DataGravity Unveils Early-Access Channel Program

Published: February 18, 2014

In an effort to drive channel engagement and loyalty, DataGravity, a start-up created to help “turn data into information,” has launched  a new program that will offer partners insider access into the company’s solution. 

DataGravity is in the process of recruiting a select group of channel partners for the early-access program based on their expertise in storage, server and virtualization technology. The program will be unveiled during the 2014 VMware Partner Exchange event.

Because the company relies on the channel for all sales and marketing initiatives, DataGravity is seeking feedback partners to ensure solutions effectively address the needs of both partners and customers. Early-access program members will have VIP access to solution launch information, and in turn, will be able to sell quicker to customers when its launched later in 2014.  

“There is tremendous demand for new, simple and cost-effective technology in both small and mid-sized companies, and the channel model is evolving into a more diversified revenue stream for both partners and tech companies,” said David Siles, VP of Worldwide Field Operations at DataGravity. “DataGravity has created an opportunity for partners and customers to influence the development of a sustainable channel program and business that will level the playing field of unstructured data analysis, giving end users and IT teams the ability to reach actionable answers to difficult business questions.”

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As a DataGravity early-access partner, IT professional services company Axis Business Solutions, has the sole goal of helping customers “simplify IT and get more business value from their data,” said Joseph Paquet, VP of Vendor Alliance and Relations for Axis Business Solutions. “DataGravity will supply us with a product that drives seamless interaction with data and the insights it provides. We are confident that DataGravity will give our customers and prospects a new experience for storing and mining data.”

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