Delivering meaningful insights and value for manufacturing. Supply chains are under pressure and sustainability is on everyone's agenda. Our solution for manufacturing is abstracting away the complexity of brownfield manufacturing lines and fetches real-time and transactional data from machines and the shop floor. So that one can focus on solving the business challenges at hand – being it waste reduction, reducing the energy footprint, efficient use of assets or providing intuitive tools for shopfloor. ‘
We prove this in our “16 weeks approach” consisting of 3 streams: 1. Business Value 2. Technology & Data 3. People, Process and Organization – where we deliver one 1 or more use cases and deliver sustainable value – which is globally scalable by design.
For the first time, Regional and Global AWS Partner Awards included a self-nomination process across a number of award categories and specialization areas awarded at both the regional and global level where all AWS Partners were invited to participate and submit a nomination.
The AWS Partner Network (APN), is a global program, focused on helping companies build successful solutions by providing business, technical, marketing, and go-to-market support. The APN includes independent software vendors (ISVs) and systems integrators (SIs) around the world, with AWS Partner participation growing significantly during the past 12 months.
“AWS Partners are at the center of unlocking value for global customers, across a wide range of industries,” said Ruba Borno, vice president, Worldwide Channels and Alliances at AWS. “We are honored to launch the inaugural Regional and Global AWS Partner Awards, and thank all the nominees and winners for accelerating our customers’ cloud transformation journey.”
A panel of AWS experts selected the winners based on strict criteria. Schuberg Philis is excited to announce it has received Data and Analytics Partner of the Year, Recognizes top partners with the Data and Analytics Competency. Recognizes a partner who has demonstrated expertise in data and analytics. Judged based on the number of competencies, value provided to customer, and revenue generated.