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The Anatomy of a Twitter Conversation, Visualized with R

February 6, 2012 by David Smith
with 149 views
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Each new participant in the conversation is listed on the vertical axis - those Twitter users with several dots in their row were active participants. You can see the conversation is quite "bursty": active periods of replies and retweets punctuated by short pauses. [read more]

The Data Analytics of Super Bowl Commercials

February 6, 2012 by Brett Stupakevich
with 379 views
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Well, Super Bowl Sunday has come and gone. As a friend said on Facebook last night, “You can now return to your regular scheduled life.” Not so fast. The big game is big business. Just check out these stats: 21 of the 45 of the most-watched network... [read more]

'Society is Making Our IT Decisions for Us Now'

February 6, 2012 by Joe McKendrick
with 23 views
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Cloud computing represents a tectonic shift for business technology and the people who run it. I recently had the chance to chat with David Nichols, principal and Americas CIO services leader for Ernst & Young IT Advisory Services, about the impact of cloud, shared services, and business-IT alignment in this new era. [read more]

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Big Data, Unstructured Information Analysis is More Than Sentiment.

February 6, 2012 by Luca Scagliarini
with 291 views
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Unstructured information is a significant part of the Big Data phenomena but automatic sentiment analysis is less than the tip of the iceberg for how to strategically use Big Data. [read more]

Swimming with the Smarter Customer: The Speedo International Story

February 6, 2012 by Brent Leary
with 86 views
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Diego Cervo/shutterstock

Speedo’s ecommerce team got busy figuring out what analytics capabilities they wanted. They were looking for a solution that “would let us go to another level of thinking, beyond looking at visitors and traffic. We wanted to really understand the customer, how they behave, how they think and how they liked to be interacted with, so that we could optimize marketing, retention and recruitment.” [read more]

Accelerating Analytics at MSU with Revolution R Enterprise

February 6, 2012 by David Smith
with 83 views
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Erik Sigur, Information Technologist for the Department of Statistics and Probability at Michigan State University, writes at ReadWriteWeb about using Revolution R Enterprise to provide high-performance computation in R to the researchers in his department: Our search for a more effective version of R ultimately brought us to a... [read more]

Facebook: Why is Nobody Listening?

February 5, 2012 by Urs E. Gattiker
with 238 views
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  Summary:  One headline this week read, Procter & Gamble would lay off 1,600 after discovering that advertising on Facebook is free. But how many of your 2000 fans bother to take part in the conversation? Less than half a percent. Learn from Red Bull, Coca-Cola and Nike! Or maybe NOT. I just got back from... [read more]

Big Data: Will Open Source Software Challenge BI & Analytics Software Vendors

February 4, 2012 by Harish Kotadia, Ph.D.
with 835 views
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Image by Berkeley T. Compton via Flickr

Predictive Analytics has been billed as the next big thing for almost fifteen years, but hasn’t gained mass acceptance so far the way ERP and CRM solutions have. One of the main reason for this is the high upfront investment required in Software, Hardware and Talent for implementing a Predictive Analytics solution. As a result, only... [read more]

Big Data Analytics a Key Enabler for Social CRM – Airlines Case Study

February 3, 2012 by Harish Kotadia, Ph.D.
with 309 views
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Here’s a simple yet very effective example of using analytics for understanding consumer attitudes towards airlines in real time. In this study, Jeffrey Breen has used the R programming language to analyze consumer sentiments about major U.S. airlines expressed on Twitter. [read more]

Revolution Analytics Hosts Contest on Business Predicting the Future

February 3, 2012 by David Menninger
with 73 views
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Lukiyanova Natalia / frenta/shutterstock

What software vendors, industry analysts and others call predictive analytics may be described more accurately as data mining. Data mining includes both predictive and descriptive analytics. Predictive analytics is used to predict future occurrences, such as the likelihood of an individual customer purchasing a particular product. [read more]

Christmas 2011: a Great Example of Smarter Commerce in Action

February 3, 2012 by Brent Leary
with 103 views
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bazilika/shutterstock

This is a great example of customers understanding what technology can do, and expecting vendors to find ways to leverage it to continuously improve their shopping experience. And improving the experience is crucial to keeping customers satisfied. According to the ForeSee study, satisfaction scores are important because a one-point change in website satisfaction can predict a 14% change in revenues generated on the web. [read more]

The Connected Evolution

February 3, 2012 by Maggie Fox
with 109 views
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Consumer Electronic Show (CES) in January provided preview of the new direction of major electronics manufacturers, and how they plan to design devices that not only provide value by leveraging smart capabilities, but also solve problems in an intuitive way. According to the GSMA, 90% of TVs at CES, 70% of automotive devices, 44% of health devices, and 30% of cameras were Internet connected. [read more]

Register for the first Decision Management Systems Platform Report Webinar

February 3, 2012 by James Taylor
with 17 views
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The first webinar from my ongoing research into Decision Management Systems Platforms is coming up on February 16th at 10am PT – register here  for Four platform capabilities for Decision Management Systems. This webinar kicks off what will be a continuing series of webinars as our definitive report on Decision Management... [read more]

What’s Hot in Advanced Analytics for 2012?

February 3, 2012 by Brett Stupakevich
with 230 views
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If there’s an article that gets read by women (and men) in consumer media, it’s the celebrity news and fashion trends columns. As we saw in our 2011 top posts recap, the same applies to our Spotfire blog readers – at least in the trends department. So, for today’s post we have the top trends in advanced analytics to share, the je ne sais... [read more]

R Chart featured in Facebook IPO

February 2, 2012 by David Smith
with 116 views
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Page 7 of Facebook's 213-page S-1 filing for their record-breaking IPO includes this chart, under the headline: "Our Mission: To make the world more open and connected". [read more]

Products + Social = Better Products

February 2, 2012 by Timo Elliott
with 89 views
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In this post, I’d like to share some ideas about why I believe that there are now fantastic new opportunities to improve all kinds of products using social media techniques. [read more]

A Swarm of Nano Quadrotors: The flying robot video you absolutely must watch

February 2, 2012 by Bob Gourley
with 166 views
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As a technologist I would like to remind you all that every future use case for incredibly capable systems like this will involve IT with moving parts, and all IT with moving parts requires IT guys to fix them when they break. So guess what CIOs, increasingly you are going to be the person that is turned to for robot repair. [read more]

Analytic Applications are Built by Data Scientists

February 2, 2012 by David Smith
with 253 views
1

Photo by Torley via Flickr

Ventana Research analyst David Menninger was on the judging panel for the Applications of R in Business contest. In a post on the Ventana research blog, he offers his perspectives on the contest, noting that R, as a statistical package, includes many algorithms for predictive analytics, including regression, clustering, classification,... [read more]

Technology Terminology: What’s in a Name?

February 1, 2012 by David Menninger
with 84 views
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Image: Widjaya Ivan/Flickr(creative commons)

Having spent a large portion of my career developing and marketing software products, I am probably biased, but I see value in broad, easily understood – even if imprecise – terms. Such terms are inclusive rather than exclusive, and that allows more vendors to participate in the markets, prompting more competition, more debate and ultimately better products and more variety of products. [read more]

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