Featured Blog Posts – January 2014 Archive (37)

Moving the goal posts – Variable ticket pricing comes to the NFL


Added by Steven Ramirez on January 31, 2014 at 5:30am — No Comments

Weekly digest - February 3

Featured Articles


Added by Vincent Granville on January 29, 2014 at 11:30am — No Comments

Your custom MDM solution: Don’t make these mistakes (Part 1)

Your custom MDM solution: Don’t make these mistakes (Part 1)

Most MDM implementations will be based on a commercial software product.  By relying on a packaged solution, the architectural considerations have been addressed by the software vendor, allowing the project team to focus on the data management considerations.  However, there are cases when a custom MDM solution may be needed.  When proceeding down the path of custom development for MDM, we have some advice for you:…


Added by Sullexis LLC on January 29, 2014 at 11:15am — No Comments

Big Data analytics: Key insights for 2013 and what's ahead for 2014

 In a recent interview with CIO Review magazine, Beyond the Arc CEO, Steven Ramirez shared his insights on the evolution of Big Data analytics in 2013, and what we can expect in 2014. 

What was the impact of Big Data in 2013?…

Added by Steven Ramirez on January 28, 2014 at 6:32am — No Comments

Predicting the Super Bowl

NFL 2013 Team Expected Points Added (EPA) per game - Defense by Offense

The atavistic love of sport, strategy,…


Added by Michael Walker on January 27, 2014 at 7:00pm — No Comments

Scientific visualizations in early mathematical biology and morphology.

In 1917, Darcy W. Thompson, a pioneering mathematical biologist wrote a beautiful and exceptional demonstration about the relation between morphology and biology. Indeed, Thompson introduces its famous and elegant form of varying the Cartesian space as a tool to show the analogies between species. The central thesis of…


Added by José Antonio Martín H. on January 27, 2014 at 12:49pm — No Comments

Data Analytics: Keeping it Clean with a Nod to History

Excerpt reprinted with permission from ckmadvisors.com


Recently Mark Ginsburg, a Director and senior data scientist with our firm, wrote a historical perspective on the importance of simplicity and transparency in conducting data analytics. The push for transparency and free/open standards has long been a key component of…


Added by Nicholas Hartman on January 26, 2014 at 8:01pm — No Comments

Practical illustration of Map-Reduce (Hadoop-style), on real data

Here I will discuss a general framework to process web traffic data. The concept of Map-Reduce will be naturally introduced. Let's say you want to design a system to score Internet clicks, to measure the chance for a click to convert, or the chance to be fraudulent or un-billable. The data comes from a publisher or ad network; it could be Google. Conversion data is limited and poor (some conversions are tracked,…


Added by Vincent Granville on January 25, 2014 at 11:30am — 2 Comments

Survival Analysis (Video)

In my latest video blog (6.25 minutes), I provide an overview of Survival Analysis, an extremely useful branch of statistics.  

Topics I cover are:

* What is Survival Analysis

* Objectives of Survival Analysis

* Models available to analyze the relationship between a set of predictor variables and the survival time

* Examples of where…


Added by Venky Rao on January 25, 2014 at 9:22am — No Comments

The Data Science Toolkit - taking your first steps towards becoming a Data Scientist

When I stumbled upon the phrase "Data Scientist" 3 years ago, I immediately recognized it as my best prospect for a productive career. How to start? What are the tools of the trade?

This is the blog post I wish I could have read back then.

Many of the things I list here didn't exist or were unstable until recently.

I discovered the "predictive analytics" rabbit hole and started to read and watch whatever I could find on the subject. Upon watching the Gigaohm…


Added by Peter Higdon on January 25, 2014 at 8:00am — 4 Comments

Data Science: What goes around comes around

Many, many moons ago I began my first data science project. It involved a search algorithm for selecting the most probable mode of inheritance for a congenital anomaly given 10,000 two-generation pedigrees. Given the complexity of the algorithm I had to do my own coding: in FORTRAN ! It was tedious to say the least but I felt that I thoroughly knew the ins and outs of the methodology as a consequence writing code.

After that project I discovered a new analytical tool that promised to…


Added by Andrew A. Kramer on January 23, 2014 at 7:53am — No Comments

Weekly digest - January 27


Predictive Analytics World, March 16-21, 2014 in San Francisco is the business event for predictive analytics professionals, managers and commercial practitioners, covering today's commercial deployment of predictive analytics, across industries and across software vendors. The conference delivers…


Added by Vincent Granville on January 22, 2014 at 7:30pm — No Comments

Banks gain value out of big data focusing on the customer experience

Consumers are demanding greater financial flexibility and experiences. 2013 was the first time in the history of banking where the numbers of transactions from on-line banking trumped the number of retail banking transactions by 6:1. The younger generation prefers on-line banking vs. retail banking, and the older generation is adopting technology faster than ever before.…


Added by Tullio Siragusa on January 21, 2014 at 9:58pm — 1 Comment

Three myths about data scientists and big data

Here are my reactions to the LinkedIn conversation about the "Statistical data scientists". In short, I believe that modern big data needs new ways of processing data, and that data scientists are polyvalent (versatile) with deep expertise in a few domains, across…


Added by Vincent Granville on January 21, 2014 at 12:30pm — 4 Comments

Big Data books - Data Science, Analytics, and Machine Learning. Oh my!

The mantra is famous in Hollywood history: "Lions, and Tigers, and Bears. Oh my!"  It brought fear to young viewers everywhere. But, as the story goes, it was soon obvious that there was nothing to fear. 

With so much Big Data noise, and hype, and pressure (oh my!) pressing in on us from all sides, there is understandable fear and loathing around the concept of Big Data. In my opinion, the way to…


Added by Kirk Borne on January 21, 2014 at 7:58am — 1 Comment

10 Great Attributes of Jigsaw Academy's HR Analytics Certification Course

I have been reading about Jigsaw Academy's new HR Analytics Training Course, which starts soon (January 26, 2014). HR Analytics is a remarkably interesting new field -- or, one could say, an old field with exciting new dimensions! The application of…


Added by Kirk Borne on January 20, 2014 at 9:30pm — No Comments

Replaying the NFL Championships with Twitter Language Analytics

Excerpt reprinted with permission from ckmadvisors.com

By CKM Advisors Natural Language Analysis Team, 

Last year we posted a popular piece offering our view on…


Added by Nicholas Hartman on January 19, 2014 at 11:43pm — 2 Comments

Weekly digest - January 20

Featured Articles


Added by Vincent Granville on January 16, 2014 at 11:00am — No Comments

Data Scientist versus Business Analyst

Business analysts focus on data base design (database modeling, at a high level, including defining metrics, dashboard design, retrieving and producing executive reports and designing alarm systems), ROI assessment on various business projects and expenditures, and budget issues. Some work on marketing or finance planning and optimization, and risk management. Many work on high-level project management,…


Added by Vincent Granville on January 16, 2014 at 9:00am — 3 Comments

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