The amount of data being produced and captured from the plant floor today is staggering. When you add it all up, a factory can easily generate over 34 Terabytes of data per day, or nearly 9 Petabytes a year - that's 9 Million Gigabytes! Yet, with all of those systems, and all
We’ve been talking about data recently at the Analytic Hospitality Executive. I’ve advocated to use whatever data you have, big or small, to get started today on analytic initiatives that will help you avoid big data paralysis. In this blog, I’m going to get a bit more technical than usual
When I was a kid learning about the solar system and building those models out of hastily-painted styrofoam balls of varying sizes, Pluto was a planet. A full-fledged, legitimate planet just like the other eight. But In August of 2006, just 7 months after NASA launched the New Horizons Mission
What's that productivity related quote by Charles Dickens? "My advice is never do tomorrow what you can do today." For years, machine learning has been written about and discussed widely with a focus on the benefits it will bring in the near future. But guess what? The future for machine learning
Wären Sie in der Lage, rechtzeitig auf Sicherheitslücken in Ihrem Unternehmen zu reagieren, sei es in der Produktion oder in der IT, auch wenn es Made in Germany hieße? Könnten Sie Ausfälle oder Qualitätsprobleme frühzeitig erkennen? Wie sähe es aus, wenn Sie feststellen würden, dass Ihre Kunden nicht mehr mit
One of the most important skills for data scientists and business analytical professionals is communications. If decision makers and managers don't understand what the numbers mean -- results won't turn into action. Jeff Zeanah, President of Z Solutions, Inc. has been presenting on the topic of speaking “analytics” for many
The triangular distribution has applications in risk analysis and reliability analysis. It is also a useful theoretical tool because of its simplicity. Its density function is piecewise linear. The standardized distribution is defined on [0,1] and has one parameter, 0 ≤ c ≤ 1, which determines the peak of the
“The most successful life sciences companies will be the ones that can convince their customers – patients, health care professionals, government authorities and health plans – that new treatments are the most effective and provide true value compared with alternatives.” Jamie Powers, DrPH, Principal Consultant and Practice Lead, SAS Health
There's a lot of talk right now about the Internet of Things and how it's likely the prime catalyst for the digital transformation of organizations over the next few years. Billions of sensors, and devices with sensors, all generating data in a hyper-connected world where it can be easily shared
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
I recently came across some very interesting data on serial killings ... but it was in tabular/text form. This seemed like an invitation for me to create some graphs that make it easier to understand the data. It seems many people have a morbid curiosity about serial killers. For example, some
A SAS programmer wanted to plot the normal distribution and highlight the area under curve that corresponds to the tails of the distribution. For example, the following plot shows the lower decile shaded in blue and the upper decile shaded in red. An easy way to do this in SAS
Operationalizing data governance means putting processes and tools in place for defining, enforcing and reporting on compliance with data quality and validation standards. There is a life cycle associated with a data policy, which is typically motivated by an externally mandated business policy or expectation, such as regulatory compliance.
My son is in high school and plans to take the ACT, a standardized test to assess college aptitude and readiness. My wife asked, "What is a good score for the ACT?" I didn't know, but I did a quick internet search and discovered a tabulation of scores for the
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
Recently a SAS customer asked how to Winsorize data in SAS. Winsorization is best known as a way to construct robust univariate statistics. The Winsorized mean is a robust estimate of location. The Winsorized mean is similar to the trimmed mean, and both are described in the documentation for PROC
Dust off that old aphorism about an ounce of prevention. Oil companies applying analytics for predictive maintenance can see a substantial downtick in the unanticipated equipment repairs that quickly eat into an oil well’s profitability. Maintenance is far from a trivial concern in the oilfield. A pumping oil well is
Guess what? Data governance can be considered a bottleneck and a bothersome activity at some organizations. So let’s discuss how NOT TO BE the BOTTLENECK. Defining what the data governance initiative will entail is very important here.
I just wanted to check in and give my adoring fans a glimpse into a typical day of my retirement. You didn’t think I was just going to lope off into the sunset, did you? First, I have been hanging out with Ed’s better half, Kimberly, and my best buddy,
~ This article is co-authored by Biljana Belamaric Wilsey and Teresa Jade, both of whom are linguists in SAS' Text Analytics R&D. When I learned to program in Python, I was reminded that you have to tell the computer everything explicitly; it does not understand the human world of nuance
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
As my colleague Margaret Crevar recently wrote, it is useful to know how long SAS programs take to run. Margaret and others have written about how to use the SAS FULLSTIMER option to monitor the performance of the SAS system. In fact, SAS distributes a macro that enables you to
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,
Bald eagles, the national bird of the United States, came perilously close to becoming extinct here, but are now making a comeback! Let's look at the data with a SAS map! When I was growing up in the 1970s & 80s here in North Carolina, I spent a lot of time
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
.@philsimon on whether companies should apply some radical tactics to DG.
The insurance industry is heading for a crisis. Depending on which report you read the insurance industry is facing a shortfall in job vacancy from anything from 40,000 to nearly half million in the next few years. Baby boomers in specialized jobs like underwriters and claims adjusters are retiring and insurers
The boundaries between the company and its marketplace are increasingly blurred. We are now part of a reality in which customers play a much more integrated and active part in the processes of research and development, marketing and customer service. Little about a company and its offerings will ever again
