Michael HerrmannDecember 15, 2015 0

Christkind als Data Quality Steward (SAS Adventskalender 15. Türchen)

Die Produktion läuft endlich an: Geschenke in hoffentlich höchster Qualität werden gefertigt. Und das Christkind blickt wohlwollend auf dies’ Gewusel seiner Lieferanten und seiner Engel. Kann das gutgehen? Ja. Denn das Christkind hat himmlische Governance. Data Governance und Qualitätsregeln. Außerdem hat es eine ganze Reihe an analytischen Tools des Vertrauens gelernt!

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German

Leo SadovyDecember 15, 2015 0

Automating bad decisions and the Ladder of Inference

There’s more than one way to make a poor decision.  Bad data, inappropriate assumptions and flawed logic are just three of the missteps you can take on your climb up the Ladder of Inference, a concept first developed by Chris Argyris, professor of business at Harvard, in 1974, and later popularized

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English

Elizabeth BautistaDecember 15, 2015 0

Tres consejos que no puede olvidar si pretende hacer del Big Data su aliado este 2015

La industria de seguros ha entrado en la época ilustrada y estratégica de la analítica, actualmente las aseguradoras tienen entusiasmo sobre el potencial de los grandes datos. Hace cinco años, sólo los pensadores más avanzados de la industria habían oído hablar de la importancia del Big Data, hoy el despegue

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Spanish

Advanced Analytics

Kenneth SanfordDecember 14, 2015 0

Vector autoregressive models for generating economic scenarios

Macroeconometrics is not dead: (and I wish I had paid better attention in my time series course): I wrote this on the way to see one of our manufacturing clients in Austin, Texas, anticipating a discussion how to use vector autoregressive models in process control. It is a typical use

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English

Nicole TschauderDecember 13, 2015 0

Analytics wird mit Nils Holgersson einstudiert (SAS Adventskalender 13. Tür)

Heute wird rekapituliert. Heute nimmt sich das Christkind die Zeit, um Revue passieren zu lassen, was gut und was schlecht gelaufen ist. Es wird herausfinden, was sich gelohnt hat zu lernen und was es lieber wieder vergessen möchte. Auch die Engel werden befragt. Heute werden die vergangenen 12 Tage betrachtet

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German

Customer Intelligence

Lee Ann DietzDecember 9, 2015 0

The Connected Traveler

A few weeks ago I had the opportunity to attend the 2015 EyeforTravel Connected Traveller Conference. Based on the spelling of the word “traveller” which my American version of MS Word continuously wants to autocorrect, you can correctly assume the conference was hosted in London. During the conference, one phrase

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English

Hospitality

Data Management

David LoshinDecember 8, 2015 0

Big data integration as a service

I've seen a number of articles and webinars recently that discuss data integration as a cloud-based service. So I thought it was worth exploring what this really means in the context of big data – specifically when the objective is to exploit many sources of streaming data for analytics. My initial reaction

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English

Advanced Analytics | Analytics

Mike GillilandDecember 7, 2015 0

Know your forecastability (and maybe save your job)

Journal of Business Forecasting columnist Larry Lapide is a longtime favorite of mine. As an industry analyst at AMR, and more recently as an MIT Research Affiliate, Larry's quarterly column is a perpetual source of guidance for the practicing business forecaster. No wonder he received IBF's 2012 Lifetime Achievement in

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English

Data Management

Nicole TschauderDecember 5, 2015 0

Clusteranalysen: In der Gruppe stark (SAS Adventskalender 5. Türchen)

Das Christkind ist ausgesprochen zufrieden mit sich und seinen Vorbereitungen. Wir möchten vermuten, dass dem Christkind die Komplexität seiner Aufgabe (trotz zweitausendjähriger Geschichte) erst jetzt so richtig dämmert. Es hat gelernt, assoziativ zu suchen, Kommentare der Kinder zu analysieren und aus allem die richtigen Schlüsse zu ziehen. Heute verfeinert es

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German

Advanced Analytics | Analytics

Mike GillilandDecember 4, 2015 0

FOBFD Greg Fishel makes headlines on climate change

WRAL Chief Meteorologist (and Friend Of the Business Forecasting Deal) Greg Fishel garnered national attention recently with a thoughtful (yet to some, provocative) blog post on climate change. In the post, Fishel chronicled his evolving thought on the subject. He argued for an end to the political partisanship that stifles

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English

Nicole TschauderDecember 4, 2015 0

Text Analytics / Net Promoter Scores - SAS Adventskalender 4. Türchen

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

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German

Machine Learning

David PopeDecember 4, 2015 0

The twelve days of big data analytics

On the first day of Big Data Analytics my colleagues sent to me: A data scientist discussing a decision tree On the second day of Big Data Analytics my colleagues sent to me: Two business analysts and A data scientist discussing a decision tree On the third day of Big Data Analytics my

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English

Customer Intelligence

Sandra HernandezDecember 3, 2015 0

¿Cómo mejorar la relación con los clientes? Descubra el poder de Customer Decision Hub

¿Cómo pueden las empresas dar seguimiento a un cliente con tantos canales de comunicación y dispositivos a su alcance? ¿Cómo puede capitalizar una empresa el conocimiento que ya tiene de sus clientes? ¿Cómo optimizar la relación con el cliente? ¿Cómo convertir una mejor relación en oportunidad de negocio o -aún

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Spanish

Analytics

Robert BlanchardDecember 2, 2015 0

Top three reasons to become a data scientist

Data science is hot. You've undoubtedly heard a lot about the field and the role of the data scientist, now it's time to learn more. So, here are the top three reasons to become a data scientist. 1 – For the enjoyment of creating and building new “things” No, data scientists do not

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English

Nicole TschauderDecember 2, 2015 0

Engel beruhigen das Christkind mit Analytics - SAS Adventskalender 2.Türchen

Das Christkind ist unzufrieden! Bald ist Weihnachten und die Vorbereitungen laufen nur langsam an. Stress liegt in himmlischer Luft. Und wenn ein Christkind gestresst ist, müssen die Engel stramm stehen. Doch weil Engel immer eine Lösung haben, sind sie Engel. Öffnen Sie das 2. Türchen und schauen Sie hinter die

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German

Work & Life at SAS

Page CvelichDecember 1, 2015 0

Checking in...how would your teens rate the family Thanksgiving celebration?

Parents, My boys are now young adults, but when I read a blogpost by Kari O'Driscoll about "What NOT to Say to a Teen Girl on Thanksgiving", I found myself remembering some very awkward moments around the dinner table from past years. Her first point, which has nothing to do

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English

Data Management

David LoshinNovember 30, 2015 0

Extra-enterprise data

There is no doubt about it – over the past few years there has been a monumental shift in how we think about “enterprise” data management. I believe this shift has been motivated by four factors: Open data. What may have been triggered by demands for governmental transparency and the need

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English

Data Visualization | Risk Management

Ian JonesNovember 27, 2015 0

From boom to bust: Searching for sustainability in the new oil climate

Times have changed. As the oil industry shutters and sheds investments that made sense during the two-year period in which oil rode comfortably above $90, the market is establishing a new equilibrium at $40/barrel. This despite the fact that the Baker Hughes domestic rig count is down 64 percent. It’s

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English

Rick WicklinNovember 18, 2015 0

Create a map with PROC SGPLOT

Did you know that you can use the POLYGON statement in PROC SGPLOT to draw a map? The graph at the left shows the 48 contiguous states of the US, overlaid with markers that indicate the locations of major cities. The plot was created by using the POLYGON statement, which

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English

Data Management

Phil SimonNovember 17, 2015 0

Data beyond boundaries: Reexamining the role of the data-governance council

.@philsimon on whether data governance is still relevant.

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English

Analytics | Data Visualization

Robert AllisonNovember 13, 2015 0

How to build a customized voter registration data viewer

With a major election coming next year, I was wondering if there have been any shifts & changes in the voters in my state.  This seems like an interesting opportunity for some data analysis, eh!?! To get you into the spirit of elections, here's an "I Voted" sticker from my friend

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English

Government

Customer Intelligence

Sandra HernandezNovember 11, 2015 0

¿Cómo abordar una estrategia Omnicanal en la era digital?

El 53% de las empresas cree que la gestión de la experiencia de cliente le proporciona una ventaja competitiva en el mercado. Estas organizaciones ya entendieron que sus clientes son su activo más importante y que sus canales digitales abren millones de posibilidades para mantenerlos contentos y satisfechos. (vapingzone.com) El

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Spanish

Machine Learning

Leo SadovyNovember 10, 2015 0

How steep is your learning curve? On Analytics and Mentors ...

Having a mentor is the number one factor in increasing the steepness of your personal learning curve. So says my oldest, Garik, a Park Scholar at North Carolina State University (class of 2012), during a discussion he recently had with the incoming Park Scholar class of 2019. To accept the

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English

Alison BolenNovember 9, 2015 0

3D printing: yes or no?

By now, you’ve probably seen a video of a 3D printer discharging layers of plastic to create a model of a building or a plastic figurine. You may have heard stories about 3D printed guns, 3D printed airplane parts and even 3D printed body parts. While 3D printers are becoming more common, they are

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English

Manufacturing

Customer Intelligence

Sandra HernandezNovember 6, 2015 0

Machine Learning: la tecnología secreta de Amazon y Netflix

Alguna vez se ha preguntado ¿cómo una empresa como Amazon puede publicar ofertas instantáneas que le pueden interesar, al mismo tiempo que está viendo otro producto?, ¿cómo hace Netflix para recomendarle películas y acertar en sus gustos?, ¿cómo una entidad financiera es capaz de hacer una proyección y darle respuesta

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Spanish

Internet of Things

Suzanne ClaytonNovember 4, 2015 0

What communications companies need to play in the digital arena

Like retailers, Communications Service Providers (CSPs) interact with customers in multiple ways during the buy, use and share journey. These interactions take place at stores and on websites, Facebook pages, call centers, and other channels. However, unlike retailers, CSPs are having a harder time providing a seamless experience across their many channels.

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English

Tuba IslamNovember 3, 2015 0

Widening the use of unstructured data

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,

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English

Data Visualization | Learn SAS | Programming Tips

Leonid BatkhanNovember 3, 2015 0

SAS to the rescue: claiming your location on Google map by address only (without knowing latitude and longitude)

➤ DISCLOSURE! In June 2018 Google introduced changes to the way it handles its Maps platform. They now require API key in order to embed a map, plus Google Maps "projects" must now be associated with a billing account. Unless these new Google rules are met, Google maps described in

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English

Gerhard SvolbaOctober 30, 2015 0

SAS Contextual Analysis: ein Selbstversuch

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.

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German

Data Management

Phil SimonOctober 28, 2015 0

Managing big data, Part 2: Human questions and considerations

.@philsimon on the soft skills that Big Data requires.

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English