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Advanced Analytics

Emily LadaDecember 4, 2014 0

Using simulation to help Duke Hospital's tiniest patients

Last year, my SAS Simulation Studio R&D team began a discrete-event simulation modeling project of a neonatal intensive care unit (NICU) with two doctors from Duke University’s Division of Neonatal-Perinatal Medicine. After several initial meetings discussing such things as necrotizing enterocolitis (NEC), retinopathy of prematurity (ROP), patent ductus arteriosis (PDA), and

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Stuart RoseDecember 3, 2014 0

Can I Quote You on That? - 2014 in review

Earlier this year, I was speaking with an insurance executive and he said something that turned out to be my favorite quote of 2014: “Premium revenue is like heroin.” While this seems like an unlikely analogy or simile?. The point this executive was trying to make an interesting argument. Insurance

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Analytics

James EnochDecember 3, 2014 0

Top 20 Procs in SAS University Edition

SAS University Edition has been available for free download for six months – in that time we’ve seen 50,192,670 PROCs or DATA steps executed globally – that’s almost 4,000 hours duration! Now, we were founded on stats so we thought we’d bring you some of the key metrics we’ve discovered over

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Customer Intelligence

Natalie OsbornDecember 3, 2014 0

Web analytics for hospitality: It’s time for better data and better integration

There’s a lot of talk about modernizing hospitality marketing – and most of it is dependent on finally cracking the nut between online and offline guest data and bringing predictive analytics to play. But there is a fundamental problem hampering our ability to do this and it starts with how hospitality

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Rick WicklinDecember 3, 2014 0

Pascal's triangle in SAS

Pascal's triangle is the name given to the triangular array of binomial coefficients. The nth row is the set of coefficients in the expansion of the binomial expression (1 + x)n. Complicated stuff, right? Well, yes and no. Pascal's triangle is known to many school children who have never heard of polynomials

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Advanced Analytics | Analytics

Mike GillilandDecember 2, 2014 0

SAS forecasting and econometrics "tip of the week"

SAS Support Communities provide a forum in which to engage and share with your fellow SAS experts, now in over 20 topic areas including Forecasting and Econometrics. This is the go-to website for your hard core modeling questions, such as "Holdouts in PROC ARIMA," "2-stage Heckman (1979) procedure," and the

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Internet of Things

Tom MorseDecember 2, 2014 0

An IoT-connected Christmas

As 2014 slowly winds down it’s time to gear up for the holiday shopping rush. As in recent years the Consumer Electronics Association reports tech gifts will again be high on everyone’s list this holiday shopping season. A new addition to the list this year are numerous Internet of Things

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Advanced Analytics | Analytics

Mike GillilandDecember 2, 2014 0

Foresight/SAS webinar December 3: Getting real about uncertainty

Just a reminder that on Wednesday, December 3, 10:00am ET, Paul Goodwin will be delivering the next Foresight/SAS Webinar on "Getting Real About Uncertainty." From the description: Many forecasts only tell us about things like probable events, expected sales and prospective demand. Often they tell us nothing about the level

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Data Management

Leo SadovyDecember 2, 2014 0

Big Silos: The dark side of Big Data

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

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Data Management

David LoshinDecember 2, 2014 0

Demonstrating master data accessibility

I have probably touched on this topic many times before: accessing the data that has been loaded into a master data environment. In recent weeks some client experiences are really highlighting something that is increasingly apparent (and should be obvious) for master data management: the need to demonstrate that it

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Data Management

Joyce Norris-MontanariDecember 1, 2014 0

Cracking the code to successful conversions: Enterprise data modeling

There are multiple types of data models, and some companies choose to NOT data model purchased software applications. I view this a bit differently. I think that any purchased application is part of our enterprise, thus it is part of our enterprise data model (or that concept is part of the

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Fiona McNeillDecember 1, 2014 0

Seth Grimes with More on Text Analytics

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

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Advanced Analytics | Learn SAS | Programming Tips

Compute minimum and maximum of rows and columns in SAS

Rick WicklinDecember 1, 2014 0

Compute maximum and minimum values for rows and columns in SAS

A common question on SAS discussion forums is how to compute the minimum and maximum values across several variables. It is easy to compute statistics across rows by using the DATA step. This article shows how to compute the minimum and maximum values for each observation (across variables) and, for

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Data Management

Dylan JonesNovember 28, 2014 0

Looking at application procurement through a data quality lens

When you examine where most data quality defects arise from, you soon realise that your source applications are a prime culprit. You can argue that the sales team always enter incomplete address details, or the surgeons can't remember the correct patient type codes but in my experience the majority of

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Advanced Analytics | Analytics

Mike GillilandNovember 26, 2014 0

IBF blog series on Forecast Value Added

Calling All Forecasters Have you tried Forecast Value Added analysis? What did you find out? Are you willing to share your learnings (at least those that can be revealed publicly)?Would you like to be featured in a new blog series on FVA, published by the Institute of Business Forecasting? The IBF was

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Pamela PrenticeNovember 26, 2014 0

How many holiday shoppers will brave the crowds on Thanksgiving?

‘Tis the day before T-Day and all through the mall The shoppers are waiting for prices to fall. The signs they are printed and ready to hang In hopes that “Black Thursday” will start with a bang. The family has traveled and all gathered here To spend time with grandma

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Kelly McGuireNovember 26, 2014 0

Be thankful for great hospitality and customer service

I generally don’t use this blog to air my personal experiences, but recent events have reminded me of a few things that I think would benefit our Analytic Hospitality Executives and their organizations to also be reminded of. This past week, I took my fifth trip to Asia this year.

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Data Management

Jim HarrisNovember 26, 2014 0

Data needs a Copernican Revolution

Data. Our industry really loves that word, making it seem like the whole world revolves around it. We certainly enjoy revolving a lot of words around it. We put words like master, big, and meta before it, and words like management, quality, and governance after it. This spins out disciplines

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SAS ColombiaNovember 26, 2014 0

Los cuatro mitos de un CIO moderno

Un Chief Information Officer tiene ciertas características que lo hacen desempeñarse dentro de un rol único. Sin embargo, gracias a los retos que conlleva ahora la implementación de proyectos de analítica avanzada en las organizaciones, han surgido algunos mitos que rodean el rol de TI. Keith Collins, Vicepresidente Senior de

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Rick WicklinNovember 26, 2014 0

The Wishart distribution: Covariance matrices for multivariate normal data

I've written about how to generate a sample from a multivariate normal (MVN) distribution in SAS by using the RANDNORMAL function in SAS/IML software. Last week a SAS/IML programmer showed me a program that simulated MVN data and computed the resulting covariance matrix for each simulated sample. The purpose of

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Students & Educators

Dr. Laurie MilesNovember 25, 2014 0

SAS and Tech Partnership research reveals soaring demand for big data skills in the UK

Having worked in analytics for over 25 years, I’ve never really felt part of the ‘cool gang’. However that’s changing and all of a sudden, at long last, it is "chic to be geek!" Research published by SAS UK and the Tech Partnership reveals that from 2013 to 2020, the

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Analytics

Jeremy RacineNovember 25, 2014 0

Lack of access to mental health care becoming a crisis

A lack of mental health professionals is pushing the US mental health system to a crisis point. And even if a psychiatrist commits someone to a facility, there may not be a bed for them. A startling 55 percent of all US counties have zero psychiatrists, psychologists or social workers

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Advanced Analytics | Analytics

Mike GillilandNovember 24, 2014 0

Lancaster Centre for Forecasting survey

Can you spare a few minutes to assist researchers at the Lancaster Centre for Forecasting? We have been commissioned by the European Journal of Operational Research to write a review article on Supply Chain Forecasting. In undertaking this task, we would like to ensure that the topics covered reflect the priorities

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Analytics | Data Management

Suzanne ClaytonNovember 24, 2014 0

Be proactive. Be a trailblazer with data.

For many industries, big data analytics have opened numerous doors for more employees to be groundbreaking and to challenge the corporate status quo. Prior to big data technologies, risk taking behaviors were primarily reserved for provocative souls who stretched organizational boundaries to disrupt industries, such as airline revenue management. There were winners and losers

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Data Management

Joyce Norris-MontanariNovember 24, 2014 0

Cracking the code to successful conversions: Facilitated session and follow-up interviews

Don't be shy! Interviewing people BEFORE or AFTER a facilitated session just takes a bit of confidence, and good preparation. Building your confidence gets easier and easier the more you participate in interviews. The objective is to prepare and not waste anyone’s valuable time. I like to prepare notes based on

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Learn SAS

Rick WicklinNovember 24, 2014 0

Overview of new features in SAS/IML 13.1

SAS software contains a lot of features, and each release adds more.To make sure that you do not miss new features that appear in the SAS/IML language, the word cloud on the right sidebar of my blog contains numbers that relate to SAS or SAS/IML releases. For example, you can

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Analytics | Data Visualization

Lloyd GobblerNovember 22, 2014 0

Thanksgiving data visualization from the White House turkey

Well, this is a kick to the giblets. I assumed when I was summoned to the White House it was in recognition of my tireless advocacy for turkey rights. I wasn’t expecting a press conference in the rose garden or anything, just a meet and greet with the prez and

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Klaus FabitsNovember 21, 2014 0

Big Data? Ich kann es schon nicht mehr hören!

„Wieder ein Berater, wieder ein Systemintegrator, wieder ein Outsourcer und wieder ein Software- oder Hardware-Hersteller, der mir erzählt, dass Big Data der Trend der Zukunft ist. Jeder erzählt mir, wie wichtig „Big Data“ für mein Unternehmen sind. Und wenn ich hier nicht zustimme, bin ich gleich ein Innovationsverweigerer. Die Nachfrage

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Analytics | Fraud & Security Intelligence

Jen DunhamNovember 21, 2014 0

The enemy within: When trusted access turns into insider threat

Not all fraud originates from the dark underground of criminal enterprises. In fact, fraud could literally be right under our noses, or in the cubicle next to us. The “Insider Threat” has many names – internal fraud, occupational fraud, even espionage – and uses authorized internal access and knowledge to

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Analytics

Jon LemonNovember 21, 2014 0

Four-step approach to government fraud detection

Every day there are news stories of fraud perpetrated against federal government programs. Topping the list are Medicaid and Medicare schemes which costs taxpayers an estimated $100 billion a year. Fraud also is rampant in other important federal programs, including unemployment and disability benefits, health care, food stamps, tax collection,

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