I'm gearing up to teach the next "DS2 Programming Essentials with Hadoop" class, and thinking about Warp Speed DATA Steps with DS2 where I first demonstrated parallel processing using threads in base SAS. But how about DATA step processing at maximum warp? For that, we'll need a massively parallel processing
I’ve had a lot of discussions with business leaders around the discrepancy between big data investment fears and successful use cases. Most of them say that "the quest for the golden use case" takes too much time and is usually not successful in the end. Ultimately, this quest can lead to
We recently met up with Paul Bennett, a member of the GB Rowing Team and current World Champion, and Laurie Miles, Head of Analytics for SAS UK & Ireland, who has been analyzing the team's data. They chatted about data, the life and mind of an elite sportsman, and uncovered some
Technology has brought the world a great deal of good, but the downside is that we’re increasingly vulnerable to some seriously scary stuff: Terrorists taking control of airplanes through the in-flight entertainment system. Governments breaking into secure systems and stealing identities. Thugs messing with the steering of self-driving cars. When
I am a runner – a trail runner to be more precise. There are many trails that I enjoy running near where I live, but what I really anticipate is the opportunity to explore a new trail. Whenever I travel, my trail shoes go with me and I try to
Recently, I was given the opportunity to present a session titled, An Executive’s Cheat Sheet on Hadoop, the Enterprise Data Warehouse and the Data Lake at the SAS Global Forum Executive Conference. During this standing-room only session, I addressed these five questions: What can Hadoop do that my data warehouse can’t?
The smart grid is a technology infrastructure that adds intelligent capabilities to the electricity distribution system. When you apply analytics to the smart grid data, you can automate and improve operations, maintenance, planning and customer satisfaction - among other processes. As utilities continue to upgrade meters, transformers, and add new sensors and equipment,
With all of the discussion about big data these days, it is easy to think that every problem is a big data problem. Yes, there is a lot of data out there these days, and of course we all love a nice big data set, but you don’t always need
As monsoon season begins, many Nepal earthquake victims have shelter over their heads thanks in part to an unlikely intersection of two SAS global development projects. The first project is with the International Organization for Migration (IOM). IOM is the first responder to any crisis that displaces people. IOM provides
I just spent much of the past week watching and trying to ride waves on the North Carolina coast. Small waves, mind you, nothing spectacular and certainly nothing that you would consider edgy or life-altering. Nothing that big wave surfers like Laird Hamilton, Garrett McNamara and others of their substance
What does the future of analytics look like in your organizations enterprise architecture? Does it include thinking about a two speed approach to analytics which includes both: An agile rapidly changing analytics platform for innovation (a lab) seperated from operations and broad enterprise audience usage A slowly moving systematic enterprise analytics platform (a factory)
On May 7, 2015, Conservatives defied the polls and won the UK general election, handing Labour and Liberal Democrats a surprising defeat. Now, with Chancellor George Osborne presenting his budget in a few days' time (July 8), the new Conservative government is tackling how it will deliver on its campaign promises. That means
¿De qué nos sirve saber sobre analítica, si realmente no conocemos el valor e impacto que tiene en los negocios y en nuestra vida? Si usted es de los que se hace esta pregunta, es momento de tomar decisiones al respecto. Cuando hablamos de analítica empresarial, estamos hablando de una solución
Yes, its true. Education has big data and always has. One perfect example? Statewide longitudinal data systems. Every state has one that tracks information on students from preschool until they enter the workforce (so some states call them P-20W). Think about all the schools and all the students across your state, now
Our customers are networked - they connect with people, places and things that matter to them. That concept and understanding what to do about it holds the key to how organizations can improve customer experiences. It's a matter of networking your organization, so making it more agile, more enabled and
“Is yoga a sport?” Years ago, an executive at Adidas found himself pondering this very question. At the time, the sports design paradigm centered on competitive edge and athleticism. But, not every customer is a professional athlete. Where did customers engaged in recreational activities fit? The “yikes” moment for Adidas
Traditional data governance is all about establishing a boundary around a specific data domain. This translates to establishing authority to define key business terms within that domain; establishing business-driven decision making processes for changing the business terminology and the rules that apply to them; defining content standards (e.g., metadata and
After doing some recent research with IDC®, I got to thinking again about the reasons that organizations of all sizes in all industries are so slow at adopting analytics as part of their ‘business as usual’ operations. While I have no hard statistics on who is and who isn’t adopting
La ciencia de datos es un tema álgido entre los líderes empresariales y de TI. Hay un entusiasmo evidente por los beneficios potenciales que tienen las organizaciones cuando la adoptan en sus procesos, sin embargo, el hallazgo, contratación y entrenamiento de científicos de datos para conformar el equipo, también genera
If you use a GPS system or a mapping app on your phone, you're familiar with geospatial intelligence. But did you know this same technology can be used to map the spread of diseases, to understand the spread of wildfires, to visualize environmental issues - and much more? The proliferation
Big data. Streaming data. Complex data. We’ve all heard the reasons why organizations feel like they’re facing an insurmountable data challenge. Now, it’s time to do something about it. For the past few years, SAS has helped some of the world’s leading companies make sense of an avalanche of data.
.@philsimon on the new challenges of data governance.
Jim Harris says event stream processing determines if big data is eventful and relevant enough to process and store.
People are such an important aspect of data analytics. I was reminded of this at the recent Strata+Hadoop World event, where I saw first hand that the UK is indeed facing the same skills gaps as elsewhere in the world. Perhaps that didn’t surprise me, but I also noticed the
For health and life sciences organizations, discussions about big data include gaining value from that data in the form of real-world evidence. Consider for a moment the amount of healthcare data that exists today thanks to the adoption of electronic health records. Then think about the future with data from
I am noticing a trend. At the ASSA meetings in January (where economics, sociology and finance academics and practitioners gather to discuss their research) I was surprised to see how much “machine learning” was trending with economists. The session “Machine Learning Methods in Economics and Econometrics,” with papers by Susan
According to recent studies on big data readiness, the majority of companies (more than 60 percent in the latest study of Crisp Research) are not prepared for the challenges of digital transformation. In fact, 58 percent of decision makers surveyed say they have no strategy in place. The quest for
Your customers are more demanding than ever before. Improving field quality and your customer's experience of your product is essential to staying competitive. However, truly understanding customer experience can be a daunting task. These recommendations have been refined and proven in dozens of manufacturers as simple ways to rapidly improve field quality performance. 1. Think big; start small.
The Internet has been around a long time. "Things" have been around even longer. Put the things on the Internet, aka the Internet of Things (IoT), and you get so much hype that IoT is at the top of Gartner's "Peak of Inflated Expectations" – and poised for a fall into the "Trough of
USA Today recently published an article titled 10 retailers take two-thirds of your money. The story highlights the revenue distribution among the Top 100 retailers in the S&P 1500. It was startling to see that such a small number of retail powerhouses take in such a large percentage of consumers’ income.
