Capturing Value from Big Financial Data by MARCELO SORIA-RODRÍGUEZ at Big Data Spain 2013

Financial data is an underutilized asset, one that focused properly can bring new opportunities to financial institutions and third parties alike. It is critical to understand that the creation of new opportunities, or the creation of new business value, is key to the successful adoption of the current and coming crops of big data solutions.

Transcript

1. Capturing Value from Big Financial Data Marcelo Soria-Rodríguez
2. capturing value from big financial data big data spain madrid, movember 7th, 2013 marcelo soria-rodríguez marcelo.soria@bbva.com @msoriaro http://www.linkedin.com/in/marcelosoriarodriguez
3. 2 this is not a talk about big data
4. 3 neural networks pattern recognition machine learning text mining emotion detection…
5. 4 (it’s a brain)
6. 5 (foto de Lyne y Manuel) maximize biological value
7. 6 extract the right value from data value
8. 7 data? where’s the data I care about?
9. 8 life is data
10. 9 0 1 1 0 0 1 1 1 0 0 1 1 1 1 1 0 0 1 1 1 0 1 1 1 0 1 1 0 0 1 0 0 1 0 0 1 1 1 0 1 1 0 0 1 0 1 0 0 1 1 1 1 1 0 0 1 1 1 0 1 1 1 0 1 1 0 0 1 0 0 1 0 0 1 1 1 1 1 0 0 1 1 1 0 1 1 1 0 1 1 0 0 1 0 0 1 0 0 1 1 1 0 1 1 1 0 0 1 1 1 1 1 0 0 1 1 1 0 1 1 0 0 1 0 0 1 0 1 1 1 0 0 1 1 1 0 0 1
11. 10 0 1 1 0 0 1 0 1 0 0 1 1 1 1 1 0 0 1 1 1 0 1 1 1 0 0 1 0 0 1
12. 11 26M transactions / day
14. 13 how should I do this?
15. 14 start small
16. 15 explore à learn à convince à explore with more money à learn more à build exciting products/projects
17. 16 credit access
19. 18 15% 40%
20. retail
21. 20 Sector My customers Area What does a retailer really know? My customers in other sectors & areas? Non customers in other sectors & areas My customers in my sector & area? My customers in my sector? My customers in my area? Non customers in my sector? Non customers in my area? Non customers in my sector & area?
22. 21 Sector My customers Area Crosselling Diversification Diversification Loyalty Expansion Expansion Opening hours New portfolio Offers Crosselling What does a retailer really know?
23. 22 some early explorations…
24. 23 Average distance covered by Madrid customers of a given chain to purchase at stores of the chain
25. 24 Recurrence for a given chain Distribution of recurrence vs. distribution of spending for each recurrence level. Recurrence for a given chain Distribution of recurrence
26. 25 Market share for a given chain by purchase zip code.
27. 26 … that drive exciting products (we’re building products based on all this!)
28. urban data services
29. 28 world 2011-2012 spending in Madrid by nationality Download tourism report for Madrid here: http://bit.ly/1bKPwtS
30. 29 country Watch the Easter 2011 financial transactions in Spain video at: http://www.youtube.com/watch?v=Zel6wych9p0 country
31. region
32. neighbourhood Madrid, Gay Pride festivities
33. Madrid, Gay Pride Increase 2012 vs. 2011 13,8% -0,8% 9,1% 3,7% 9,8% 4,01% 23,62% 19,48% Increase in 2011 vs .control week in 2011 # stores comparison week 2011 event week 2011 event week 2012
34. 33 number of transactions per street, event week Madrid Gay Pride street
35. 34 comparison with control week (number of transactions) Madrid Gay Pride street
36. 35 open?
37. 36 open? what if we become a platform?
38. 37 open [data API] :-) open challenge: datathon! à (visit room 8 at 5pm today!)
39. thanks! marcelo soria-rodríguez marcelo.soria@bbva.com @msoriaro http://www.linkedin.com/in/marcelosoriarodriguez