We return this series with Elias Hadaya, Director of Insight and Research at World Vision Canada. I spoke to him about the ways in which Big Data is driving causes for NGO’s. For Elias, it was finding a way in which to understand their donors, what drives them, and creating better donor experience practices in his organization.
World Vision is a Christian relief, development, and advocacy organization working to create lasting change in the lives of children, families, and communities to overcome poverty and injustice. Inspired by our Christian values, World Vision is dedicated to serving all people. Donors, fundraisers, and passionate advocates are critical to World Vision’s operations. In Canada alone, more than 400,000 people sponsor underprivileged children through World Vision.
Big Data has become a market disruptor in more ways than one. As data increasingly becomes a product rather than strategy, it’s also changing the rules. Social and gender equity in Big Data are at the top of the discussion.
For our second interview of out #DataHeroes series, Inmar Givoni, VP Big Data for Kobo talks to us about social equity and tech. Inmar Givoni is VP of Big Data at Kobo Inc. where she leads her team in applying machine learning and big data techniques to drive ecommerce in e-readers business. Inmar is one of the leading experts and academics on Big Data, she is also a woman, computer scientist, and so much more. #WomenInTech #ILookLikeADataScientist
Big data refers to collected data, from varying sources, for the use of business strategy and policy design. But what challenges could arise for the Great North? For our first edition of #Datahereos series, we interviewed Jan Kestle from Environics about the particular challenges of a data-driven strategy. It might surprise you to know, even American markets are taking note of Canada’s privacy friendly solutions to data.
Jan Kestle is the Founder and President of Environics Analytics and has been a leader in the marketing information industry for more than forty years.
An expert in using statistics and mathematics, she finds value in data for a multi-faceted clientele.