Automated Data Integration and Modeling of unstructured, semi-structured and structured data from diverse data-streams can be transformed by TAS platform into an unified grid output. This output can be used for further analysis and to streamline subsequent business processes and business analytics. The integrated data is used to create data models which can be leveraged by a) any system upstream/downstream for further analytics or b) TAS system for predictive analytics. TAS automates the process of data modeling - currently done through human engineering efforts which is resource intensive and people dependent. The system has the ability to analyze data points from unseen data source in a predictive manner offering a significant advancement over other systems which perform this analysis on a pre-programmed basis. TAS products are capable of recognizing/discovering new data points from input data-streams. There is a carry forward of rich context that enables analytics.

TAS-FINAS simplifies the well known challenges associated with the integration and implementation process of a risk management application by eliminating the need for manual intervention to build security mapping tools/programs/scripts. This shortens the implementation time as well as the reliance on the significant development resources usually required. TAS' InfoSieve Platform with its multi-contextual semantics-based approach to extract, analyze and map relationships is the driver behind this process. Data can be uploaded into the TAS-FINAS system in any format and the system is able to auto-adjust, to detect and discover mandatory information that is required for the risk management application to successfully provide optimal results.

TAS-FINAS is capable of recognizing/discovering new data points from input data-streams and provide actionable guidance to supplement missing information on multiple asset classes including equities, equity derivatives, bonds and bond derivatives. Moreover, TAS-FINAS provides the ability to adapt to and learn from the newly discovered (or missed-out) data points into the output data-streams. This auto adaptive capability improves the scope of the solution with least amount of effort and time. With the ability to directly integrate TAS-FINAS with the source systems, this lowers the operational risk associated with data transfer as well ensuring data integrity. Once the risk applications ingest TAS-FINAS output, risk managers can leverage the underlying contexts of TAS-FINAS output to run predictive analytics.