International Day of Charity

Webinar: How to get the most out of your charity data
Monday 7th September 2020
12:00pm – 1:00pm AEST (2:00pm-3:00pm NZST)

International Day of Charity is to raise awareness and provide a common platform for charity related activities all over the world for individuals, charitable, philanthropic and volunteer organizations. So often at Data4Good we get asked about what charities/not-for-profits/NGOs can do to incorporate data into their decision making. With the UN’s International Day of Charity coming up we thought it would be a great idea to share some insights from experts we know in the charity field who have been successful in making an impact with their data.

 

Speaker Bios:

 

Sam Ovais

Sam Ovais is the Fundraising Business Improvement Manager for PCYC NSW. He has spent the last 4 years championing data projects that lead to key insights into fundraising and marketing activities using limited resources. Sam will be talking about getting started on your organisation’s data journey by laying some foundations and getting some quick wins along the way.

 

Tom Schlosser

Tom Schlosser is the Head of Systems, Data Analytics and Innovation at ChildFund Australia. He manages a small team of developers, system admins and data analysts who use Salesforce, SQL Server and PowerBI amongst other tools to capture data from our Marketing and Programming activities and deliver insights to people across the organisation. He is a data analyst at heart, with experience applying models to real-world problems to provide insight and evaluate impact. He’s previously worked at Crisis UK, a homelessness charity in the UK, and the Australian Bureau of Statistics, amongst a number of other government and NGOs.

Tom will be speaking about:

  • Data hoarding to data insights – it’s so easy to collect data in the 21st century, how do you make it useful?
  • Data modelling – the boring bit we all skim that we really shouldn’t
  • Reporting and analysis – getting to the bottom of what people really need in a world where our understanding of useful data is still emerging

 

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