Es claro que este año que está por finalizar ha traído grandes cambios para todo el mundo en cuanto a transformación digital se trata, se estructuraron cambios en las industrias, la economía e incluso las formas de comunicación con sus clientes. Pero la tecnología no se detiene y cada día que pasa
Artificial Intelligence (AI), Machine Learning und Deep Learning zählen zu den heißesten Themen, die im Markt diskutiert werden. Und dafür gibt es gute Gründe. Zum einen erleben wir, dass Apps und Software generell, Maschinen und Fahrzeuge immer smarter werden. Wir sprechen mit unseren Smartphones. Autos fahren bald selbst. Die automatische
Kim Kaluba says start the journey toward ominchannel with a data strategy based on governance.
A common question on discussion forums is how to compute a principal component regression in SAS. One reason people give for wanting to run a principal component regression is that the explanatory variables in the model are highly correlated which each other, a condition known as multicollinearity. Although principal component
The previous post on Multiple Blank Categories showed how to include multiple blank categories on the axis. But, given the purpose for this was to separate different segments in the data, I also included ideas on how to segmented a discrete axis using reference lines or Block Plot. A similar idea
To make accurate predictions, it is necessary that the sample data you use for model development is compatible with the target population. The distribution of each input used in the model should be similar in the sample and the target population. In your model you should include only those variables
Wo steht eigentlich die europäische Versicherungswirtschaft in puncto Advanced Analytics, KI und Automatisierung? Erleben wir, dass gerade auch in der Assekuranz traditionelle Verfahren der Datenanalyse mit dem Begriff „maschinelles Lernen" überklebt werden? Oder ist die Branche hier schon deutlich weiter? Sind beispielsweise echte Chatbots wirklich schon allgegenwärtig? Aktuelle Einblicke gibt
Todo lo digital es rastreable, medible, identificable y por ende, potenciable. El hecho de que los usuarios dejen huella en cada una de sus interacciones y que las empresas puedan tener en cuenta todos esos micromomentos para tomar mejores decisiones, es lo que ha llevado a que la transformación digital
매년 가을이면 미국 전역의 고속도로, 주택가, 뒷길은 노란색으로 물듭니다. 여름 방학이 끝난 후, 질서 정연하고 조심스럽게 학생들을 학교로 데려가는 통학 버스 때문인데요. 보스턴 공립 학교(BPS; Boston Public Schools)는 지난 학기 동안 매일 버스 650대로 총 4만5,000마일을 달려 2만5,000명의 학생들을 통학시켰습니다. 해당 지역은 전국에서 가장 오래된 공립 학교 구역으로, 이 버스들은
To get full value from analytics programs, Todd Wright says be sure you can first access, integrate, cleanse and govern your data.
In a previous article, I discussed the lines plot for multiple comparisons of means. Another graph that is frequently used for multiple comparisons is the diffogram, which indicates whether the pairwise differences between means of groups are statistically significant. This article discusses how to interpret a diffogram. Two related plots
In a previous article, I discussed the lines plot for multiple comparisons of means. Another graph that is frequently used for multiple comparisons is the diffogram, which indicates whether the pairwise differences between means of groups are statistically significant. This article discusses how to interpret a diffogram. Two related plots
In growing areas such as the Research Triangle Park, there is always the tough decision between developing land for business, or keeping it natural for parks and recreation. SAS is fortunate to have the great hiking trails at Umstead Park just across the road to the north - it's the
In the field of machine learning, online learning refers to the collection of machine learning methods that learn from a sequence of data provided over time. In online learning, models update continuously as each data point arrives. You often hear online learning described as analyzing “data in motion,” because it
You know the value of your SAS Certification; does the rest of the world? A recent MONEY and Payscale.com study named SAS Analytics skills as the most valuable skills to have in today’s job market and certification is the best way to demonstrate those skills. Recognition like this helps solidify
Off and on, users have expressed the need to include multiple blank categories on a discrete axis. Often, this is desirable to separate groups of bars (or categories) in a graph due to some difference their definition. Such a case was discussed in this blog article on using non breaking
Would you like to format your macro variables? Easy! Just use the %FORMAT function, like this: What?! You never heard of the %FORMAT function? Of course not, cuz it doesn't exist! No problem. Just create it, like this: %macro format(value,format); %if %datatyp(&value)=CHAR %then %sysfunc(putc(&value,&format)); %else %left(%qsysfunc(putn(&value,&format))); %mend format; The %FORMAT
Phil Simon chimes in on the tendency to rely upon these tools too much.
SAS will be represented by more than 20 attendees at the INFORMS Annual Meeting at the George R. Brown Convention Center (GBCC) in Houston, Texas. Officially the conference runs from Sunday, Oct. 22 through Wednesday, Oct. 25, but our activities in Houston start even earlier. Technology Workshops on Saturday, October
Last week Warren Kuhfeld wrote about a graph called the "lines plot" that is produced by SAS/STAT procedures in SAS 9.4M5. (Notice that the "lines plot" has an 's'; it is not a line plot!) The lines plot is produced as part of an analysis that performs multiple comparisons of
ODS Graphics procedures primarily strive towards the following goal: "Make simple graphs easy and complex graphs possible". SGPLOT procedure allows you create simple graphs with a single plot statement, and create complex graphs by layering together or combining multiple plot statements. Generally, the appearance follows the guidelines set by industry
In this education analytics series of blog posts, we have been on a journey to learn how education customers are turning their data into insights to be a more data-informed and analytical organization. So far on our journey, we learned how education customers are using SAS, the positive impact that SAS
Als ich neulich mal wieder auf der Autobahn unterwegs zu einem Kundentermin war, habe ich im Radio einen Beitrag gehört, der mich stutzig machte und zum Nachdenken brachte. In dem Beitrag ging es darum, dass eine Fitnesskette demnächst das größte Fitnessstudio der Welt in Deutschland eröffnen will. Und der Clou
모바일 퍼스트(Mobile First)를 넘어선 모바일 온리(Mobile only) 시대입니다. 스마트폰이나 태블릿 PC로 언제 어디서나 온라인 쇼핑몰, 모바일 앱, 소셜 미디어 등 다양한 플랫폼을 통해 정보를 검색, 공유하고 제품을 구매할 수 있죠. 이처럼 기업이 고객과 만나는 접점은 그 어느 때보다 다양해지고 있으며, 그만큼 고객의 요구와 기대의 변화에 귀를 기울이고 재빠르게 대응해야 할 필요성이
No es un golpe de suerte o una tendencia anómala la emitida por IDC que sustenta que entre 2015 y 2019 la inversión en tecnologías de análisis de datos crecerá un 50%, alcanzando en ese último año los US$187.000 millones. Tampoco lo es que para este año se estime que el
I’ve been making note of recent interactions and observations with different companies that I’ve done business with lately. My goal is to share with you real ways in which excellent customer experiences are shaped. Observation #1: Witty conversations rule As I write this, I’m sitting at a Panera Bread restaurant
As analytics advances into more areas of our everyday life there is an increased need to understand just what it is that analytics is accomplishing for us. I find there is a quicker acceptance of an analytical solution and even excitement if there is a good conceptual understanding of what
Jim Harris says more reusable data quality processes mean less reliance on IT and higher productivity across the board.
I recently took a trip to Scotland, to attend the Highland Games! (ok - that statement might be a tiny bit misleading) It was a very cool and interesting event, and I wondered where and when other such events might be happening. What better way to analyze this kind of
The article "Fisher's transformation of the correlation coefficient" featured a Monte Carlo simulation that generated sample correlations from bivariate normal data. The simulation used three steps: Simulate B samples of size N from a bivariate normal distribution with correlation ρ. Use PROC CORR to compute the sample correlation matrix for
