OR WAIT null SECS
Hortonworks and Revolution Analytics provide massive-scale data handling
Integrichain (Princeton, NJ), which has been one of a handful of developers of analytics services based on, among other things, commercial EDI data from pharma trading partners, is upgrading its offerings based on alliances with a pair of Big Data developers: Hortonworks (Palo Alto, CA) and Revolution Analytics (Mountain View, CA). Hortonworks, in turn, is a developer of “open source enterprise Apache Hadoop software,” and Revolution Analytics is a developer of the R programming language, which it characterizes as “the single most important tool for computational statistics, visualization and data science.”
Josh Halpern, Integrichain co-founder and EVP, provides a translation: “These IT resources are comparable to what the major Internet-based e-commerce companies, like Amazon or Facebook, use to manage their systems or mine data to find trends. In the context of pharma distribution agreements, we’re seeing instances where a pharma company wants to analyze thousands of SKUs [stockkeeping units] across thousands of customers, over a multi-year span. You can do that with existing tools, but handling massive data loads like that are becoming more and more difficult without these cutting-edge IT tools.”
In practice, Integrichain will be incorporating these IT capabilities into its Demand Networks Analytics (DNA) platform, which is used by many major pharma companies to analyze trade agreements, market trends and the like. Some new service offerings will be rolled out over the next several months, says Halpern.