Quant5 Rolls Out Marketing Analytics Software for Big Data Wannabes

The problem for Doug Levin is the noise.

The noise is around “big data,” the increasingly nebulous field of technology that involves businesses managing huge amounts of information and trying to glean insights from things like customer transactions, browsing habits, and behavioral trends.

For all of the companies calling themselves big data, Levin asks, are they really about big data? Or are they about analytics? Or are they big data and analytics?

The distinction lies in whether companies are developing new kinds of databases and other systems to store and manage data, or whether they’re developing software and algorithms to make sense of the data. Levin’s latest startup, Cambridge, MA-based Quant5, is clearly focused on the latter. (You can catch Levin at Xconomy’s “Future of Big Data” conference in Boston this Wednesday, where he’ll be moderating an investor chat.)

But there’s still plenty of noise in the analytics sector. Quant5 aims to start cutting through that noise today, with the general rollout of its marketing analytics software. The basic idea is to help companies make better use of their marketing data and records, so they can streamline efforts, target the right customers, and ultimately make more money. Quant5 is starting out by selling to brick-and-mortar retail stores, e-commerce companies, and high-tech firms and app stores.

Here’s how it works. Say you’re a mid-size e-commerce firm looking to improve your marketing processes. You can buy Quant5’s software-as-a-service and get access to five modules, Levin says: The “targeted offers” module tells you which products to recommend to specific customers via

Author: Gregory T. Huang

Greg is a veteran journalist who has covered a wide range of science, technology, and business. As former editor in chief, he overaw daily news, features, and events across Xconomy's national network. Before joining Xconomy, he was a features editor at New Scientist magazine, where he edited and wrote articles on physics, technology, and neuroscience. Previously he was senior writer at Technology Review, where he reported on emerging technologies, R&D, and advances in computing, robotics, and applied physics. His writing has also appeared in Wired, Nature, and The Atlantic Monthly’s website. He was named a New York Times professional fellow in 2003. Greg is the co-author of Guanxi (Simon & Schuster, 2006), about Microsoft in China and the global competition for talent and technology. Before becoming a journalist, he did research at MIT’s Artificial Intelligence Lab. He has published 20 papers in scientific journals and conferences and spoken on innovation at Adobe, Amazon, eBay, Google, HP, Microsoft, Yahoo, and other organizations. He has a Master’s and Ph.D. in electrical engineering and computer science from MIT, and a B.S. in electrical engineering from the University of Illinois, Urbana-Champaign.