Big Data

Speaker Series on Data, Analytics & Cloud – How to make data-rich interfaces intuitive?

Last Monday, October 23, 2017 we held our first session of the Speaker Series on Data, Analytics and Cloud in our Master of Science in Business Analytics program.   

This first edition was devoted to Visualization. How to visualize complex data is an important part in any data driven strategy. Not only because of need to transmit the discourse in a convincing and compelling manner but also because visualization facilities to uncover and make visible hidden relationships promoting a discussion around them.

If visualization for Analysis is important, when it becomes integrated in the user interface either favoring data exploration or allowing to manage sophisticated AI applications, then it turns out because data visualization becomes the interface itself.

The field is evolving rapidly, developments such as DS3, Python libraries such as Bokeh, Plot.ly or recently Dash are democratizing the capacity of building sophisticated visualizations and the UX around them. However, this is only the beginning, the new developments in AR-VR promise a quantum leap in visualization.   

We had three great Speakers in this first edition:

        • Mark Schindler – GroupVisual.io
        • Alberto Gonzalez – Bestiario bestiario.org
        • David Nogué – Eixos eixos.cat
        • Victor Pascual Cid – One Tandem – onetandem.com

Before the Speaker Series I had the opportunity to talk to Mark Schindler, here is the result

 

 

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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Tim van Kasteren – Data Scientist @ Schibsted

 

Even if Schibsted is one of largest media groups in Europe maybe you don’t know it. However, you are probably familiar with brands like InfoJobs, MilAnuncios.com, Vibbo (Segunda Mano) or coches.net, all of them part of the group.

With Tim we discuss the role of a Data Scientist in a native Digital company, the problems, the opportunities and also the advice that he can provide to aspiring Data Scientists.

Enjoy !!!

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 !

Data & Cities

data-driven-cities-s

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

protectedintersectionsf

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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