All you need to know about the #Dare2Data presentations
1. Dare2Data Presentation
Marisol Menéndez and Elena Alfaro, from BBVA Open Innovation and BBVA Data & Analytics respectively, were in charge of the welcome to #Dare2Data and explaining some of the innovative projects that BBVA is working on with Big Data.
2. Handanling Data
“We have to know our customers better than their own families do. It's not a question of personalization but of hyper-personalization: it's not enough to know what they want, but when and how they want it". This is the mantra to be pursued by each data project.
3. Monetizing Big Data
Raffensperger's presentation revealed some of the tricks needed to start obtaining the return on investment so longed for in a data project.
4. Predictive models
This is the foundation necessary to draw up a good predictive model. And just so everyone could understand, in his presentation Gerster demonstrated how to find significant patterns in data using a practical example of different flower species. Don't miss it!
5. Data and Physics
The most scientific presentation was given by Matthias Braeger, software engineer at CERN; an interesting proposal for the use of data from an institution as noteworthy as CERN.
The Large Hadron Collider (LHC), the largest machine in the world, generated 30PB in 2012 alone, the current total being over 100PB of data. In his presentation, Braeger explained how all these data are processed.
6. Creating value with financial data
“What can we do to generate interconnections and new values using the data?” This question, posed by Marcelo Soria, Vice President of Data Services at BBVA Data & Analytics, highlights the fact that practically everything in our midst and everything we do generates data.
However, these are "not free-flowing, but rather contained in silos and disconnected from each other, thereby being useless to provide value". In the presentation, Soria used examples of BBVA data projects to demonstrate how to obtain the value in data.
7. Introduction to Cloud Platform and BigQuery
If you need to work with this tool, follow the presentation by Sebastien Agnan, Solutions Engineer Search at Google, who will provide you with clues on how to capture, store, process and analyze data.
As explained by Agnan, who counts on support from Jon Lorenzo, Head of Cloud Platform Iberia, BigQuery opens the possibility of capturing data in real time from all types of devices (cell phones, wearables, sensors, etc.) and analyzing them.
8. Mapping technology
In his presentation at the conference, Paul Ramsey, Solutions Architect at CartoDB, focused on visualization with multiple attractive examples of how different groups of data can be viewed.
Chema Alonso and Pedro Pablo Pérez, from Eleven Paths (Telefónica), led the audience into the world of cybercrime and cybersecurity. The key to this setting is the "intelligence" applied during processing and analysis. "All the information has to be converted into intelligence, whether the data is structured or not".
In their highly humorous presentation, Chema and Pedro described the process used to detect irregular behaviors and how similar characteristics between anomalies are investigated to connect a detected malicious app with other registries by combining data and singular models.
10. From data to the product
The key is knowing how to formulate complex questions that frequently require cross-functional knowledge. This, in turn, requires having multi-disciplinary teams on hand, since a mathematician will see the data from a different viewpoint than an engineer.
11. Round Table: Digital teams: new profiles in Big Data projects
To learn about the five roles that should be included in a good Big Data team, you can find all the necessary clues in this round table, held by Jose Antonio Gallego and Carlos Kuchkovsky from BBVA, along with Daniel González from Redbility, and José Luis Noriega from Beeva.
A first key: the most essential professions will continue to be statisticians, mathematicians, analysts, and engineers in order to add value to these data.
12. BigQuery and Google Analytics for e-commerce
The CEO of Teowaki, Javier Ramírez, focused his presentation on providing essential points on how to improve e-commerce platforms by using tools like Google Analytics and BigQuery.
An expert in the field, Javier analyzed both tools to reveal their advantages and disadvantages.
13. Visualization of data from multiple sources
The presentation by data journalist Jesús Escudero dealt with his project, called Development aid. This journalistic project required four months of research to detail the 22 billion euros spent by Spain on cooperation projects between 2007 and 2012. Don't miss the presentation by this journalist, computer graphics specialist and data analyst.
14. How each datum can become art
Pau García, founder of Domestic Data Streamers, goes one step further by taking Big Data to the world of art, by setting up interactive cultural events where the essential item is the information.
Is there only one way to read data digitally? No. Pau is not only convinced of this, but demonstrates it with a series of very didactical examples.
15. From fraud prevention to Web optimization
"Today all the companies in the world are trying to do data-driven business. To illustrate the point, David Montag, software engineer at Neo Technology, presented several success stories on the use of Neo4j.
Standing out among these is eBay, which uses it to plan e-commerce service routes; Walmart analyzes each sale of a product to "understand what kind of items you like to buy and what kind of products it can recommend to you”; or for example Cisco, which thanks to Neo4j offers solutions that are tailored to its customers.
To see the entire event, please watch the video here.
Go to this YouTube playlist by the BBVA Center for Innovation to watch all the videos associated with the InnovaChallenge Data Week.
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