In this episode we speak with Tony Laing who is the General Manager of Analytics & Data Services at Auto & General. We talk about:
what is the ‘nuts and bolts’ of analytics
what is the data supply chain required in organisations for the delivery of analytics/ML solutions
how to deliver quick wins and strategic projects concurrently
the journey to add significant value in an organisation through analytics
what questions to ask executives to kickstart their data science journey
why is there so much turnover in data science
why data preparation and model building is only 20% of the job
what type of model is the best to drive commercial outcomes
whether ML applied in specific domains is AI or not
the art of data preparation, increases in computing power and automation of data science
what is “the knife fight” of data science and what type of companies can benefit the most
how to use constraints to your benefit in data science
the 3 types of people you deal with when creating an analytics capability and how to bring them on the journey
differences between capability building and demand management stages of a team
why it’s important to stay hands-on throughout your career
I loved Tony's practical, delivery focused approach to creating value from analytics and a data driven culture in his organisation.
The theme of Tony's career is the establishment and rapid growth of highly profitable data mining and analytics practices within existing companies of all growth phases.
His specialties: Data Mining, Analytics, Statistical Analysis, Profiling, Predictive Modelling, Segmentation, Market Research, Consumer Insights, CRM, Competitive Intelligence.
Book mentioned: Data Preparation for Data Mining, by Dorian Pyle
Tony is based in Brisbane, Australia
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