Valuelytics targets three large and diverse markets as well as a broad range of opportunities where our analytics will unlock significant value for customers. Our primary markets are financial services, the data quality market, and numerous online market opportunities. These primary markets have multiple sub-segments that greatly expand our opportunities.
Valuelytics initial target market is financial services where we have configured our analytics for investment managers to use as a fundamental quantitative application. This application can be applied to equities including hedge funds (long/short and 130/30 strategies etc.) fixed income portfolios including CMOs, CDOs etc., emerging markets, ETF and sector fund construction and management as well as other investing segments. Our analytics can be applied to virtually any comparative data source.
The data governance and data quality markets are ideal opportunities for Valuelytics, since we improve both data quality and predictive capabilities. This market includes the traditional data suppliers and the growing corporate enterprise market, both of which are seeking analytic vendors to supplement their own data technologies.
We can add value for online merchants to help retail or commercial customers find the best value from a statistical analysis of comparable products, not just the display of a features matrix. In addition to the wide opportunity presented by online merchants, we see significant opportunity for any application or website that wants to provide a ranking of data, like the online fantasy sports market.
Because our analytics are data-agnostic, and built into a core platform technology, we have an almost unlimited opportunity to apply our analytics to support any analysis of comparative data where relative value is to be identified or predicted. To illustrate this, consider that the first license of our analytic is currently used to evaluate and support contract negotiations for professional athletes. Agents as well as professional sports teams are embracing statistical methods in these negotiations and we have the tool that unlocks value through predictive analytics.
