The first 2014 Analytics Forum event in Auckland will take place as follows:

Monday 24 Feb 2014. 3:00-6:00pm
Main Dining Room, Old Government House, University of Auckland (Old Government House is between Princes and Symonds Streets, towards the Waterloo Quadrant end.)

Places are limited and filling up fast, so you need to register by signing into our Analytics New Zealand Wiggio site and taking the “24 February NZ Analytics Forum attendance” poll. If you are not already a member of our Wiggio site, please sign up.

Operations Research Society of NZ Faculty of Engineering, University of AucklandThis event is proudly sponsored by the Operations Research Society of NZ and the Faculty of Engineering at the University of Auckland, in association with the free optimization tools for Excel, OpenSolver and SolverStudio, developed in Engineering Science at the University of Auckland.

The event will be in conjunction with the Auckland 2014 Optali Workshop, and the theme will be “War stories from Analytics”.

We have 3 industry speakers lined up who will be talking about their practical experiences working as Analytics professionals in companies such as The Warehouse, Telecom, Vodafone, and Norske Skog.

Big Company Analytics: Vodafone, Telecom and The Warehouse
Katherine Davies
Senior Product Analyst – Wholesale, Telecom New Zealand
Katherine has extensive experience in the practical application of analytics in both the telecommunications and retail sectors. Her work in telecommunications began with a role as a Project Analyst at TelstraClear. Following Vodafone’s acquisition of TelstraClear, Katherine joined the Vodafone analytics team where she spent 5 years as a Business Analyst, Commercial and Pricing Analyst and a Senior Commercial Analyst. Her projects at Vodafone included detailed modelling and prediction of customer behaviour and data analysis to support pricing optimisation decisions. Katherine has also worked at The Warehouse in the Customer Insights team where she was involved in market share analysis, competitor pricing analysis and reporting on the effectiveness of promotional actitivity. Katherine is currently at Telecom NZ, where she developed models to support Telecom’s SARC (subscriber acquisition & retention cost) and CLV (contract lifetime value) programmes before moving into a product analysis role in Telecom’s Wholesale division. In this talk, Katherine will share some of her experiences in applying analytics at these large NZ organisations.

Norske Skog: Selling Analytics within a Multinational
Graeme Everett
Energy Manager, Norske Skog Tasman Ltd
Graeme Everett has nearly 30 years experience working at the Kawerau Pulp and Paper Mill, formerly part of Fletcher Challenge and now a division of the Norwegian-based Norske Skog company. Norske Skog Tasman supply most of NZ’s newsprint requirements and also exports to Asia. The mill is one of NZ’s largest industrial power users. Graeme has been involved in numerous analytics project that range from production planning, electricity generation, and market analysis to the development of strategic investment models that were used by the Norske Skog head office to rationalise their international capital base. This latter work generated annual savings of US$120 million, and was recognised internationally when Graeme’s team was selected as finalists for the 2009 Franz Edelman award. Graeme will discuss lessons learnt from his experiences, including the challenges that arise from working as a sole practitioner in a large international company faced with declining demand for its products.

Why good projects go bad and what you can do about it
Per Thorlacius
Danish State Railways, and the Danish Technical University (DTU)
It’s a fact of life that no matter how good a data driven decision making project seems to be at start up, some projects just go bad. In order to be able to distinguish good from bad, and in order to regain control of a project that is not on track, we need to explore what can go wrong in projects and why. In this talk I will present personal and subjective views on projects that have ended badly based on my own experiences in the airline and railway industries. I will outline different projects, their characteristics and their organizational dynamics and attempt to synthesize general causes for why these good projects went bad and how they did so. I will close with reflections on the steps we can take to help keep analytics projects on track.

This event is open to anyone who uses analytical models to make decisions in their workplace. However, places are limited, so please ensure you follow the registration instructions above.

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