HOPS Launches New Cluster Business Solution

Miami, FL – July 20, 2010 - HOPS, a leading provider of data analytic tools and products recently announced a new business solution based upon the company's revolutionary Clustering algorithm. Originally developed to address the intractable industry problem of poor quality "Provider Specialty" data in Fee-For-Service Healthcare Claims, the HOPS Clustering Algorithm is now being offered more broadly to provide data insights to businesses in all markets.

Christian Bass, HOPS' SVP of Strategy and Planning, sets the vision. "The business applications for applying efficient and effective Clustering solutions are nearly limitless. HOPS is just scratching the surface of what is possible. We can imagine deploying Cluster analytic appliances into enterprise data centers, placing a Cluster solution into the Cloud for user defined analytics and using the HOPS Clustering algorithm to support teams of consultants who help awaken value from client data sets."

Clustering yields value in any business domain where important findings can be reached by better understanding behavior patterns or data relationships. A Clustering algorithm may be used by marketing groups to identify television viewing patterns, purchasing behavior or demographic groupings. Managers may use Clustering to determine peer groups against which to benchmark individual performance such as store sales, inventory turnover of quality measures. Designers can use Clustering to better understand behavior patterns in website visitors, application users and commercial impacts. Engineers utilize Clustering to identify traffic patterns, network bottlenecks and root cause analysis.

HOPS CTO, John Moses, explains HOPS' solution. "HOPS Clustering algorithms provide an optimal means for processing through entire sets of data to uncover the natural groups which emerge from the data itself. This is far superior to existing methodologies which can't cost effectively process such large data sets. Traditional solutions force businesses to implement pre-selected grouping assumptions or arbitrary data cut-offs. By processing the entire data set and using emergent patterns from the data, HOPS' Clustering algorithm provides a pure result set absent any value-altering data preparation steps."

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About HOPS

HOPS (www.hops.com) is a leading provider of data analytic tools and products, utilizing its unique data processing engine to quickly get clients accessing their data for a cost point previously thought impossible. HOPS, which stands for Heuristic Optimized Processing System, is the fastest and most flexible on-demand analysis solution available for large sets of data. HOPS is headquartered in Miami Lakes, FL.