Articles

How to evaluate the data scientist’s work

10 · 04 · 2017

By Rebel Thinking - Guest Author

Once a project related to data science has developed enough within an organization, the time to measure the results of the data scientist’s work comes. How to do it? First,

Three obstacles before the data scientist can get to work

03 · 04 · 2017

By Rebel Thinking - Guest Author

Once the company has definitively embarked on the culture of Big Data, the possibilities open by the data analytics are immense. The coexistence between analysts and specialists in a company

The data scientist’s tools

27 · 03 · 2017

By Rebel Thinking - Guest Author

The data scientist must be comfortable with different types of analytics tools. Within engineering related to the construction of data processing systems, there are three basic tools to embark upon

Can we measure the digital transformation?

24 · 03 · 2017

By Gonzalo Martín

We all can agree that measurement is one of the greatest obsessions in management. Measuring beyond the easy or the obvious (since you can count “likes,” it’s easy to think

What skills should a data scientist have?

21 · 03 · 2017

By Rebel Thinking - Guest Author

Contrary to what many people assume, the data scientist is not necessarily a professional with a “numerical” background. While the disciplines most commonly associated with data science like mathematics, statistics,

The PATH to the bank of the future

06 · 03 · 2017

By Rebel Thinking - Guest Author

Path: “A path is a long strip of ground which people walk along to get from one place to another”. Collins Dictionary. Going from one place to another. This is

Pain points: why banks are driving the iGEN mad

27 · 02 · 2017

By Rebel Thinking - Guest Author

In our study Bank To The Future, we analysed the problems our iGEN study participants face with everyday banking and categorised them into six major pain points. Major pain points

Data scientist – the sexy job of the decade

16 · 02 · 2017

By Carlos Corredor

Data scientists have really came into their own in recent years. As predicted nearly 10 years ago by the then chief economist at Google, Hal Varian, who stated in an

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