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
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.
Para nadie es un secreto que los ejecutivos están cambiando su percepción acerca del Big Data. Los líderes empresariales reconocen cada vez más la importancia de capturar y analizar estratégicamente los datos y esto se debe a una amplia serie de razones. Una de ellas es el acceso a nuevas
You might have lots of data on lots of customers, but imagine if you could suddenly add in a huge dollop of new, highly informative data that you weren’t able to access before. You could then use analytics to extract some really important insights about these customers, allowing you to
This month we take a fresh analytical view of our hypothetical VirtualOil portfolio by comparing the forward price of WTI (the green line) to the prompt month price (red line). The resulting graphic (chart 1) demonstrates the relative stability of the 48-month forward price in contrast to a very active spot
As we enter the era of “everything connected,” we cannot forget that gathering data is not enough. We need to process that data to gain new knowledge and build our competitive advantage. The Internet of Things is not just a consumer thing – it also makes our businesses more intelligent. Whenever
We have spent a good deal of time at the Analytic Hospitality Executive advocating for the value of big data for hospitality. Just a few months ago, for example, I wrote a two part series on how Big Data was a “big opportunity” for hotels and casinos. Our goal at
What sends a data management product to the top of the “hot” list? In a word – speed. Especially when that speed can gracefully accommodate the huge world of streaming data from the Internet of Things. One of SAS’ hottest (and recently enhanced) products, SAS Event Stream Processing is an
@philsimon on the need to adopt new tools to understand events.
We’ve all been there. You’ve knuckled down, cleaned out the garage, the attic, and that cupboard under the stairs, thrown away a ton of stuff, only to need it again the very next week. Until recently, that’s exactly what many businesses did with their data. The data explosion has radically
Insurance relies on the ability to predict future claims or loss exposure based on historical information and experience. However, insurers face an uncertain future due to spiraling operational costs, escalating regulatory pressures, increasing competition and greater customer expectations. More than ever, insurance companies need to optimize their business processes. But
Seguramente siga escuchando acerca del Internet de las Cosas sólo como un concepto, lo cierto es que con ejemplos como el que queremos contarle a continuación, se hace evidente el impacto que tiene no sólo en las cosas sino en las personas. Imagine un mundo en el que su carro
In my previous post I used junk drawers as an example of the downside of including more data in our analytics just in case it helps us discover more insights only to end up with more flotsam than findings. In this post I want to float some thoughts about a two-word concept
@philsimon says that, yes, we can learn a great deal.
any factors go into your strategic global business decisions, from the physical placement of factories and distribution centers, to your choice of suppliers and partners, to your target markets and the business model itself. Businesses have a choice of fundamental global go-to-market investment strategies, from direct foreign investment on the one
In April, the free trial of SAS Data Loader for Hadoop became available globally. Now, you can take a test drive of our new technology designed to increase the speed and ease of managing data within Hadoop. The downloads might take a while (after all, this is big data), but I think you’ll
