Category Archives: News

Save your date! Barcelona Data Science Meeting

Join Barcelona GSE for the first edition of the Barcelona Data Science Meeting, taking placeMarch 21-22, 2016 at UPF’s Ciutadella Campus.

Organized by the Barcelona Graduate School of Economics with participation of the Ramón Areces Foundation, this two-day meeting will bring together international Data Science experts from academia and industry:

DAY 1: RESEARCH IN DATA SCIENCE
Alberto Cavallo (MIT)
“The Billion Prices Project: Using Online Data for Inflation Measurement and Research”
Costantinos Daskalakis (MIT)
“Testing and Learning Distributions in Sublinear Time”
Andrew Gelman (Columbia University)
“Little Data: How Traditional Statistical Ideas Remain Relevant in a Big-Data World; or, The Statistical Crisis in Science; or, Open Problems in Bayesian Data Analysis”
Alexandros Karatzoglou (Telefonica)
“Deep Learning”
Modesto Orozco (IRB)
“Flops and Bytes in Biology”

DAY 2: DATA SCIENCE APPLICATIONS FOR BUSINESS AND INSTITUTIONS
Speakers from companies will be announced shortly.
The conference aims to create an open environment for debate and exchange of knowledge, ideas, and views among researchers, professional experts, and students. We hope you will join us for the inaugural edition!

REGISTRATION AND MEETING DETAILS
Registration deadline: March 14, 2016




Video and highlights of the event From Customer to Revenue

From Customer to Revenue, the theme of our third event, brought together two speakers from industry to address challenges in revenue management.

We started the evening with a series of updates: 1) The BCNanalytics job board is a success and can be found on our homepage. 2) On 14th and 15th of November we will organize a Hackathon in collaboration with Social Point, further details can be found here. 3) We supported an intern named Enrico Kunz in analyzing twitter feeds to identify deals from tweets. Finally, our two industry speakers,  Sharon Biggar from Social Point and Francesc Paloma from Vueling, took the stage to share their experiences in revenue management.

Sharon from Social Point

Sharon started by explaining Social Point’s business model of free to play and how their games should not be seen as finalized products, but rather their games are continuously updated with content and feature updates. She went over various examples of how analytics helped Social Point identify points of improvement in their games. Analysing at which point in the gaming experience users drop out. Examining correlations between high transactions and high use of game features. Understanding the best use of bundled offers of in-game purchases to help convince users to make their first transaction. A general good rule of thumb that has shown to work well in Social Point’s free-to-play approach is “If the game is fun, the money will come”.

Francesc from Vueling

Francesc explained how Vueling has evolved in being data-driven since 2007. At Vueling it is important to identify periods that will result in a high number of bookings early on and have ticket prices that correspond to high demand. This means accounting for the different holiday periods in different countries, but also special events such as the Mobile World Congress in Barcelona. In recent years, however, revenue management for airlines has mainly developed in the area of ancillary revenues, or revenues from non-ticket sources, such as seat reservation or on-board food services. Francesc gave several examples on how data helped in deciding on the pricing strategy such as fixing a ticket price for 24 hours before booking or using a dynamic price system for seat reservations.

Sharon and Francesc

After the presentations the audience got the opportunity to ask questions, allowing the speakers to address some further details of their approaches. The session closed with drinks and a chance for visitors to do some networking and discuss the topics presented.




Data driven personalisation: Gilt’s personalised flash sales

I am writing this post today on how Gilt (A leading American flash sales site) is leveraging further the power behind analytics to provide an improved customer experience. Gilt is starting to serve personlised daily offers based on an algorithm that takes into account factors like purchase data and past browsing behavior and combines it with direct customer preferences and feedback. They see it as a core element of their strategy to differentiate and get customer’s attention in a very competitive environment. In a recent interview with Tamara Guzbarg, senior director of analytics and research at Gilt, she stresses the importance of having a consolidated view of the customer across channels and devices to be able to provide real personalisation.
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