versus individual items as inputs in cluster analysis

Each paper will run for 15 minutes followed by 15 minutes for a Q&A with the presenters. Our members are from a variety of backgrounds, so the presentations will not be overly technical (we will avoid equations!) There will also be time for networking.