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):
Dynamic – it initiates an action and operates in near real-time;
Anomaly – it identifies unusual or anomalous events;
Pattern – it reinforces patterns;
Response – it is adaptive as it moves with the data.
DAPR in Finance:
Successful tests have been conducted in the following areas:
Best execution compliance automation
Operational risk and losses
Trade performance benchmarking
PropheZy consists of the following components:
an Excel add-in comprising the user interface, help files, data manipulation and reporting;
a classifier and modeller for building a predictive engine based on probability density estimation;
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.