Woodmark Consulting AG receives three new AWS Competencies
We offer high-quality services on the AWS platform
"We are very proud to have been awarded three new AWS Competencies in just four months. This is an incredible success!" says Vincent Fourmi, CEO of Woodmark Consulting AG. The competencies in the areas of "Data & Analytics", "DevOps" and "Small and Medium Business Services" underline the expertise and commitment of Woodmark Consulting AG to offer high-quality and specialised services on the AWS platform.
AWS Partner Data & Analytics Services Competency
Transforming data into valuable business assets is complex and requires a variety of technologies and tools. AWS partner status confirms Woodmark's expertise in evaluating and applying tools and best practices for advanced data analytics. As an AWS partner, we support companies in creating a wide range of data and analytics applications in the cloud.
AWS Partner DevOps Services Competency
Woodmark's experts help companies shorten their time to market by optimising the entire software development cycle with DevOps practices. In addition, we offer a range of services and software products that simplify operations management and integrate best practices and security policies into CI/CD pipelines.
AWS Partner Small and Medium Business (SMB) Services Competency
Woodmark Consulting AG supports small and medium-sized enterprises with their business and technical challenges. We offer comprehensive solutions, including platform, infrastructure and SaaS solutions, helping SMEs to optimise their IT infrastructure, reduce costs and increase operational efficiency.
About us
Woodmark Consulting AG is an expert in the fields of AI, big data & analytics and helps customers to process enormous amounts of data efficiently. In doing so, Woodmark relies on state-of-the-art tools and methods in business intelligence, data management and artificial intelligence. Woodmark also supports customers with IT architecture, role and process optimisation as well as software and technology selection.