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Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth, and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 774,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise, and global delivery capability. We are uniquely able to deliver tangible outcomes because of our broad range of services, solutions and assets across Consulting, Strategy, Technology, Operations, Industry X and Song. These capabilities, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners, and communities. Visit us at accenture.com. In Consulting we work with C-suite executives, leaders and boards of the world's leading organizations, helping them reinvent every part of their enterprise to drive greater growth, enhance competitiveness, implement operational improvements, reduce cost, deliver sustainable 360° stakeholder value, and set a new performance frontier for themselves and the industry in which they operate. Our deep industry and functional expertise are supported by proprietary assets and solutions that help organizations transform faster and become more resilient. Our Data and AI Strategy practitioners work to create and execute an organizations business strategy for data and AI, including defining a compelling industry vision, creating value models, describing business/technology roadmap, and creating operating model and platform and ecosystem architecture, in support of data-led transformation. Use scaled agile disciplines to transform around iterative approach sequencing use cases focused on critical data elements aligned to data product and platform feature development.
