11Ants Model Builder Transforms Excel into Breakthrough Predictive Analytics Tool

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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

HAMILTON, New Zealand, Tuesday 21 September 2010 – 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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