STATISTICA Decisioning Platform

STATISTICA Decisioning Platform is StatSoft’s solution to help your organization make decisions more efficiently utilizing predictive analytics. Obstacles that impede business objectives often provide the best opportunities to develop more informed business decisions. By applying predictive analytics to determine patterns of historical data, a business enterprise can better refine and achieve its objectives for customer retention, customer acquisition, employee performance, decreased risk, and increased profitability.

Decisioning Platform General Overview

POWERFUL. RULES-BASED. PREDICTIVE.
What is truly groundbreaking about the STATISTICA Decisioning Platform is its complete integration of the 7 key attributes for effective use of predictive analytics within an organization: 1. Decision Rules – the management and execution of business rules based on:

business context (e.g,. which customers to target) regulations (e.g., whether a communication can be made in your state) interpretation of predictive model outcomes and what to do about them (e.g., when probability of fraud exceeds .5 and the policy initiation date is less than 6 months prior to today's date)

2. Predictive Modeling – the utilization of your organization's historical data to discriminate, cluster, segment, and forecast effectively using the latest techniques in STATISTICA Data Miner

3. Model Management – the efficient deployment, management, and monitoring of predictive models via STATISTICA Enterprise Server

4. Text Mining – the utilization of unstructured data combined with numeric data

5. Scoring Server Batch and Real-Time Execution – employing predictive models either in batch mode (e.g., in a data mart or data warehouse) or in real-time scoring applications (such as an online credit scoring application), using the scalable Web Services-based STATISTICA Live Score

6. Open Architecture and Automation – the flexibility to integrate with existing systems using industry standards (e.g., OLE DB, ODBC, etc.) and the STATISTICA Application Programming Interface (API)

7. Data Visualization – the understanding of what the predictive models are doing and why, through graphical monitoring