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Analytics

Find out how analytics, from data mining to cognitive computing, is changing the way we do business

Analytics

Aiman ZeidMay 5, 2014 0

Building an analytics culture

All Analytics spoke with several leaders at the recent SAS Global Forum Executive Conference on what it means to build an analytics culture. Here’s a video of those conversations. The video features several sections related to building an analytics culture: Kim Nevala, Director of Business Strategy for the SAS Best

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Analytics | Data Visualization

Robert AllisonMay 5, 2014 0

What's the real U.S. unemployment rate?

Which would you rather see - a table of numbers, or a nice graph? When it comes to unemployment numbers, I vote for the graph! The Bureau of Labor Statistics (BLS) provides several tables of data about the U.S. workforce. One such table (Table A-15) provides several different alternative measures

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Analytics | Data Management | Data Visualization

Mary OsborneMay 4, 2014 0

May the Fourth Be With You!

I'm an avid Star Wars fan, and am cautiously optimistic about what J.J. Abrams intends to do in Star Wars VII. The cast for the movie was revealed earlier this week, and today is May the Fourth, an unofficial Star Wars holiday. You might be asking yourself what any of

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Advanced Analytics | Analytics

Mike GillilandApril 30, 2014 0

A naive forecast is not necessarily bad

As we saw in Steve Morlidge's study of forecast quality in the supply chain (Part 1, Part 2), 52% of the forecasts in his sample were worse than a naive (random walk) forecast. This meant that over half the time, these companies would have been better off doing nothing and

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Analytics

Maggie MillerApril 30, 2014 0

What does the future of analytics look like?

Instead of using a crystal ball to find out what the future holds for analytics, I decided to do something even better -- ask Udo Sglavo, SAS Forecasting R&D director. Sglavo breaks down the benefits of two new SAS analytical clients, SAS Enterprise Miner and SAS Forecast Server in this

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Analytics | Data for Good | Data Visualization

Robert AllisonApril 29, 2014 0

Analyzing 60 years of tornado data with an animation

With tornadoes in the news lately, I wondered how I might could use SAS to analyze tornado data. How about animating 60 years of tornado path data? ... I was using Google to search for ways to analyze tornado data, and found an example on ustornadoes.com that animates the tornado

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Analytics

Alyssa FarrellApril 28, 2014 0

Battling the buzz on big data analytics for energy

I was asked to speak recently on a topic that includes two hyped terms: Big data and sustainability. At the risk of igniting an anti-buzzword campaign, I added a third over-used term to that list: analytics. Even though individuals and companies use those three words – big data, sustainability, and

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Advanced Analytics | Analytics | Customer Intelligence

Carl FarrellApril 28, 2014 0

Baskets full of benefits from analytics

With as much as I travel, I have to confess that I’ve become a bit of a food snob. And for good reason, I might add. Two days in a Chilean hospital will make anyone stick with what they know and trust. After that experience, it was just me and

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Analytics | Data for Good | Data Visualization

Robert AllisonApril 28, 2014 0

Tornadoes: Picking up the pieces with SAS

Last night, here in the U.S., an outbreak of deadly tornadoes tore across several states. Unfortunately, nobody knows how to predict a tornado with certainty, but let's brainstorm on how SAS Software can help analyze the data in the aftermath of a natural disaster like this... Being a graph guy, the first

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Analytics | Data Visualization

Michael ThomasApril 25, 2014 0

Using virtual reality to understand big data

What if virtual reality technology allowed you to immerse yourself in big data? That could be your future – and sooner than you think. It happened in August 2013 at the University of Washington: the first direct brain-to-brain communication, with one researcher controlling another researcher’s brain over Skype. Maybe in

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Advanced Analytics | Analytics

Mike GillilandApril 24, 2014 0

Forecast quality in the supply chain (Part 2)

As we saw last time with Steve Morlidge's analysis of the M3 data, forecasts produced by experts under controlled conditions with no difficult-to-forecast series still failed to beat a naive forecast 30% of the time. So how bad could it be for real-life practitioners forecasting real-life industrial data? In two words:

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Analytics | Data Management | Data Visualization

Jennifer Griess

Jennifer GriessApril 23, 2014 0

Connecting the dots between higher education and IT

In our hyper-connected world, information technology plays a key role in nearly every field and industry. Higher education is no exception, and that’s where EDUCAUSE comes in. This non-profit association works to advance higher education through the use of information technology. One of the primary ways EDUCAUSE achieves its goal

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Advanced Analytics | Analytics

Mike GillilandApril 23, 2014 0

Forecast quality in the supply chain (Part 1)

The Spring 2014 issue of Foresight includes Steve Morlidge's latest article on the topic of forecastability and forecasting performance. He reports on sample data obtained from eight business operating in consumer (B2C) and industrial (B2B) markets. Before we look at these new results, let's review his previous arguments: 1. All

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Analytics

Leo SadovyApril 22, 2014 0

Agility and the Analytic Sandbox

Analytics gives us not just the ability but the imperative to separate our planning activities into two distinct segments – detailed planning that leads to budgets in support of execution, and high-level, analytic-enabled business/scenario planning. My critique of Control Towers in this blog last time led me not only to

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Analytics

Maggie MillerApril 21, 2014 0

Advanced analytics in the 21st century

Many factors have to work together for organizations to compete on big data analytics. First, you need the right technology. Second, you need to look at the skill set that is required to use the technology and the culture changes that are often needed. So how do you bring it

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Advanced Analytics | Analytics

Mike GillilandApril 17, 2014 0

Guest blogger: Len Tashman previews Spring 2014 issue of Foresight

Here is editor Len Tashman's preview of the new Spring 2014 issue of Foresight. In particular note the new article by Steve Morlidge of CatchBull, reporting on an analysis of eight B2B and B2C companies, which we'll discuss in a separate post. An organization’s collaboration in forecasting and planning has

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Analytics | Data for Good | Data Visualization

Robert AllisonApril 16, 2014 0

Why learn SAS instead of Excel? ... Medicare data

Would you like to analyze the 9 million lines of Medicare payment data that was recently made public? You'll need lots of luck if you're planning to use Excel ... whereas this is the kind of thing SAS was built for! Here's a sneak-peek at what the text data looks

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Advanced Analytics | Analytics

Mike GillilandApril 16, 2014 0

Q&A with Steve Morlidge of CatchBull (Part 4)

Q: How would you set the target for demand planners: all products at 0.7? All at practical limit (0.5)? A: In principle, forecasts are capable of being brought to the practical limit of an RAE of 0.5. Whether it is sensible to attempt to do this for all products irrespective

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Analytics

Georgia MarianiApril 9, 2014 0

Ask the Statistician: Putting statistical results into action

So far in this Ask the Statistician series, we heard statisticians at the Analytics 2013 conference discuss the benefits of statistical analysis, the types of statistical techniques they use to solve their business problems and how they share their statistical results with non-technical audiences that need to use this information. So, the next step

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Analytics

Leo SadovyApril 8, 2014 0

Control Towers - Not another business process?

The volume is being turned up on the Control Tower approach to running a business; I have recently been introduced to logistics control towers, supply chain control towers and operations control towers just for starters. I’m sure there must be at least a half dozen more out there – pick

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Analytics

Cindy BerryApril 7, 2014 0

Are APCDs just what the doctor ordered?

With all the changes the Affordable Care Act brings, including new care and payment models, there is an increase in provider’s need for data. While some large health systems are able to learn much about a patient’s full course of treatment by integrating their systems, the majority of health care

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Government | Health Care

Analytics | Data for Good | Data Visualization

Robert AllisonMarch 28, 2014 0

How could SAS be used to help find missing planes?

I'm sure that anyone in the world would do whatever they could to help find the missing Flight 370 ... and this is my attempt to do what I can. In my previous blog post, I showed how SAS could be used to visualize the locations where planes have disappeared. This blog

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Insurance | Travel

Analytics

Thomas KeilMarch 26, 2014 0

Analytics für Einsteiger

Es ist nicht zuletzt das Stichwort Big Data, das bei vielen Unternehmen das Thema Analytics auf die Agenda gebracht hat. Egal woher die Datenmengen kommen, es ist sonnenklar: erstmal wegspeichern hilft nicht viel – es muss schon ein Nutzen daraus gezogen werden. Von der Erkenntnis bis zur Umsetzung ist es

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Analytics

Mike HitmarMarch 17, 2014 0

Quality needs a new paradigm

After decades of trying to "manage" and "control" quality, manufacturers continue to struggle with consistently achieving quality excellence. To conquer the realities of today's marketplace and achieve quality excellence, manufacturers need to adopt an analytic approach to quality. The basic objective of manufacturers hasn't changed since the beginning - produce

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Analytics

Georgia MarianiMarch 12, 2014 0

Ask the Statistician: Best practices for explaining statistical results

In my last post in the Ask the Statistician series, we heard statisticians at the Analytics 2013 conference discuss what types of statistical techniques they use to solve their business problems. Given that these concepts are technical in nature, I wanted to better understand some of their best practices for sharing

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Analytics

David PopeMarch 10, 2014 0

Did you know analytics did that?

It is always important to continue to sell the value of analytics within your organization, especially to your leaders. Usually, these type of results are delivered via reports, dashboards, or emails. However did you know that analytics: Detects when expensive machinery like electrical submersible pumps (ESP) or oil platforms need maintenance before

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Analytics | Customer Intelligence | Learn SAS

Maggie MillerMarch 7, 2014 0

Using customer intelligence to increase your bottom line

Customer intelligence (CI) is critical for companies today. It can help you stay ahead of your competitors by giving you the right information to attract customers. Dr. Christophe Muse can teach you how to adopt new analytical and data-mining techniques for advanced customer intelligence applications. I interviewed Dr. Muse at

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Analytics | Learn SAS

Maggie MillerFebruary 28, 2014 0

Making sense of text analytics

With all of us blogging, emailing and posting updates on social media, the amount of textual data is growing fast. So how do you make sense of all that big data? Dr. Goutam Chakraborty teaches a Business Knowledge Series course, Text Analytics and Sentiment Mining Using SAS, where you can

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Analytics

David PopeFebruary 21, 2014 0

Treating analytic discovery and model development as a production environment

IT support levels for different processes and business applications depend on many factors. So how are analytics projects generally supported? It's common for IT to view the implementation of advanced analytics as part of a production job or process, especially when analytic models are deployed into different operational systems that are

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