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© The Z/Yen Group of Companies 2008
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PropheZy is a suite of statistical software
that classifies, models and predicts events.
Z/Yen uses PropheZy to help organisations prosper by making better
choices. Clients use PropheZy to
identify favourable or adverse patterns or anomalies in order to get a
“detailed grip on the big picture”.
Z/Yen has built a number of predictive systems, e.g. health forecasting, a
financial markets risk estimator, a marketing event attendance predictor, a
weather risk calculator and an advertising revenue forecaster.
PropheZy makes predictive applications using readily available data. Based
on ASP, XML architecture, it integrates with existing IT architectures.
The predictive system is known as Dynamic, Anomaly & Pattern Response (DAPR):
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Dynamic – it initiates an action and operates in near real-time;
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Anomaly – it identifies unusual or anomalous events;
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Pattern – it reinforces patterns;
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Response – it is adaptive as it moves with the data.
DAPR in Finance:
Successful tests have been conducted in the following areas:
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Best execution compliance automation
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Liquidity prediction
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Non-STP correction
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Customer targeting
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Operational risk and losses
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Trade performance benchmarking
PropheZy consists of
the following components:
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an Excel add-in
comprising the user interface, help files, data manipulation and reporting;
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a classifier and
modeller for building a predictive engine based on probability density
estimation;
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a server-side
predictive engine manager capable of handling hundreds of simultaneous users
requesting predictions.
PropheZy is based upon
sophisticated statistical techniques that classify and model multivariate data
to make predictions on new data. PropheZy works best on continuous
numerical data but can handle discrete, categorical data and time series data.
PropheZy improves on traditional approaches such as neural networks and provides
information about the classification confidence levels, so that appropriate
human choices can be made.
PropheZy can be rolled-out to thousands through a browser interface by running
an ASP service. Applications can be updated frequently to take account of
changing conditions. PropheZy is inherently parallel, thus ensuring that
successful applications are scalable for complex, real-time applications.
Potential applications include increasing success rates among targets; reducing
customer churn; identifying best sales techniques, bid approaches or
cross-sales; setting targets for client revenue, profitability, client
satisfaction.
PropheZy has been extensively tested using standardised datasets - its
performance is amongst the best available.
PropheZy is often used in
conjunction with VizZy – a visualisation
package which allows data to be more easily analysed and understood.
More information:
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PropheZy flyer
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PropheZy overview presentation
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PropheZy - a television
case study
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PropheZy articles
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Mark Yeandle, "Best
Execution Compliance Automation"
, Financial Services Research
pages 80-82, Financial Services Research Limited (April 2006). -
Michael Mainelli,
"Competitive Compliance: Manage and
Automate, or Die", Journal of Risk Finance, The Michael Mainelli Column,
Volume 6, Number 3, pages 280-284, Emerald Group Publishing Limited
(June 2005). -
Michael Mainelli, “Benchmarking Facilities
Management”, Essential FM Report, Number 43, pages 6-7, Tottel
Publishing (January 2005).
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Michael Mainelli, “Finance
Looking Fine, Looking DAPR: The Importance of Dynamic Anomaly and Pattern
Response”, Balance Sheet, The Michael Mainelli Column, Volume 12, Number
5, pages 56-59, Emerald Group Publishing Limited (October 2004).
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Z/Yen Seizes British Computer Society Award for PropheZy prediction engine
(October 2004)
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DTI
Bestows Smart Award on Z/Yen for PropheZy Prediction Engine
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Jean
Haggerty, "Banks
Test Operational Risk Tools", International Financing Review (26
July 2003).
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Michael
Mainelli, Ian Harris and Alan Helmore-Simpson, "The
Auditor's Cross Subsidy" (statistical modelling of audit prices),
Strategic Planning Society E-Newsletter, Article 1 (June 2003).
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VizZy
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