What Does Wind Look Like?

Jordi Aranda

Data Processing

In our recent collaboration with United Nations Global Pulse to measure the economic impact of natural disasters we analyzed purchase behaviors when Hurricane Odile struck Baja California Sur in September 2014. As part of the study we visualized the strength of the winds and showed how the hurricane initially formed until finally making landfall. In this article I describe how we …

Data For Social Good

Jerry Finn


Although governments usually lag behind businesses in adopting new management techniques, many are starting to pay attention to the value of big data. Of course this may be because analytics has had a greater impact on the field of microeconomics and policy makers have traditionally relied more on macroeconomic analysis. We have been a leading company in applying big data to macroeconomic …

Introducing Commerce360

Jerry Finn and Juan Carlos Plaza Alba


With the rise of information-driven companies such as Google, Facebook and Amazon, it has become almost cliché to say that a company’s most valuable asset is its data, but it’s hard to deny that the more data a business has on its clients, the greater advantage it has over its competitors. This has put small businesses at an even greater …

The Competitive Necessity of Transaction Categorization

Jerry Finn and Jose Antonio Rodriguez Serrano


‘La revolución de las pequeñas cosas‘, or in English ‘the revolution of the small things’. That’s the slogan of BBVA’s ad campaign in Spain highlighting the digital transformation of the bank and the design of its services to promote an experience based ‘peace of mind’ and ‘time well spent’. We take an active part in that transformation. For instance, in the …

Visualization Comes of Age

Jerry Finn and Iskra Velitchkova


A fair part of our activities to transform data into knowledge involves visualizing large amount of data and communicate the results in interfaces and stories. At BBVA we also advocate for best practices in data visualizations and train data scientists to improve their skills (see for instance our Introduction to Data Visualization and to Human Perception in Data Visualization). Here is …

Recommender systems: Marketing gets personal

Jerry Finn, Juan Arévalo and Roberto Maestre

Data Processing

Did you ever get the feeling that Amazon understands your desires better than your spouse? Did you ever search for a vacation in Galicia on Google and then notice you see more ads trying to sell you sea food and raincoats? This is thanks to recommender systems brought to you by the phenomenon of Big Data. In today’s world, businesses …

Big Data Comes Alive with Animation

Jerry Finn

Data Stories

Our colleagues at Vizzuality commented that the interactive visualization they did with us was such a piece of art it could be displayed in Madrid’s Prado Art Museum. I disagree. Everyone knows that Madrid’s modern art museum is the Reina Sofia and BBVA’s and Vizzuality’s work is absolutely modern. In 2015 we decided in collaboration with our friends at Vizzuality to demonstrate the power …

Data Helps Mexican Tourism Grow

Jerry Finn and Juan Murillo Arias


Businesses in the era of Big Data accumulate all the information they can from interactions with their own customers, but governments usually have wider concerns which require information beyond what one business can gather, and they need data that reveals patterns about the population in general. Bancomer and BBVA Data & Analytics Have the Experience Tourism is of vital importance …

Reference Generation: A Method for Venue Recommendation

Jerry Finn

Data Processing

Being concise is often a virtue and sometimes it is also a necessity. It’s especially interesting to explain something as complex as data science in just 6 minutes. This was the idea behind the Pecha-Kucha talks at the NetSci2015 conference of the Network Science Society in Zaragoza, Spain. The Pecha-Kucha presentation style recommends 20 slides for 20 seconds each, forcing …

Predicting Regional Economic Indices

Jerry Finn

Data Processing

It’s not unusual for people to complain about the timeliness of macroeconomic statistics. Governments are constantly revising GDP figures and unemployment rates well after the fact. It seems when it comes to economic statistics it’s tough to make predictions about the past. Other limitations are that the nature of the data that is used as input to official government economic …