Loading Map.... Macs Brew Bar4 Taranaki Street - WellingtonEvents -41.290168 174.78004269999997 Date/Time Date(s) - 27/11/20184:30 pm - 7:30 pm Location Macs Brew Bar Categories The NZ Analytics Forum invites you to our next Wellington event on Analytics in Action. This event will focus on operational analytics. Where: Cable room Mac’s Brewbar Function Centre, 4 Taranaki St, Wellington, 6011 When: Tuesday 27th November, 2018 Time: 4.30pm – 7.30pm Registration opens 4.30pm 4.30-5.30pm Networking, drinks and canapes provided 5.30pm – 7pm Presentations 7 – 7.30pm Networking Keynote speakers: Dr Todd Nicholson & Ernestynne Walsh, Nicholson Consulting, Morgan Cook, ACC Joanne Hacking, Joint Border Analytics Drew Broadley, Stats NZ Thanks to Nicholson Consulting for sponsoring this event nicholsonconsulting.co.nz Our speakers: Automated front line decision making at ACC Presenters: Dr Todd Nicholson, Principal Data Scientist and Ernestynne Walsh, Senior Data Scientist, Nicholson Consulting Abstract: The majority of ACC claims are accepted as they are lodged, thanks to a new system that reduces the time it takes for clients to find out what’s happening with their claim. The new system utilises a suite of statistical models that uses data from 12 million anonymised claims lodged between 2010 and 2016, to determine the probability that a given claim will be accepted. No claim will ever be automatically declined. This will support ACC to operate more efficiently and effectively, while providing greater certainty to injured New Zealanders. In this talk you will hear more about the process to build the frontline predictive models. Speaker Bios: Todd brings over 15 years of experience delivering transparent, simple solutions to complex business problems. He is an expert in data mining using SAS, and specialises in segmentation and predictive models that inform business decisions about individual people. He is also an analytics trainer for SAS in New Zealand and Australia. Ernestynne has extensive experience in looking at front line models in Government and recently spoke at Wellington AI group on what it takes to get data science ideas into production. This wāhine toa has been busy sharing our work this year, speaking at the signing of the Open Data Charter, delivering a guest lecture at the University of Canterbury giving advice for data scientists entering the workforce, and recently presenting the ACC work with practical privacy and ethics tips at the Chief Data Analytics Officer conference. Morgan Cook started at ACC as a claims officer and moved into case management before transitioning into the business analyst space. Her front line expertise and business analysis skills meant she was the go to person for this project that involved automated front line decision making. Now she has taken up a role as the digital product owner at ACC. Joint Border Analytics Presenter: Joanne Hacking Abstract: The Joint Border Analytics team was established in December 2016 for the purpose of using border sector data to better inform risk targeting at the border. The participating agencies – the Ministry for Primary Industries (MPI), the Ministry of Business, Innovation and Employment (MBIE) and the New Zealand Customs Service – have been working together to gain new insights into border risk through the use of analytics software and data sharing. The Joint Border Analytics team is hosted by the New Zealand Customs Service in Auckland Customhouse. Speaker Bio: Jo is the Manager of the Joint Border Analytics team and has been leading the establishment of this innovative cross-agency analytics capability since late 2016. Before that, Jo held operational leadership roles within NZ Customs. As a lapsed lawyer, Jo has a keen interest in the safe use of data and analytical outputs and as a former prosecutor, Jo is passionate about delivering effective analytical products to operational teams for the purpose of keeping New Zealand safe. Jo is the Founder and Chair of the Government Analytics Network and will chair the Border 5 Data Analytics Working Group in 2019. Taking a data product to market Presenter: Drew Broadley Abstract: Drew will talk about the technical ups and downs of bringing together a data product to the market. The things you may consider, and others you may not have. Speaker Bio: The service industry is where I started my first business and spent many late nights dropping leaflets under doors in business districts to acquire customers. After a lot of hard work, I ended up working with, building and leading fantastic teams at digital agencies executing the innovation and creation of digital campaigns. Further delivering exciting returns on investment to their stakeholders for names like BP, Coca-Cola, Spark (then Telecom), Loyalty NZ (Fly Buys), Air New Zealand, All Blacks and Education NZ. Achieving my personal goals in the service area, and learning how teams work and execute under tremendous pressures, I wanted to learn about building a product company. This started with being awarded business scholarships, winning NZ Innovator awards, acknowledged in the top four under forty to watch by Idealog, and building a product to acquisition by an overseas company. I’ve taken a turn many people were surprised by recently, and started working in government as a public servant. Two roles so far have been leading the development of the first digital offering at ACC for people who have injured themselves, and then Executive Director of Data Ventures @ Stats NZ to build commercial ventures using Stats NZ reputation and IP. This has been an enormous learning about leading these opportunities inside organisations that have a legacy that pre-date me being alive and decisions that have been made outside of your term. Please note: The event is free but requires a booking. Due to the limited number of seats available, we recommend that you book early and request that you make this unique opportunity a priority. If after booking you are unable to attend, please cancel your booking so that others can participate. Bookings This event is fully booked.