Employees in knowledge-led companies can ask questions on the application built on TURF Insight in conversational English and locate highly personalized results. The results are contextually relevant people, documents and conversations, determined based on who is asking, why and when. Once the right person is located, the application allows conversation between the asker and the responder. Thus, user memory is captured and reused by TURF Insight for understanding users and solving their needs better.
We have found that in our current set of installations, this application built on TURF Insight is able to reduce knowledge discovery time from between 6 and 24 hours to less than 15 minutes, resulting in huge productivity improvements for our clients. The most obvious uses for the application would be in quick turnaround in proposals by sales, locating the most relevant experts by solution developers and in quick problem resolution by CRM executives.
TURF Insight powers advanced Business Intelligence Applications that enable organizations to view the various patterns that emerge from various data sources and increase their competitive edge.
TURF Insight powers advanced Business Intelligence Applications that enable organizations to view the various patterns that emerge from various data sources and increase their competitive edge.
TURF Insight can similarly be deployed in any structured data environment to complement incumbent RDBMS-based applications and generate highly qualified and nuanced intelligence.
Organizations need much more than internal performance management to be at the top in this competitive world. TURF Insight helps organizations bring together various discrete knowledge sources and create reports and hence intelligence dynamically.
Modern day organizations produce immense amounts of data at any given moment and want the ability to use this data proactively. The Predictive analytics solution on TURF Insight brings the power to use Natural Patterns in Big data to create insights to validate your hypothesis for prediction quickly and easily.
Typical analytics solutions in the market are targeted at specific, pre-defined problems – such as predicting the price of a stock. The application of these bespoke or domain-specific solutions has been such that there is some distance between the technologist who develops the solution and the practitioner who theorizes and employs the solution. Thus the attributes considered for predictive analytics tend to be pre- or narrowly defined allowing little maneuverability to practitioners.
TURF Insight’s predictive analytics solution enables users to define a problem and create hypothesis based on their expertise and validate their expertise analytically to predict scenarios with high level of accuracy quickly. By providing users with flexibility for problem definition and variable factors, the application enables them to support their intuitions with hard data and the insights derived from the data.
Our data model allows for similar applications to be built with domain experts for diverse sectors. Some of the ideas we are exploring with partners include an application for differential diagnostics in hospitals, customer churn prediction in large retail.