Recognizing the rapidly-growing need for global enterprise clients to accelerate the migration of data and analytics to the cloud, DXC Technology has announced Analytics Migration Factory for Microsoft Azure.
DXC’s new Analytics Migration Factory provides clients with an efficient, end-to-end experience for development, delivery and ongoing support services designed for analytics workload migration solutions to Azure. The factory team in Bangalore comprises professionals with advanced skills in data science and cloud architecture, design and deployment as well as Azure skills and certifications. DXC has more than 900 Azure professional certifications, 900 analytics clients and 8,000 analytics and AI professionals worldwide.
Edward Ho, Executive Vice-President & General Manager, Offerings, DXC, says, “We’ve entered a new artificial intelligence (AI)-based innovation cycle in the digital era. Increasingly, global enterprises want to leverage and benefit from digital innovations like AI and machine learning for smooth, rapid and orchestrated migration of data and analytic workloads from any source to the cloud.”
The DXC Analytics Migration Factory model accelerates and drives migration efficiencies with a deep library of catalogued methods, proven design patterns and best practices, backed by a team of trained and certified migration factory experts. DXC’s application of broader standardization on both Azure tools and select third-party components produces significant process improvements during and following migration to Azure.
Multiple factory lines address core areas of assessment, design, development, testing, and migration deployment — all supported by DXC-managed services and comprehensive project management. The factory model increases migration quality and improves scheduling and productivity, while streamlining costs, governance and project execution.
The DXC Analytics Migration Factory employs DXC Bionix, the company’s secure digital-generation services delivery model that provides a comprehensive approach to intelligent automation at scale. The result is maximum performance and value, with accelerated digital transformation.
This provides organizations with the elasticity of cloud for their analytic services to enable new and deeper business insights, to try or test new analytic use-cases, and to explore new technologies without incurring unnecessary deep capital outlays.
Ali Zaidi, Research Director, IT Consulting and Systems Integration Services, IDC, says, “Creating a new business model to transform an organization is not easily achieved by large enterprises. These organizations are looking for ways to take advantage of new platforms using IoT and analytics solutions, without disrupting the business. The ability to migrate the analytics and data workload efficiently to these platforms, with no business disruption, helps organizations to improve analytic insight while managing risk.”
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