Filed under: Algorithms, Analytics, Sydney Data Miners | Tags: Sydney Data Miners
Today we reached a significant milestone at the Sydney Data Miners (http://www.meetup.com/datarati). We have officially reached 1,000 active members!!
Founded in 2007, the Sydney Data Miners group was set up to have informal meetups with those involved in all aspects of data mining from natural language processing, artificial intelligence, web mining and search engines to computational linguistics.
In 2009, and with just 200 members, the group was acquired by Datarati.
Throughout 2010, Datarati hosted events with senior executives from Optus, eBay, Neilsen Online and IBM. In 2011 Datarati hosted senior executives from Tobii, Deloitte Analytics, Altis Consulting, Accenture, Panalysis & CBS Interactive. In 2012 Datarati hosted senior executives from Flink Labs, Ansell, Effective Measure & Salesforce.com
In 2013, the group is already been off to a flying start with professors from the University of Technology, Sydney and industry executives from Freelancer.com
Today, our members are involved in all aspects of the data, analytics and optimisation world, from data mining to regression analysis to predictive modelling.
This group is managed by Datarati http://www.datarati.com.au
Headquartered in Chicago with most of its 1,500+ employees working out of Bangalore, India, Mu Sigma is a professional services firm that helps companies analyze ‘big data’to “institutionalize decision support”.
In a statement, Mu Sigma says it is already profitable and able to finance its operations on its own, but that it raised more venture capital to ‘accelerate growth’.
A portion of the new capital will be used to purchase shares held by existing shareholders, but the company did not disclose which shareholders and how much of the $108 million injection will be reserved for the buybacks.
Mu Sigma did say all current shareholders will retain stakes in the company.
More in this Wall Street Journal article.
Filed under: #mktgcloud, Algorithms, Data, Datarati, Sydney Data Miners | Tags: Data Mining
Filed under: Algorithms, Analytics, Behavioural Targeting, Business Intelligence, Datarati, Web Analytics | Tags: Obama
Some of the millions of dollars raised by President Barack Obama’s reelection campaign could be used to build one of the most innovative internal data operations ever for a political campaign. Obama for America has been hiring data quants, and recently posted job openings for predictive modeling and data mining analysts, along with state data directors. The strategic approach to data inside the campaign could help it better integrate offline and online data gleaned from social media and other online interactions.
OFA is developing an in-house Analytics Department to be based at the Chicago campaign headquarters. Staff there will work with state data directors to be based in several states, according to a job posting on the OFA site. The Chicago office will also have data desks responsible for various regions of the country.
The campaign is also seeking predictive modeling and data mining analysts who would be responsible for developing statistical and predictive models to assist in digital media, as well as for fundraising and other media. The analysts will be expected to have experience with digital media, online advertising data, Nielsen, and Arbitron data, in addition to text data. The job description, posted on data mining resource site KDnuggets, notes that text mining and social media analytics “is a plus.”
“It points to an extraordinarily high level of data integration inside the Obama campaign,” said Alex Lundry, VP and research director at TargetPoint Consulting, a microtargeting and data mining firm that works with Republican candidates and organizations, including the Republican National Committee, Mitt Romney’s 2008 presidential primary campaign, and John McCain’s ’08 presidential campaign. “It’s a much more holistic view of the voter from a data perspective, and you don’t see many GOP candidates doing that,” he added.
Out of 204,508 recorded passcodes, the top ten most common were: [1234, 0000, 2580, 1111, 5555, 5683, 0852, 2222, 1212, 1998]
Naturally, 1234 is the most common passcode: mimicking the most common internet passwords.
To put this into perspective, these 10 codes represent 15% of all passcodes in use.
Most of the top passcodes follow typical formulas, such as four identical digits, moving in a line up/down the pad, repetition. 5683 is the passcode with the least obvious pattern, but it turns out that it is the number representation of LOVE (5683), once again mimicking a very common internet password: “iloveyou.”