Finding people with the range of skills classified as data science can be a challenge, which is why some call them unicorns (do they really exist?), so I recently posted ten tips on finding unicorns. In my first post I elaborated on tips 1 and 2 (1. hire from an
The Global Hadoop market was valued at $1.5 billion in 2012 and is expected to grow at a compound annual growth rate of 58.2 percent, to reach $50.2 billion by 2020, according to a Hadoop Market Analysis report prepared by Allied Market Research. There is no doubt that IT teams are
Perhaps the greatest legacy that Ford Motor Company’s former chief executive, Alan Mulally, left behind is a culture of analytics. Ford began using analytics in the late 1990’s, but it wasn’t until their financial woes in the 2000’s and Mulally’s arrival in 2006, that analytics started to be used regularly for
Did you know: For 13 percent of car buyers a new vehicle without internet access is a no-go? Obviously, no-go means no-buy. Thirteen percent! If I have ever seen a market demand, it is this. For sure, the industry will respond to that. The management consulting company Bain even expects
Having spent a quarter of a century working on databases and on database-related technologies, I have developed an aura of skepticism on any new product that hits the market being presented as the best thing we have ever seen. It’s not that I love to revel in “I told you
I recently caught up with Dr. Tom Davenport, analytics thought-leader and author of Big Data @ Work, in Dublin, where we talked about big data, the Internet of Things and Hadoop. I'll be sharing the conversation here with you in two parts. You'll find part one below, and you can check
Do you have too many models to build, too many to manage, too few analytic resources or too much data? A Model Factory may be your answer. The mindset of analytics is changing. This represents the transformation from a “craftsman” dominated culture in which multiple weeks were spent cycling through
Next week I will be presenting at the Cornell Hospitality Research Summit on big data and revenue management. In preparation for the Summit, I have recorded a short presentation that outlines how big data can help augment revenue management. Alex Dietz talks about how big data can help revenue management.
In the last 5 years, the buzzword "big data" has spread like wildfire. One could argue big data had been around prior, but during this time media outlets such as the Wall Street Journal and C-level executives started to take a keen interest in this topic. No longer a problem
“Correlation does not imply causation” is a saying commonly heard in science and statistics emphasizing that a correlation between two variables does not necessarily imply that one variable causes the other. One example of this is the relationship between rain and umbrellas. People buy more umbrellas when it rains. This
At most banks, data is stored in separate databases and data warehouses. Customer data is stored in marketing databases, fraud analyses are done on transactional data, and risk data is stored in risk data warehouses. Oftentimes even liquidity, credit, market, and operational risk data is stored separately as well. Bringing
In the first installment of this series on Hadoop, I shared a little of Hadoop's genesis, framing it within four phases of connectivity that we are moving through. I also stated my belief that Hadoop has already arrived in the mainstream, and we are currently moving from phases three of connecting people to phase four
So, you've heard the Hadoop hype and you are looking – or have already invested – into Hadoop. Maybe you have also realized some benefits from the Hadoop ecosystem. But now you want to maximize those benefits by using advanced analytics, or you might have heard about algorithms or machine learning libraries available
Tal vez usted es de los que se preguntan cómo usan su tiempo algunos cargos en las empresas. Normalmente esto ocurre debido al desconocimiento por parte de los equipos sobre el rol de áreas diferentes a las suyas y más aún, cuando son muy especializadas. En esta oportunidad, hablaremos del
Would you build a house without a proper foundation? Most of us wouldn’t dare, but that’s exactly what many retail businesses are doing today. When building a house, if you don’t get the foundation right, paint, wallpaper and fixtures won’t matter much. It’s no different in the retail industry. Success
The panel moderator looks out over the audience. It’s a large crowd. For the first time ever, Big Data, Hadoop, and the Internet of Things are appearing on stage together. The conversation has just begun, so let’s listen in for a minute. Big Data: “…and people have been trying to
This guest post was written by Zubin Dowlaty. He has 20+ years’ experience in the business intelligence and analytics space. At Mu Sigma, he works closely with Fortune 500 companies counseling them on how to institutionalize data-driven decision-making. Zubin is focusing his efforts managing an agenda of rapidly implementing innovative analytics
The first time I used the Internet it blew my mind. As a diplomat brat, at any point in time everyone I knew was everywhere but where I was. Thanks the miracles of Gopher, Veronica, IRC and email, the tyranny of distance didn’t seem so oppressive any more. When I
This guest post was written by Dr. Jay Liebowitz, DiSanto Visiting Chair in Applied Business and Finance at Harrisburg University of Science and Technology. He is also the author of several books including, “Big Data and Business Analytics,” Business Analytics: An Introduction,” and “Bursting the Big Data Bubble.” Next month,
Asurewin Casino Review TheAsurewin Casino offers several bonuses for new customers. Its largest campaign is TheAsurewin Welcome Bonus, which adds 50% of the first and second deposits to players' balances. This bonus has a cap of $2,000 and is available six times per week. In order to qualify for the
The energy & utilities industry as a whole has experienced a seismic shift over the past five years due to rising costs and price pressures, and has become a priority discussion on the political and media agenda. Falling demand overall combined with “peakier” peaks is making supply, forecasting and public
My previous post pondered the term disestimation, coined by Charles Seife in his book Proofiness: How You’re Being Fooled by the Numbers to warn us about understating or ignoring the uncertainties surrounding a number, mistaking it for a fact instead of the error-prone estimate that it really is. Sometimes this fact appears to
Recently, I was reading an online article about predictive modeling and "big data." Its premise was to determine whether the use of big data actually led to more accurate and meaningful predictive models and forecasts. After citing numerous external examples and internal tests that the authors had compiled, it stated
.@philsimon on those who minimize the importance of data.
I’m sure, like me, you've been annoyed at being stuck in a traffic jam in a city centre somewhere, or been frustrated at your kids leaving lights on, or annoyed with the heating coming on when the weather’s warmed up and you've not got round to adjusting the thermostat. Now,
Imagine you are the race director for a Formula One car. Decisions must be made within seconds, sometimes in the blink of an eye. When speed is of utmost importance, it is necessary for race engineers to have all relevant race data at their fingertips. Instead of having a couple of
Okay, let's say your data is in Hadoop. The distributed, open source framework is configured as it should be across low-cost servers and your data is sitting in those clusters. It's been a meaningful effort to get to this point but how does it benefit your organization? If it's not doing something
