Data governance can encompass a wide spectrum of practices, many of which are focused on the development, documentation, approval and deployment of policies associated with data management and utilization. I distinguish the facet of “operational” data governance from the fully encompassed practice to specifically focus on the operational tasks for
The IT industry is littered with examples of short-lived corporate partnerships and alliances that often appear impressive but regularly end or are withdrawn after the initial enthusiasm wanes. The old adage that “actions speaker louder than words” is especially pertinent and I regularly encourage clients to look for tangible examples
One of the strengths of the SGPLOT procedure in SAS is the ease with which you can overlay multiple plots on the same graph. For example, you can easily combine the SCATTER and SERIES statements to add a curve to a scatter plot. However, if you try to overlay incompatible
The internet of medical things, spurred by the advent of wearable sensors, has dramatic consequences in industry, healthcare, and analytics, just as the advent of the internet of things and analytics has consequences in education. When I began my internship at SAS in May, I knew little about the internet of
As teachers, we lean into our experience. We trust our judgment about students and our instruction. We trade teaching stories with colleagues. And increasingly, we examine student growth data that illuminates our practice and occasionally suggests we refine our approach to individual students. In the past decade, states and districts
A good data analyst has to be focused, methodical, creative, rigorous, analytical and more when doing their work. If that is not enough, when presenting their work the wisdom of a philosopher may be required. It seems the requirements do not stop. The analyst is wise to remember the words
My friend and colleague Charlie Chase, author of the new book Next Generation Demand Management, has developed a 2-day course to go along with the book. The course is part of the SAS Business Knowledge Series, and is being offered in Chicago, October 19-20. Here are the details: Next Generation
Time series machine learning techniques show great promise for the analysis of health care wearable data. As our busy lifestyles render continuous monitoring more and more essential, the need to analyze data to find correlations between these data streams becomes even more important, because they can provide important cues to
Lately I've been binge-watching a lot of police procedural television shows. The standard format for almost every episode is the same. It starts with the commission or discovery of a crime, followed by forensic investigation of the crime scene, analysis of the collected evidence, and interviews or interrogations with potential suspects. It ends
In the past, a large percentage of US workers have been union members, and the unions could exert a big influence on elections. How powerful are the unions these days, an where do they wield the most influence? Let's map it out... In 1954, almost 35% of US workers belonged to
The article uses the SAS DATA step and Base SAS procedures to estimate the coverage probability of the confidence interval for the mean of normally distributed data. This discussion is based on Section 5.2 (p. 74–77) of Simulating Data with SAS. What is a confidence interval? Recall that a confidence
.@philsimon chimes in on new data-gathering methods and what they mean for analytics.
Tomar decisiones inteligentes a partir de Big Data Analytics se ha convertido ahora en una posibilidad real. La analítica, sin duda, ha revolucionado la manera en la que las compañías se relacionan con sus clientes y ha permitido que se adelanten para brindarles nuevas y apropiadas ofertas en el momento
When you read people’s stories of winning Olympic medals, they often fall into cliché. It's hard not to. In my experience, the nerves, the expectations, the emotions are all heightened beyond what I've ever experienced, so it becomes necessary to use all the hyperbole at your disposal. That said, winning
In many ways financial services is about risk management. Regulatory pressures such as BCBS 239, stress-testing, IFRS9, Solvency II and the Fundamental Review of Trading Book have hugely strengthened that focus. But there are other concerns too. Cost pressures are increasingly important, as is the rise of challengers to the
Analytics experts and decision makers are taking over Las Vegas Sept. 12-14 while attending Analytics Experience. Whether you are in Vegas or need to participate from the luxury of your sofa or office, read on for help to stay connected and be a part of it all. Watch Live There
I'm a very fortunate woman. I have the privilege of working with some of the brightest people in the industry. But when it comes to data, everyone takes sides. Do you “govern” the use of all data, or do you let the analysts do what they want with the data to
Last week I wrote about how to compute sample quantiles and weighted quantiles in SAS. As part of that article, I needed to draw some step functions. Recall that a step function is a piecewise constant function that jumps by a certain amount at a finite number of points. Graph
Since the idea of an “IoT analytical lifecycle,” may be understood in many different ways, let’s start with a definition. Performing analytics at the data center and the cloud is well established practice, and is still quite relevant. With growing numbers of connected devices and availability of computing capabilities at
Anybody can come up with a list of simple colors, such as red, green, and blue. If you're a bit more color savvy, you might even throw in indigo, magenta, and fuchsia. But what about more obscure names such as cornsilk, mistyrose, and midnightblue? This blog post will help you
If cognitive computing were adopted widely by companies in the travel industry, what would a typical trip look like for a business traveler? Might some of your biggest travel frustrations be relieved? Let’s find out. It’s a beautiful day, and you have an important customer briefing in LA. You’ve already
.@philsimon on the downside of the Band-Aid approach.
„Here comes Chicago. 17 seconds, 17 seconds from Game 7 or from Championship number 6. Jordan open. Chicago with the lead.“ Diese Worte eines Fernsehkommentators beschreiben den entscheidenden Wurf von Michael Jordan in Spiel 6 der NBA Finals 1997/98 zwischen den Chicago Bulls und den Utah Jazz, der wohl viele
Critical business applications depend on the enterprise creating and maintaining high-quality data. So, whenever new data is received – especially from a new source – it’s great when that source can provide data without defects or other data quality issues. The recent rise in self-service data preparation options has definitely improved the quality of
SAS was founded on the principal of using analytics to change the world. From fighting cancer and researching the Zika virus to changing the lives of Ghana women by teaching them how to code, SAS has remained committed to helping solve critical humanitarian issues using data and analytics. What SAS has been
Big-Data-Themen und die damit verbundene Datenanalyse werden für Unternehmen immer wichtiger. Wie in meinem vorherigen Blog ausgeführt, ist Big Data (Analytics) deutlich mehr als einfach nur Business Intelligence für große Datenmengen. Stattdessen bilden sie die Basis für neue Geschäftsmodelle und Erfolg oder Misserfolg von Unternehmen oder gar ganzen Branchen.
There’s been an uptick recently in corporations working together to improve patient experiences and even saves lives. From the recent buzz about drug developers coming together to combat Alzheimer’s, to health systems opening data to researchers, companies realize that partnering just might produce the greatest impact.
Everyone who knows about monarch butterflies, likes monarch butterflies. This blog post focuses on their food source - milkweed. And to get you in the mood, here's an amazingly beautiful picture my friend Eniko made of a monarch: In recent years, I had heard reports of the dwindling number of
In my previous post, Are you ready for the Analytics Fast Track? Part I, I shared details of the SAS and Intel proof of concept program, and promised to follow up with information about our “For Purchase” program. Many organizations are looking for sandbox environments that allow their data scientists
This article describes how you can evaluate the Lambert W function in SAS/IML software. The Lambert W function is defined implicitly: given a real value x, the function's value w = W(x) is the value of w that satisfies the equation w exp(w) = x. Thus, W is the inverse
