We asked our partners at the Cornell Center for Hospitality Research to poll the research faculty at the Hotel School to understand their guidance about what to expect in 2015. We were also able to get a preview of what the faculty will be working on in terms of research
It's an exciting time for reality! We've been technologically enhancing reality for a long time -- eye glasses, telescopes, binoculars, microscopes, photography, moving pictures, live streaming video over the Internet, etc. But whether it's augmented reality, virtual reality or somewhere in between, a new wave of eye wear technology is
We asked our partners at the Cornell Center for Hospitality Research to comment on what they are seeing in terms of trends that will impact the hospitality industry in 2015. Cathy Enz, full professor in strategy and The Lewis G. Schaeneman Jr. Professor of Innovation and Dynamic Management at the
You’ve heard about the smart grid, but what is it that makes the grid smart? I’ve been working on a project with Duke Energy and NC State University doing time-series analysis on data from Phasor Measurement Units (PMUs) that illustrates the intelligence in the grid as well as an interesting
Healthy skepticism is a part of human nature - it's probably an involuntary defense mechanism that has been refined as we've evolved as social beings. And in today's world of scripted "reality" TV shows, internet hoaxes and celebrity "farewell" tours, healthy skepticism can help you quickly steer clear of things that waste your
Utilizing big data analytics is currently one of the most promising strategies for businesses to gain competitive advantage and ensure future growth. But as we saw with “small data analytics,” the success of “big data analytics” relies heavily on the quality of its source data. In fact, when combining “small” and “big” data
In my previous post, I talked about how the Internet of Things promises new ways to use sensor and machine data by creating a highly efficient world that demands constant analysis and evaluation of the state of events across everything that surrounds us. I have also explained why it is
It’s that time of year again when we look back and consider how accurately and extensively the SAS story was covered in the media over the past year. It’s not always a simple or predictable story, but it is usually interesting. Consider some of these threads: How did companies or
Outside, the Cary, NC sky is gray and winds are blowing freezing rain, but a group of statisticians at SAS are channeling warm green hills and the soft, gold light of a California evening. Team conversations alternate between distributed processing, PROC IMSTAT and how many pairs of shorts to pack.
This isn't Kansas anymore. Oz has become a sprawling, smart metropolis filled with sensor data. How do we make sense of, clean, govern and glean value from this big data so we can get Dorothy home? The answer is SAS Data Management. With the latest portfolio updates, customers will be
No es un secreto que las empresas están aplicando cada vez más soluciones de Big Data para tomar las decisiones de negocio adecuadas. Sin embargo, corren el riesgo de caer en prácticas monótonas por desconocimiento y por no atreverse a usar nuevas estrategias que, en muchos casos, podrían evitarles riesgos
Over the past decade in insurance, the rise of the aggregators (organisations that compare quotes between different insurers) and direct channels has had a profound impact on personal lines distribution in the UK. However, personal lines brokers remain a critical route to market, especially at a time when many insurers
James Surowiecki wrote a book about The Wisdom of Crowds. Jeff Howe, who co-coined the term crowdsourcing, wrote a book about Why the Power of the Crowd Is Driving the Future of Business. In this blog series, I explore if it’s wise to crowdsource data improvement, and if the power of the crowd can
“Let’s assume a normal distribution …” Ugh! That was your first mistake. Why do we make this assumption? It can’t be because we want to be able to mentally compute standard deviations, because we can’t and don’t it that way in practice. No, we assume a normal distribution to simplify
~ This article is co-authored by Binod Jha, Global Product Manager for Insurance Solutions at SAS, and Amol Kokane, Senior Development Manager for Insurance & Risk Management Solutions at SAS ~ How might insurance policies change if sensor data could be automatically transmitted and analyzed from your car, your home and even your
By now you have seen dozens of articles with trends and predictions for what the hospitality industry should expect in 2015. I’m not going to add to those, or rehash them exhaustively here. You’ve all probably read them yourself and gathered the highlights: optimism, more acquisitions, transaction volumes will stay
Since now is the time when we reflect on the past year and make resolutions for next year, in this post I reflect on my Data Roundtable posts from the past year and use them to offer a few New Year’s data resolutions for you and your organization to consider in
Decades of Westernized television and cinema have featured fantastic imagined car technologies, including many that now actually exist. Think of the autonomous car from Knight Rider and today’s self-parking capabilities. Or the ongoing James Bond series with tracking devices that resemble the well-established GPS systems in our cars, phones and
As my followers can attest, my normal viewpoint in this blog is as a marketer focused on marketers. And I try to stay true to the tagline of this blog: Evolving relationships for business growth. I chose those words very carefully so that evolving could with be interpreted either passively
It’s that time of year again, and I have retail on my mind. Not only because we’re reaching the peak of the holiday buying season, but because we at SAS are getting ready for one the biggest events on our calendar, the National Retail Federation tradeshow in January. As I’m
As a follow-up to my previous Christmas blog post, Twas the night before big data, I give you ... Bayesian network, the directed acyclic graphical (DAG) model ( yeah, yeah, I know it doesn’t quite have the same ring as last year’s title, but you'll recognize the tune) You know Linear and
.@philsimon on an important question.
For a long time, master data management (MDM) practitioners boasted about their ability to build a 360° view of customers by aggregating and proactively managing information coming from various business applications such as CRM systems, ERP applications, and other operational systems. But was it really a 360° view? What about
El costo de no ser relevante en el mercado puede ser la pérdida de un cliente. Los clientes esperan interacciones personalizadas y las organizaciones deben tener en cuenta que, factores como la calidad del producto, la facilidad y velocidad de adquisición, ya no son suficientes. Entonces, ¿cuál es el siguiente
Well, Analytic Hospitality Executives, the year has once again flown by, and here we sit just before the holidays looking back on 2014, and figuring out what it all means for 2015. I traveled even more than usual this year (if that’s even possible), spending a significant amount of time
When it comes to exchanging gifts at Christmas, my brother and I have a tradition of buying each other books. Even when he lived away in Chicago, and everyone else in the world was buying eBooks, I could always count on a big, heavy box delivered to my house each
Flexibility and nimbleness are terms synonymous with small and mid-sized businesses. They have the ability to react quickly to changing market conditions as they are made aware of them. Traditionally these businesses have lived in the world of spreadsheets - and why not? They are easy to use, very affordable
Every time I pick up a new article about analytics, I am always disappointed by the fact that I cannot find any specifics mentioned about back-end processing. It is no secret that every vendor wishes they had the latest and greatest parallel processing capabilities, but the truth is that many
Data. It's everywhere. It can reside in many places through replication, accessibility needs or infrastructure costs. For reporting, that same data can be structurally changed (denormalized or aggregated) into additional reporting and analytic data repositories. Over time, new sources of enrichment of that data become available through traditional data sources
The first sensors appeared many decades ago, and have been around for quite some time in various forms, even though they’ve really only entered the popular vocabulary over the past few years thanks to the Internet of Things. How do sensors work? A sensor detects events, or changes in quantities, and
