Alan McMahon will be speaking at the Food and Drink IT Summit 2016
Post Event Update
“From attending various presentations and observing the exhibitor stands, it is clear that Analytics is now very much part of everyday language in the food and drink industry. Even so, it extends to more than visualisations and monitoring reports. From predictive models for fraud in restaurants to predictive maintenance of energy meters, advanced analytics is being used in creative ways to reduce costs.
It was a pleasure for me to be able to speak on behalf of Presidion about how organisations, who have more data than ever, and more access to advanced techniques than ever, can make sure they do advanced analytics in an optimal and sustainable manner.”
– Alan McMahon, Senior Analytics Consultant at Presidion
Alan McMahon, Senior Analytics consultant at Presidion, will be speaking at the Food and Drink IT Summit in Birmingham on the 5th of July.
As a Senior Analytics Consultant working with Presidion for the last 11 years, Alan has extensive experience of the design and implementation of applied predictive analytics. He has particular expertise as a solutions architect, helping customers to identify their main business objectives and designing appropriate and efficient analytics solutions to achieve these, mapping client’s needs and goals to drive a successful project outcome.
Applications in Predictive Analytics and the key ingredients for successful business transformation.
From maintenance operations in Manufacturing and Supply Chain Optimisation, to tailoring marketing offers to individual customers, see how companies are using predictive analytics throughout their business to generate significant ROI. Alan McMahon, Senior Analytics Consultant with Presidion, will provide some exciting examples of Predictive Analytics in action in the Food and Drink industry. Alan will also share some of his 11 years of experience running predictive analytics projects to help you to understand what mistakes to avoid when starting out with Predictive Analytics.
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