Algorithms of the heart

Editor's Notes

• #2: .
• #3: Most people will say, no this is not possible, The heart has no master despite what reason may think!
• #4: All of these form the givegraph. A huge collection of people, places and causes from all over the world and how they're connected to one another. It understands the details of what a cause is about, who it supports and what it does for the people, animals or areas that they are supporting. The givegraph shows us that what we care about changes with time. It changes as the context and strength of our relationships change. We have high ambitions to transform the way you and I give and interact with the causes that we care about and the givegraph is a huge step towards that. With this technology, we have a really exciting opportunity to learn how to help those great causes out there get the funding thing they need. It enables us as humans to group together, to collaborate and solve some of the greatest problems out there. It learns about us through each interaction and simultaneously builds an understanding of each cause enabling us to match people with the causes that they care about. Our requirements Complex problem Algorithms on large data set Edge of science Graph Enterprise requirements Test driven development Robustness Security Stephen sutton/Clare squires
• #5: Understanding and targeting consumers Optimising business processes Increasing sales Financial trading Sports Health Security and law enforcement https://www.linkedin.com/pulse/20131113065157-64875646-the-awesome-ways-big-data-is-used-today-to-change-our-world Big data is being used for more sales, for operational efficiencies, from moving from segmentation to microsegmentation. – slide 2 See what Hadoop say, AZURE etc, segment of one and many marketers that I speak to do not like this
• #6: Finding the needle in a haystack Actually have developed a process that allows you to do that That one number that when you change it fundamentally changes your businesses Fundamentally grows your numbers – its not an 18 month process. Big data is being used for more sales, for operational efficiencies, from moving from segmentation to microsegmentation. – slide 2 See what Hadoop say, AZURE etc, And I think that you can find this. We have developed a process that within two weeks finds you that leading indicator to get you you that one number and we are finding lots of organisations looking for that distsinctive capability that when they move it – changes everything.
• #7: Most people will say, no this is not possible, The heart has no master despite what reason may think!
• #8: Primarily rational decision making if I buy this then that – most algorithms are left brain algorithms in that they are still pretty logical explicit and a little crude, can algorithms help with right brain – activity.
• #9: Primarily rational decision making if I buy this then that – most algorithms are left brain algorithms in that they are still pretty logical explicit and a little crude, can algorithms help with right brain – activity.
• #10: What about these types of decisions?
• #11: Even these simple data points will get us closer to an answer - These three data points combined with sentiment data, what we share on social media can really begin to expose many of behaviours of the heart.
• #12: This is the key - this is the reason as to why this is possible. This is were we can see what data points impact what we feel. Lets go into a use case of an organisation that has done exactly this.
• #13: This is the wrong picture Big data unlocks the actions of our hearts! science of how our emotions work
• #15: .
• #17: Our vision
• #18: The process quick, the process is simple and incredibly effective at getting people to rally around something that they believe in and support it.
• #19: And fundraising is changing. Its no longer just about the marathon. Anyone who wants to show their support is doing so by a range of really creative activities. Everyone knows about the ice bucket challenge, but people are raising money when they get married or on their birthday instead of accepting gifts….Tony the fridge carried fridge on his back whilst running a marathon. Others are growing beards, giving up cheese. Its really exciting to see what people are doing these days to raise money for something that they care about. Whilst fundraising is changing,
• #20: Giving isn’t. Every other industry has moved on significantly yet giving is still very much the same. So little has changed, giving is still very transactional. Many give and then disappear and forget. To achieve our ambitious goals we need giving to move from being transactional to being more engaging and personal. To do that there two pillars that we need to build. The first is that we need to be social.
• #21: Our vision
• #22: Our vision
• #23: We tried the traditional approaches Traditional way – what every CRM tool will give you….. 1. RFM 2. Segmentation 3. Survivorship curves 4. Next action model 5. Collaborative filtering 6. Regression analysis
• #24: Giving is intuitive - Relationships matter Understood which hormones could be stimulated and which data points enabled that
• #25: This is good news for big data. The challenge of using data and analytics to influence behavioral change is made easier if the desired behavior is a natural human reaction
• #26: Nicholas Christakis, graph theory, connections, associations tell us a lot about who we are and what it important to us.
• #29: All of these form the givegraph. A huge collection of people, places and causes from all over the world and how they're connected to one another. It understands the details of what a cause is about, who it supports and what it does for the people, animals or areas that they are supporting. The givegraph shows us that what we care about changes with time. It changes as the context and strength of our relationships change. We have high ambitions to transform the way you and I give and interact with the causes that we care about and the givegraph is a huge step towards that. With this technology, we have a really exciting opportunity to learn how to help those great causes out there get the funding thing they need. It enables us as humans to group together, to collaborate and solve some of the greatest problems out there. It learns about us through each interaction and simultaneously builds an understanding of each cause enabling us to match people with the causes that they care about. Our requirements Complex problem Algorithms on large data set Edge of science Graph Enterprise requirements Test driven development Robustness Security Stephen sutton/Clare squires