Data Analytics

ESADE’s Master Of Business Analytics

BY: MARC ETHIER ON MAY 06, 2017

ESADE Professor Esteve Almirall, lecturer in the Department of Operations, Innovation and Data Sciences,

             will teach course for the school’s new Master of Business Analytics. Courtesy photo

poetsandquants.com/2017/05/06/esades-master-business-analytics/

Program Name: Master of Business Analytics

School: ESADE

Length of Program: 12 months

Cost: €26,500, or about $28,864

Esteve Almirall’s roots are in the computer industry. He has worked for more than 20 years in executive- and board-level positions in IS, organization, and marketing for consulting, banking, and finance firms; as an entrepreneur he has actively participated in — and founded — several startups in the field. So it’s easy to see where he developed the core belief he brings to his current role as lecturer in ESADE’s Department of Operations, Innovation, and Data Sciences, and director of the school’s new MSBA: Business schools must take the lead in the digital revolution.

‘I believe that in a digital world, in a world that is transforming itself more and more into software, business schools cannot be absent and should be not only present but have a leading role in this transformation,” says Almirall, who earned an MBA from the University of California-Berkeley Haas School of Business. “Our business schools should train the business professionals of the future and these business professionals will be digital. Coding should become in BSs as common as spreadsheets, and analytics and experimentation the normal way to tackle projects and explore new ideas. Our job is to fully contribute to this transformation!”

That’s the basis for the launch of the Barcelona, Spain school’s MSBA this fall. Almirall believes the future of business lies at the intersection between technology and innovation; he is active and sought after for his expertise in the areas of “smart cities,” innovation ecosystems, innovation in the public sector, and user innovation. And he has coordinated several large EU competitive projects and participated in more than 10 of them as main researcher. Now, Building on ESADE’s years of integrating technology and data science into its programs — and with input from company partners and others — Almirall and the school’s faculty have designed the new MSBA to be a leader in analytics education.

“In our case, launching and planning this program involved many people — it has been truly a team effort,” Almirall tells Poets&Quants. “We started with this program checking the rest of the programs that were available. After, we held interviews with more than 20 companies asking their opinions on what should be there and what they wanted of our graduates. Internal checking and discussion has been extensive, with the involvement of many academics and non-academics from our organization.”

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eDreams – Native Digital Companies

We are all familiar with native digital companies like eDreams, the Spanish on-line travel specialist.

However, native digital companies work differently than normal companies. There, you are not going to find product managers but product owners. Project Management is basically SCRUM and you cannot meet your clients but you know a lot about them.

Digital experiments is the tool for taking decisions and personalization is the name of the game.

Here you can find the interview ith Manuel Bruscas, Director of Analytics and Insights at eDreams ODIGEO, where we talk about the differences between native and non-native digital companies and how both work !

I am sure that you will find it not only very interesting but enlightening !

 

Interview with Gloria Macias-Lizaso – McKinsey’s partner in charge of Data Science & Business Analytics

Gloria Macias-Lizaso, McKinsey’s partner in charge of Data Science in Spain talks with me about Data Science & Business Analytics, how McKinsey sees the sector in Europe and what could be its evolution in the near future.

We also discuss on the qualities that makes candidates more fit for a Data Science or Business Analytics position. What are companies looking for? There you will hear about a new concept, the one of translators, professionals that bridge between business and tech, trying to make tech relevant and understandable for organizations.

In such a changing world, it is difficult to find anybody that is equally good in both tech and business. In fact, for many of us it is difficult to keep up with the fast pace of the area. Having people that know how to best apply tech to business and apply it in an effective way is rare.

This is the kind of people that we aim to train @ Esade in our new program, the Master in Business Analytics. If yo are interested, please contact me !

A conversation with Soh Kim – d-school Stanford University – about Design Thinking, Food Hackatons and Data Science

Soh Kim is responsible for the FoodInno initiative in the d-school @ Stanford University, as you all know the d-school is the meca of Design Thinking, a collaboration between Stanford & IDEO that resulted in the conceptualization of Design Thiking. 

Soh is one of the main researchers around Open Innovation in the Food industry. She is interested not only in conducting research but also in driving change. Food Hackatons is one of her proposals to link the instruments commonly used in Innovation & Tech to the Food Industries.

This interview was precisely recorded in one of this Hackatons in Esade where we proposed to reinvent TAPAS.

Our collaboration with the d-school goes however well beyond Food Hackatons. In our new program on Data Science, the Master in Business Analytics, our students will have a 2 week study trip to the Stanford’s d-school to work on how to use Design Thinking in Data Science.

Many of the Data Analytics projects don’t fully reach their objectives or end up in products that don’t fit the needs of users. With the use of Design Thinking we want to change that, increasing their success rate. 

Data & Cities

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Last Friday November 25 Barcelona City Hall & Esade held in Barcelona an event around the use and the governance of Data in Cities. Central to this event was the discussion of what cities have to do with data and how to approach the tsunami around Big Data, Data Analytics and Data Science that is shaking and transforming companies and organizations around the world.

It’s a very new subject and I think it is fair to say that local authorities are mostly unprepared to deal with it. To summarize, not only they lack the internal competencies but best practices and general policy frameworks don’t exist yet. Only a few cities: New York, Seoul, Amsterdam, Helsinki, now Barcelona … are exploring this uncharted territory with a diversity of approaches.

Last Friday we had the opportunity to be exposed to some of them. Among all I would like to highlight three.

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Data Driven Cities – SF saving Cyclists’ lives

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Cyclist die in our cities trying to circumvent too much traffic and survive hostile streets. Yes, cyclist die and they die too often. At the end of August this was the case of Michael Schenkman, 78, an avid and popular New York cyclist that also taught driver’s education for several years. He knew how to sort the dangerous and busy streets of New York. But nevertheless, he died stroked by a black Chevrolet that dragged him 25 feet.

I have been cycling through the streets of Barcelona for the last 15+ years. Barcelona is as dangerous as New York for cyclists. In the last years separated lanes for cyclist have been built,  but none on the sidewalks, which obviously limits adoption. When you cycle often through cities  you are very aware of the risk, you know that no matter what you do, a car or a motorbike can hit you and you will die or end up seriously injured. For the sake of the example, in New York, Schenkman’s death was the fifteenth until August. A pretty bad record.   

However, even if this happens and happens too often, even knowing how to address it. Most of the times, nothing gets done, beyond regretting the causality.

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¿Por qué nuestras ciudades necesitan una oficina de Data Analytics?

NYCAnalyticsEn el 2009 el alcalde Bloomberg creó en Nueva York la primera oficina de Data Analytics – MODA – Major Office of Data Analytics. Ello convirtió a Michael Flowers en el primer Chief Analytics Officer de la historia.

Paralelamente en Chicago, se creaba el Predictive Analytics Group dentro del Departamento de Policía gracias al patrocinio del Instituto Nacional de Justicia de los Estados Unidos para difundir el  uso de  las prácticas analíticas y en general de Data Science en la policía.

A cargo del proyecto estuvo Goldstein, hoy en día CDO de la ciudad de Chicago, con un notable éxito. Chicago fue capaz de utilizar los datos para redistribuir la policía de Chicago, incrementando su eficacia y permitiendo hacer más con los mismos recursos.

Después vinieron Nueva Oleans con Oliver Wise, Los Angeles, ciudades del Reino Unido como Manchester y con todo ello proyectos que pretenden difundir a ambos lados del Atlántico la necesidad de creas oficinas de Data Analytics y proyectos de Big Data en nuestras ciudades.

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