DellTM
StatisticaTM
Live Score
There are many different options in Statistica for deploying models.
For scoring data within Statistica data sets in Data Miner, you can use the Rapid Deployment
Engine and Predictive
Modeling Markup Language (PMML). For scoring data in databases, you
can deploy models to the respective database in SQL.
When you want to integrate the models into your lines of business for
ongoing scoring transactions to support business decisions, the approach
is to use one or more Statistica Live Score Servers. Models are built
and validated in Statistica Data Miner or Statistica Text Miner and then output
in PMML to the Statistica Live Score Server where they are made available
for very efficient, on-demand scoring via Web Services. The fact that
they are made available via Web Services is important because it means
that various line of business applications integrate with Statistica Live
Score through industry-standard, platform-neutral interfaces.
Statistica Server stores and utilizes definitions of
users/permissions, database queries (Data
Configurations), Analysis
Configurations, Reports,
and Server
Tasks in its database. Workstation clients can offload time-consuming
or resource-intensive model-building to Statistica Server.
The Statistica Server and Data Miner workstation clients
deploy models to Statistica Enterprise Analysis Configurations with the
models stored as XML documents (Predictive Modeling Markup Language standard
format).
Dell Statistica Document Management System (SDMS) provides
versioning/traceability.
Line of business applications (e.g., banking/credit
cards, insurance, etc.) send XML/SOAP messages to Statistica Live Score
Server. Statistica Live Score scores the data using the respective model
and sends an XML response back to the calling application.
Statistica Monitoring and Alerting Server (MAS) monitors the ongoing performance of
predictions and provides color-coded (red, yellow, green) status updates
and alerts (e.g. emails) based on trends in prediction residuals. For
example, MAS can track ongoing residuals of the model predictions via
Quality Control Charts (e.g., CuSum charts) and display status updates
for each model in Web-based, color-coded Dashboard displays.
