11Ants Model Builder Transforms Excel into Breakthrough Predictive Analytics Tool

11Ants Model Builder upgrades Microsoft Excel into a powerful data mining and predictive analytics tool that allows even non-technical users to mine their own data and build predictive models
By: 11Ants Analytics
 
Sept. 21, 2010 - PRLog -- HAMILTON, New Zealand  – 11Ants Analytics, a company committed to making data mining technology accessible to non-technical users, today launched the 11Ants Model Builder a powerful yet simple to use Microsoft Excel Add-in which allows anyone who can use Excel to mine data for informational and commercial advantage.

11Ants Model Builder gives users access to a range of advanced analytical tools and features, in an easy to use navigation which allows even non-technical users to rapidly extract patterns from data and build predictive models.  The software emulates the best practices of a data mining expert and does the complex work for users – effectively a data mining auto-pilot.

“People in business, science and government who previously would have never considered analysing and modelling data can use 11 Ants Model Builder to gain insight, and make predictions and better decisions,” says Tom Fuyala, Director, Business Development, 11Ants Analytics.  “We’ve eliminated the intimidation most non-technical people experience when attempting data mining by integrating 11 Ants Model Builder into the familiar Excel environment which also provides a seamless workflow environment.”

The simplicity of the 11Ants Model Builder is due to its breakthrough proprietary HyperLearn technology, the result of over three years of development by 11Ants Analytics, and inspired by machine learning research at New Zealand's University of Waikato - home of one of the most respected data mining and machine learning groups in the world.

11Ants Model Builder features 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. The software also features automated algorithm selection, automated parameter tuning, automated reporting and a simple 4-step work flow - prepare, analyze, predict, report.

“11Ants Model Builder can be used to mine data in a wide range of settings from science and engineering, to government, to sports and education. Fields as diverse as bioinformatics, genetics, insurance, retail, and telecommunications share a common need to understand patterns in data, says Mr Fuyala. “Notable pre-release clients include a major international accounting and consulting firm, data mining company, health insurer, specialist manufacturer, and government departments.

Applications include customer management and marketing, operations management, performance monitoring, corporate risk profiling, surveillance, fraud detection, human resourcing, science and medicine research, political campaigning, police and government service planning, sports data analysis, equipment performance monitoring, and manufacturing optimisation.

The US launch for 11Ants Model Builder will be held at Predictive Analytics World in Washington DC on 19-20 October.

A free 14 day trial can be downloaded from http://www.11antsanalytics.com

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ABOUT 11ANTS ANALYTICS

11Ants Analytics is committed to making advanced data mining accessible to non-technical users. The simplicity and power of 11Ants Model Builder software is due to its breakthrough proprietary HyperLearn technology. 11Ants Analytics Ltd, based in New Zealand, is venture backed by Endeavour Capital, The New Zealand Venture Investment Fund and WaikatoLink, the commercialization company of the University of Waikato. For more information, visit http://www.11antsanalytics.com
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Source:11Ants Analytics
Email:***@shinegroup.co.nz Email Verified
Zip:Hamilton 3216
Tags:Predictive Analytics, Data Mining, Predictive Modelling, Model Building
Industry:Business, Financial, Software
Location:Waikato - New Zealand
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