Dataconomy Newsletter

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Top Data Science News, Articles and Job Posts from Dataconomy. 
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“Those who rely on gut instinct or trivial analyses will be out-competed” – An Interview with Data Scientist Jon Sedar

17496704725_d1bf3f39e2_kJon is a consulting data scientist, trained in physics and machine learning, with 10 years professional background in data analysis and management consulting. He co-manages a niche data science consultancy called Applied AI, operating primarily in the insurance sector throughout UK, Ireland and Europe. He’s also an organiser and volunteer within data-for-good social movements, and occasional speaker at tech and industry events. Follow Peadar’s series of interviews with data scientists here. 1. What project have you worked on do you wish you could go back to, and do better? I won’t name names, but throughout my career I’ve encountered projects – and indeed full-time jobs – where major issues have popped up not due to technologies or analysis, but due to ineffective communication, either institutional or interpersonal. Just to pick...
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Data to the People: The Tableau Visualisation Challenge

history-of-the-dow-30_6_0_12Win a full license for Tableau software in their visualization challenge! Tableau did not come from modest beginnings. It was the result of three well-prepared Stanford men. It all began when founder Chris Stolte was working on his PhD. With his background in database programming, he saw there were maaor problems with current data analysis tools. Stolte realized his work was clearly not just going to earn him a PhD—it was going to change data analysis. Pat Hanrahan, Stolte’s highly accomplished advisor, also saw the possibilities. Together, they began combining computer graphics with databases. Finally, they took on Christian Chabot, their entrepreneur with a background in data. The result was an international company with a jaw-dropping product that immediately won awards and garnered attention. Example visualisations created with Tableau: No...
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SQL vs. NoSQL vs. NewSQL: Finding the Right Solution

4150969115_5347f210c8_oWith SQL now invading the NoSQL camp, (see here), how should an organization choose between a traditional SQL database, a NoSQL data store, or NewSQL database? 2015 Turing Award winner Mike Stonebraker said it best: “one size does not fit all”. The idea that a single database product can satisfy any (or all) use cases simply isn’t true these days. If you are happy with the performance, scalability, and high availability of your current traditional SQL database system (the likes of Oracle, SQL Server, MySQL), then there is no reason to read further. However, if you have growing pains in any of these areas, then a NoSQL or NewSQL offering may be right for you. So how do you choose between them? Choosing the right tool for the job at...
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What Makes a Data Scientist Stand Out?

3893586483_c3de2fd6e7_bIn a world dominated by big data, it stands to reason that many organizations are eagerly seeking out the best data scientists. With all this high demand, data scientists now have their work cut out for them to truly stand out from what is an increasingly crowded field. While it’s true that finding a data scientist job is not the most difficult task, it’s up to each individual data scientist to prove themselves. That means being the best at what they do and showing why they deserve a highly sought after position. With this in mind, data scientists can help themselves out tremendously by adopting certain skills and talents that will help differentiate them from others in the same career. Programming While it might not come as a surprise that data scientists need to know their way...
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“Smile and Nod.” – Data Scientist Jeroen Latour on the Value of the ‘Big Data’ Buzzword

11396380473_26f323b1e4_bJeroen is a Senior Data Scientist with a consultancy in the Netherlands called TriFinance and he will soon be joining the Booking.com team as a Data Scientist. He remarks on his analytics consultancy experience here which was formed both at IBM and TriFinance. Follow Peadar’s series of interviews with data scientists here. 1. What project have you worked on do you wish you could go back to, and do better? Most of them. The downside of analytics consultancy is that often you’re not able to continue on a promising project. Fact is, the challenge of introducing data science to an organisation is often not a technical one, and it takes more time to take people along than it does to do the analysis. With a little patience, sometimes you get...
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First Round of Confirmed Speakers Announced for Data Natives 2015

28th February- 1st March, 2015- THack ITB BerlinData Natives, a first-of-its-kind conference for the data-driven generation, is set to bring together the brightest minds in data science and related technologies for a 2-day event in Berlin November 19-20. What’s on the agenda Data Natives features a packed agenda designed for those looking to push the boundaries of their ideas and work in data science and beyond. With 40+ industry talks and unlimited networking opportunities, the conference aims to break down barriers in the industry and forge lasting relationships among its participants. Talks will focus on three buzzing areas of data science – Machine Learning, Internet of Things and FinTech. The conference will also host a Startup Battle, showcasing some of the most exciting companies poised to do big things in big data. Young startups will have the...
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The Surge of Prescriptive Analytics

DSC_0007The topic of prescriptive analytics or optimization (i.e. linear programming) has received increasing attention over the last few years, including new coverage by analyst firms such as Gartner, Advisory Board, Forrester and several industry thought leaders. Why the attention? Prescriptive analytics is analytics science that guides decision-making processes for businesses. It adds tremendous value to such processes by providing significant clarity the other types of analytical approaches and data that are required to support decision-making. Below are 3 use cases that illustrate the value that prescriptive analytics has brought to organizations. To highlight its wide range of applicability, we have chosen cases with different industries (profit-oriented vs. not-for-profit) and different levels of planning (tactical, strategic, etc). Whether it’s a government organization, a process manufacturing company or even a retail business,...
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