Bogotá, octubre de 2013 - La gestión de riesgos empresariales se ha convertido en una de las mayores preocupaciones para las organizaciones en la actualidad. Se trata de un tema que va más allá del cumplimiento de reglamentaciones y que en un país como Colombia tiene su máximo grado de
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Each year on New Year's Day I write down a list of New Year's resolutions. Most of them are garden variety resolutions – sleep more and eat better, for example – but occasionally I'll get caught up in the possibilities of a new year and commit to something I realize
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High in the mountains of Colorado, Foresight editor-in-chief Len Tashman previews the new issue: What proficiencies are essential for today’s business forecasters and planners? Sujit Singh offers a detailed and quite formidable list in Critical Skills for the Business Forecaster, our feature article in this 32nd issue of Foresight. While
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I began 2014 by compiling a list of 13 popular articles from my blog in 2013. Although this "People's Choice" list contains many articles that I am proud of, it did not include all of my favorites, so I decided to compile an "Editor's Choice" list. The blog posts on
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Recency, Frequency, and Monetary Analysis (or RFM) is a popular customer segmentation technique employed by database marketers everywhere. Marketers use RFM to identify which customers are most likely to respond to a direct marketing campaign. The model takes into account three simple metrics: How recently did the customer buy from
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SHA256 and other hash functions are supported in SAS 9.4 and SAS Viya. It's better than MD5 as a cryptographic hash!
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Interested in text mining? This week's SAS tip is from the new book - Text Mining and Analysis: Practical Methods, Examples, and Case Studies Using SAS by Goutam Chakraborty, Murali Pagolu, and Satish Garla. This hands-on guide is getting strong early reviews - and perhaps you'd like to write your own after reading the
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We ended last time having selected a cluster of surrogate products -- a subset of the original selection of like-items that had the same attributes as the new product. Judgment has been used throughout the process so far, in specification of the relevant attributes, filtering the original candidate pool of
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Watching the news recently it occurred to me that many of the stories involved data in some way. Many of the reports from the recent Consumer Electronics Show showcased products to enable users to create and use ever-growing personal collections of data. Want data on how well you sleep? No
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Seems like we've been here before. It is January, so time again to announce the Fortune 100 Best Companies to Work For in the US. This year SAS is at #2, our fifth straight year in the top 3, over which our average rank has been 1.8. We've covered this topic
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The Query step begins by selecting like-items based on the appropriate product attributes, then reviewing historical sales of past new product introductions. Continuing with the DVD example, suppose the new release is an R-rated horror movie. For like-items, we would query our database and pull the history of all prior
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Late last month, while many of us were sipping eggnog and decking halls with boughs of holly, SAS released the 13.1 version of its analytical products. Readers of Maura Stokes' newsletter, SAS Statistics and Operations Research News (Nov 2013), have already been alerted to new features in products such as
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Every day of the year is an official 'national day' for something - here's a SAS chart to help you find which bizarre 'national day' falls on your birthday! I recently read an article that lists weird and unconventional national days. It was very interesting, but I found the data
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If you’ve been over to sas.com at all in the last week, you’ve probably noticed our relaunched site. The changes are kind of hard to miss. But it’s not just the home page that’s changed. And it’s not just a cosmetic redesign. The whole site has been revamped with a goal toward
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Vector languages such as SAS/IML, MATLAB, and R are powerful because they enable you to use high-level matrix operations (matrix multiplication, dot products, etc) rather than loops that perform scalar operations. In general, vectorized programs are more efficient (and therefore run faster) than programs that contain loops. For an example
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In the previous installment we were reminded of the potential abuses of forecasting by analogy. People are naturally reluctant to forecast that their new product idea is going to flop. Therefore, there is an inclination to ignore similar items that failed in the marketplace, or apply less weight to the failures than
Over the years, we have published a good variety of statistical books. SAS for Mixed Models is one of our top sellers, as is Categorical Data Analysis Using SAS and SAS for Linear Models. And our books on survival analysis and logistic regression by Paul Allison are always a big
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So Ed and I have started the new year right by taking a trip. We’re in Washington, DC for the 223rd meeting of the American Astronomical Society. (These dudes have been getting together for a long time.) Here’s the fun part: we’re showing off a cool new eBook that SAS
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The real estate market provides a good example of the use of analogies. To determine a reasonable listing price for a property (such as this dump on the right) that is new on the market, the sales agent will prepare a list of "comps" (comparable homes) that are currently on the market or
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When you create maps, you are typically plotting data for analytics -- but you can also use SAS to create 'pretty' maps for background decorations (for posters, slides, presentations, etc). This blog shows you a few examples... A few years ago I noticed that the CNN Situation Room had a decorative
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In 2013 I published 110 blog posts. Some of these articles were more popular than others, often because they were linked to from a SAS newsletter such as the SAS Statistics and Operations Research News. In no particular order, here are some of my most popular posts from 2013, organized
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Sure, you have a great looking table and you produce it with PROC TABULATE. And then, bam! Your boss comes along and decides that since your output looks so good in Word, that he’d like that boilerplate paragraph inserted automatically. Currently, you produce the tables and then pass the RTF
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Because I began my SAS career in the Publications division, I like to think that I have a keen eye when it comes to SAS documentation. When I first visited the SAS 9.4 online documentation, I immediately noticed that it had a different look. Examine the image below; can you
![SAS Statistics by Example](https://blogs.sas.com/content/sastraining/files/2014/01/Cody_StatsbyExcover.Jan14.jpg)
Ron Cody starts things off right with our first SAS tip of 2014. If you resolve to become a better statistical programmer this year, Ron's book SAS Statistics by Example is a great place to start. After you take a look at this week's free excerpt from the book, head over to Ron's author page. You'll
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How do you build a forecast when you have no historical data? This is a recurring challenge for businesses that update their product offerings, and a recurring question in online forecasting discussion groups (e.g. this one on LinkedIn). The bad news is that you probably can't expect to achieve highly
Lately, there's been lots of buzz around the logical data warehouse (LDW). In fact, Gartner is hearing LDW mentions as part of data warehouse (DW) inquiries almost 20% of the time and considers it a "megatrend." The definition usually includes some use of data virtualization or data federation capabilities to complement
One of the benefits of running an online data quality and data governance community is that over the course of many interviews, you start to see common threads and patterns emerging in the way practitioners create success in their data-driven programs. Data governance is a relatively new discipline, so it’s
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Nein: Euphorie sieht anders aus. Der Medienprofi Rudi Klausnitzer gehört nicht zu den Menschen, die Big Data als das „neue Öl“ bejubeln oder in der Datenflut ein Allheilmittel sehen. Stattdessen wirft er einen kritischen, nüchternen, realistischen Blick auf die schöne neue Datenwelt – und pocht auf die an sich nicht
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Twas the night before "big data," when all through the data center Not an IT supervisor was stirring, not even the help desk on-call. The servers where all humming along nicely in hopes Big data would soon be there. The business users were nestled all snug in their offices
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My children learned this skill early in life: when you want to secure permission for a questionable activity (say, "watch 5 hours of Phineas and Ferb" or "eat a bowl of candy for breakfast"), you should approach the most lenient adult in the household. In my early days of fatherhood,