June 23-26, 2013
INFORMS Healthcare 2013
October 6–9, 2013
2013 INFORMS Annual Meeting
June 5-6, 2013
Customer Analytics Summit 2013
June 10-14, 2013
Predictive Analytics World
September 8-14, 2013
2013 ASE/IEEE International Conference on Big Data
“Data science begins with data. Nothing gets built without data. Data science continues with science. Accurate, persuasive and effective prediction requires patterns. The process of discovering that pattern is science. Any product worth building requires a reliable pattern to exist in the data.”
– Christopher Berry, co-founder and chief science officer of Authintic, in his article on recommendation engines in the current issue of Analytics.
Special ArticlesBig Data helps city of Dublin improve public bus transportation and reduce congestion
IBM has announced it is helping the city of Dublin use Big Data to identify and solve the root causes of traffic congestion in its public transport network throughout the city, which means improved traffic flow and better mobility for commuters. Integrating data from a citywide network of sensors with geospatial data means that city officials are able to better monitor and manage traffic in real time.Read More
Special ArticlesTexas.gov site upgrades with help of analytics
According to govtech.com, the state of Texas has announced an enhanced Texas.gov. “The website,” writes Colin Wood, “which receives more than 20,000 daily users and fields more than 72,000 daily searches, will continue its focus of being search-centric, while adapting to the needs of its users. Because the user is so important, said Erin Hutchins, director of portal operations, their team began by looking at analytics to see what they were doing right, what they were doing wrong, and how their website could better serve their constituents and internal users.”Read More
Industry NewsAnalytics adds depth to NFL scouting reports
Chris Wesseling, the NFL’s “Around the League” writer, recently wrote about how the Jacksonville Jaguars used prospect analytics to pick potential star Luke Joeckel.Read More
I enjoy maturity and evolution models of all kinds, especially for business. As the name implies, maturity models for information technologies or management accounting practices, for example, have stages of development that provide confidence that regardless of the model’s current stage – low or high – there is always a next step up that can be attained in an evolutionary way.
The final leg of horse racing’s prestigious Triple Crown race, the Belmont Stakes, was held this past Saturday. The favored horse, I’ll Have Another, was scratched due to a leg injury. For gamblers who would likely to have bet on I’ll Have Another for the Belmont, maybe this saved them some money. Why? I will get to that in a moment.
I was just reading an article on the INFORMS Analytics section, intriguingly titled Analytics, OR and INFORMS - Where the three meet. I am responsible for the Analytics department of a growing digital marketing agency and I have a long career in Operations Research behind me, so the question “What is analytics and how does it relate to Operations Research?“ I wrestle with.
Because of its direct response and data rich nature, paid search is arguably the most analytic of digital marketing activities. If you go to Google, Bing, or other search engine and type in a search query your browser will return a new page: the SERP (Search Engine Results Page). Generally on the left hand side you will see the results that the engine (that’s how the Technorati refer to Search Engines) regards as the most relevant.
Every day I come to work in digital marketing I find everything has been overturned and needs to be radically rethought. It’s a blast. I made the jump from offline in 2000. I already had a 15-year analytics career behind me but there was very little tolerance for my ignorance.