Wer es von Ihnen, liebe Leser, bis hierhin geschafft hat, herzlichen Glückwunsch! Und auch vielen Dank an die Engel, denn die rackern sich gerade ganz schön ab. Während wir uns innerlich auf den 24. Dezember vorbereiten und gemütlicher werden, drehen die Engel nochmals richtig auf. Heute überführt ein Algorithmus ein
Did you know that Tuesday, Nov. 24, was #ThankfulTuesday? This themed day was just two days before Thanksgiving and joined the ranks of newly invented opportunities such as #WorldPastaDay and #NationalMotherInLawDay to collectively post on social media about a single topic. Appropriate to the season of giving thanks, many people
Wie angekündigt traf das Christkind gestern unseren Einzelhändler. Er hielt es tatsächlich für eine außerirdische Erscheinung. Er ist ja ein Mann der Menschentat. Er ist einer, der viel von Text Analytics und Net Promoter Scores hält. Texte und deren Analyse sind die eigentliche Religion vom Einzelhändler M. Hier geht zu den Türchen
Recently, I have been thinking about how search can play more of a part in discovery and exploration with SAS Text Miner. Unsupervised text discovery usually begins with a look at the frequent or highly weighted terms in the collection, perhaps includes some edits to the synonym and stop lists,
Analyzing text is like a treasure hunt. It is hard to tell what you will end up with before you start digging and the things you find out can be quite unique, invaluable and in many cases full of surprises. It requires a good blend of instruments like business knowledge,
Erfahrungen aus einem Selbstversuch mit SAS Contextual Analysis Bitte verstehen Sie mich nicht falsch. Ich bin unseren SAS Produkten und SAS Lösungen gegenüber in keinster Weise misstrauisch! Trotzdem wollte ich die Möglichkeiten unserer neuen Lösung für Text Analytics „SAS Contextual Analysis 14.1“ auf der eigenen Haut spüren und verstehen lernen.
Big data is here to stay, whether we like it or not. Regardless of how you feel about it, it can help solve problems which simply could not be addressed without big data and advanced analytics. One area in which big data and analytics can provide huge benefits is the medical arena. In a recent
with Natalie Osborn, Senior Industry Consultant, Hospitality and Gaming Practice, SAS We’ve taught analytics 101 through the last couple of blog posts, and now that you have passed that course, you are ready to take an advanced course in analytics. Ok, not really, we won’t subject you to that, but
It’s me again!! We're at the halfway point of meeting our Strata + Hadoop World dream team. So far, you’ve met machine learning guru Patrick Hall; data management expert Clark Bradley; and advanced analytics specialist Rachel Hawley. Next up … Dan Zaratsian! I met Dan a few years back while preparing for Analytics 2013
The benefits of big data often depend on taming unstructured data. However, in international contexts, customer comments, employee notes, external websites, and the social media labyrinth are not exclusively written in English, or any single language for that matter. The Tower of Babel lives and it is in your unstructured
When I ask people what they know about Denmark they often mention Hans Christian Andersen. He was born in Denmark in 1805 and is one of the most adored children’s authors of all time. Many of his fairy tales are known worldwide as they have been translated into more than
Machine learning is all about automating the development process for analytical models. One way to extend the use of machine learning is to broaden your library of machine learning algorithms. Another way is to scale your machine learning process by reducing the time required to process machine learning algorithms on
While discussing ways and means to improve Sales and Operations Planning (S&OP) and forecasting, many a time business executives ask “What can we do with social media?" This was definitely NOT a usual topic in S&OP forum just a few years back! Most of the time, I push back the
~ 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
Double negatives seem to be everywhere, I have noticed them a lot in music recently. Since Pink Floyd sang "We don't need no education", to Rihanna's "I wasn’t looking for nobody when you looked my way". My own favourite song with a double negative is "I can't get no sleep" - Faithless. This
Today’s natural language processing (NLP) systems can do some amazing things, including enabling the transformation of unstructured data into structured numerical and/or categorical data. Why is this important? Because once the key information has been identified or a key pattern modeled, the newly created, structured data can be used in
This is a follow up to last week’s blog on understanding your customers’ perceptions of quality. As the world’s largest manufacturer of PCs and tablets, Lenovo is always looking for areas to reduce costs while increasing quality and customer satisfaction. Six months ago, Lenovo implemented the Lenovo Early Detection (LED) system
People are talking about your products. But more importantly, they’re listening. Facebook, Twitter, review sites, and product forums are just a few of the sources that a savvy customer checks when making a buying decision. This reality has fundamentally changed the definition of quality. It’s no longer sufficient to conform
In February of this year, the Washington Business Journal reported the US Government appointed its first Chief Data Scientist, DJ Patil. With this, I think it’s now safe to say that Data Science is officially sanctioned as new mode in organizations. Those that can apply the necessary finesse along with
Warranties have a long - and some might say - interesting past. But the future is even brighter. New technologies and data sources are transforming our understanding of field quality, enabling deeper insights into product performance and customer preferences. These breakthroughs are accelerating the quest to reduce defects and satisfy customers.
Recently, I had the opportunity to talk with James Haight of Blue Hill Research regarding the Internet of Things and how it is and will impact manufacturers. We also dipped our toes into other topics, including text analytics and the interesting combination of all these trends. The conversation was captured
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
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
I don’t know why I’m on this medical theme lately – maybe it’s because my parents are aging. They talk about bits falling off, take lots of naps and describe how body parts don’t work like they used to. They’ve gone to pre-packaged pills – dividing up their medications by
The bigness of your data is likely not its most important characteristic. In fact, it probably doesn’t even rank among the Top 3 most important data issues you have to deal with. Data quality, the integration of data silos, and handling and extracting value from unstructured data are still the most
Perhaps it’s the same for you - it’s getting harder to get to all the conferences I’d like to attend. One of the benefits of getting out there is a chance to learn about different perspectives in an industry. When someone has a broad perspective, particularly if they’ve been in
Big data is of no use unless you can turn it into information and insight. For that you need big analytics. Every piece of the analytics cycle has been impacted by big data, from reporting, with the need to quickly render reports from billions of rows of data, through advanced
My Mum could have been a doctor – most can’t read her handwriting. It’s only because I’ve been trained to read it, I can. The analysis of unstructured data is similar. Text analysts can be quickly overwhelmed to learn that you have to manually develop a training corpus. Reading a
I’ve written about using text analytics to capture comprehend and act on the voice of the customer on this blog before. Recently, I recorded a short presentation that outlines how text analytics provides insight from all of the customer experience data that you collect, not just review data from social
While managing quality within the four walls of your own operation is all well and good and totally necessary, both the market and your bottom line are demanding a more holistic, quality lifecycle approach, and in support of that aim there is a treasure trove of downstream data waiting to be
