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11Ants Analytics: Data mining tool for the masses at PAW, Washington DC


 
  
11Ants Model Builder upgrades Microsoft Excel into a powerful data mining and predictive analytics tool that allows anyone who can use Excel to mine their own data and build powerful predictive models. It will unveil its breakthrough data mining and predictive analytics tool at Predictive Analytics World, Washington DC.


11Ants

HAMILTON, New Zealand, 15 October 2010 - 11Ants Analytics, a company committed to making advanced data mining accessible to non-technical users, will unveil its breakthrough data mining and predictive analytics tool at Predictive Analytics World, Washington DC. 11Ants Model Builder upgrades Microsoft Excel into a powerful data mining and predictive analytics tool that allows anyone who can use Excel to mine their own data and build powerful predictive models.

"Predictive analytics and data mining are increasingly important ways to gain informational and commercial advantage - but it's largely been the domain of experts. We wanted to put data mining in the hands of the masses so they could unlock the enormous value in the increasing amounts of digital data generated. Even non-technical users can use our tool to rapidly extract patterns from data and build predictive models," says Tom Fuyala, Director, Business Development, 11Ants Analytics.

11Ants Model Builder is a powerful tool that can be used by experts, yet simple enough to be used by people across business, science and government who would not have previously considered mining data, says Mr Fuyala. "We've eliminated the intimidation most non-technical people experience when attempting data mining by integrating the 11Ants Model Builder into the familiar Microsoft Excel environment. For 95% of people data starts and ends up in Excel, which is already installed on millions of computers."

The simplicity of 11Ants Model Builder is based on its breakthrough proprietary HyperLearn technology which draws on an impressive library of 11 machine learning algorithms including decision tree (similar to CART), Gaussian processes, logistic regression, logit boost, model tree, naive Bayes, nearest neighbour, partial least squares (PLS), random forest, Ridge regression, and support vector machine. Features include automated algorithm selection, automated parameter tuning, automated reporting and a simple 4-step work flow - prepare, analyze, predict and report.

11Ants Analytics is a spinout of WaikatoLink, the commercialisation arm of the University of Waikato, and takes inspiration from the machine learning research at the University of Waikato - one of the most respected data mining and machine learning groups in the world.

The company will join a global gathering of top predictive analytics experts, practitioners, authors and business thought leaders at Predictive Analytics World, 19-20 October in Washington DC. Key speakers include Microsoft's Bruno Aziza, Dean Abbott, John Elder, Open Insights' Usama Fayyad, Forrester Research's James Kobielus and Roxana Strohmenger, and Dr. Eric Siegel.

Predictive Analytics World Sessions cover business applications of predictive analytics, including: marketing and CRM, response modelling, customer retention with churn modelling, acquisition of high-value customers, direct marketing, database marketing, profiling and cloning; online marketing optimization, behavior-based advertising, email targeting, website content optimization; product recommendation systems; insurance pricing; credit scoring; and fraud detection.

A free 14 day trial of 11Ants Model Builder can be downloaded from www.11antsanalytics.com

FOR FURTHER INFORMATION PLEASE CONTACT

Tom Fuyala
Director, Business Development
11Ants Analytics
Cell: +64 21 854 592
Email: tom.fuyala@11antsanalytics.com

Sandra Lukey
Shine Group (Media for 11Ants Analytics)
Phone: +64 3 374 6753; Cell: +64 21 2262 858
Email: sandra@shinegroup.co.nz


KDnuggets Home » News » 2010 » Oct » Software » 11Ants Analytics at PAW, Wash. DC  ( < Prev | 10:n25 | Next > )