NetApp has refreshed its partner capabilities, offering a set of 16 solution competencies that cover AI, cloud transformation, cyber resilience and data infrastructure modernisation.
NetApp is aiming to enable partners to open new revenue streams with its Services Certified tracks, including being able to develop services to deliver in-demand NetApp solutions, the ability to co-brand with NetApp Services Certified badging and the flexibility to build a complete portfolio with NetApp, Distributor, or partner-led services.
Through a progressive tiering system that provides increased benefits and support as partners move up the tiers, the program provides increased earning potential and incentives that aims to help partners focus on capturing new logos and fosters co-investment.
Partners now also have access to Partner Demo Gear that offers options to showcase NetApp solutions via customer proof of concept or lab environments, as well as being able to build their services capabilities with NetApp through the Services Certified tracks, enabling them to deliver consultative service design services.
Since NetApp refreshed its competencies and certifications in its Partner Sphere program, there are now close to three times more NetApp partners who are certified to distribute and sell NetApp’s AI solutions than the year before.
“APAC is a hotbed for innovation and to move fast, organisations here need the support of a robust and modernised infrastructure with built-in resilience that takes on a unified approach to data storage, to get the most out of their data and AI solutions," said Ganesan Arumugam, senior director of channel sales and alliances of APAC at NetApp.
"Our Partner Sphere Program helps our partners address this need and deliver reliable, scalable storage solutions to businesses in the region. Our partners are responding to the call and advancing into new markets and customer segments with our industry-leading portfolio, driving revenue growth and appreciable business outcomes."
_(11).jpg&h=142&w=230&c=1&s=1)
.jpg&w=100&c=1&s=0)
_(8).jpg&w=100&c=1&s=0)
.jpg&q=95&h=298&w=480&c=1&s=1)
