Optimize Business Performance from Distributed Big Data

The “Big” Problem

The most significant barrier to realizing the value of combined big data from high variety sources such as mobile devices, social networks, and sensors is the need to integrate the data to perform analysis. Data integration for predictive modeling is complex, expensive, and challenged to keep pace with data dynamics. In addition, communicating and assembling large integrated datasets for machine learning is increasingly in tension with proprietary and security considerations. What is needed is a cost-effective means of quantifying the value of information and integrating diverse analytics into a unified model, without ever integrating the data.

A New Approach

Prism's technology enables cross-silo predictive analysis from distributed data, even in cases where access is restricted because it is private or proprietary. The method is based on a novel system of Collaborative Analytics in which the data is analyzed globally but in distributed fashion, in place, organically and privately. This is accomplished through a unique analytics platform that designs itself to answer user queries, and can run asynchronously, at global scale, over the Internet.

The Value

Because the raw data are never integrated, substantial acceleration is achieved in model learning and prediction, leading to superior agility to adapt to dynamic data, and significant reductions in system cost and complexity. The approach makes it possible to explore rapidly many combinations of data to make better decisions, even when sources cannot be directly accessed due to privacy or proprietary restrictions. The focus is returned to the framing of business questions that the available data support answering. You make better decisions faster and cheaper. These benefits provide value across many organizations and industries.

The Products

The Collaborative Analytics platform enables real-time predictive decision making, with application to risk analysis, event prediction/detection, and business intelligence functions such as customer targeting and churn estimation. The capability is embodied in enterprise software that provides distributed information services across data silos.

With Collaborative Analytics the currency of exchange is information, in the form of privacy-preserving compact analytics and models, and not data, clearing pathways to new business models and marketplaces for information that allow both data consumers and data producers to trade confidently and profitably in all varieties of information.

Realize the Value in Your Data. Make the Analytics Pay.