Channel Asia understands that DXC Technology is preparing to launch an analytics migration factory for Microsoft Azure in Manila, Philippines by December 2018; the first in Southeast Asia.
This follows the launch of an analytics migration factory in Bangalore, India, which DXC claims is the first in the industry, while a further factory is planned for Warsaw, Poland.
The factories in Poland and the Philippines will be ready before the end of the year.
As the move to cloud accelerates, tools such as DXC’s analytics migration factory will become critical components for speedy migration in an increasingly competitive market.
"We have entered a new artificial intelligence (AI)-based innovation cycle in the digital era,” said Edward Ho executive vice president and general manager of offerings at DXC.
“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.
"Our partner, Microsoft, has built Microsoft Azure, a productive cloud platform with a wide portfolio of AI productivity tools that enable clients to unlock the value of their data and build smart applications with incredible speed and agility.
"DXC’s dedicated Azure factory and Azure-certified teams help clients achieve faster, more efficient and safer cloud migrations, while rapidly implementing new applications with innovative tools and integrating pre-built analytics and AI services."
The factory will provide DXC’s clients with an efficient, end-to-end experience for development, delivery and ongoing support services designed for analytics workload migration solutions to Azure.
Worldwide, DXC has more than 900 Azure professional certifications, 900 analytics clients and 8,000 analytics and AI professionals.
“DXC’s analytics migration factory approach is a significant advancement for companies seeking to move their analytics workloads quickly and efficiently to Microsoft Azure and open new opportunities to gain value from their data and analytics,” said Rohan Kumar, corporate vice president of Azure data platform at Microsoft.
Furthermore, having analytics capability on a modern cloud platform will also enable the infusion of artificial intelligence and machine learning, providing additional insight to client businesses, Kumar asserted.
The analytics migration factory will make use of DXC’s secure digital-generation services delivery model, Bionix - this approach will provide improved performance at a greater value with accelerated digital transformation.
The analytics migration factory will offer a number of key benefits for customers, namely, a complete migration solution from assessment to optimisation, with an impressive set of analytics services and accelerators.
Furthermore, the factory will also offer customers dedicated functional factory lines with specialised teams certified in Azure technologies and experienced in securing data in public clouds, in addition to consistent and repeatable deployment methods that drive seamless integration and efficiency of the migration process to minimise business disruption.
Mature ‘run’ processes will also be offered, including tools, DevOps and detailed usage reporting for optimised management to mitigate the risks in security management, service continuity and workload support.
The execution model will also be complementary to DXC’s cloud services for Microsoft Azure in which specialised tools, methods and skills are deployed to transform and move applications to a hybrid IT infrastructure with Azure.
These benefits purport to offer businesses new and deeper business insights with the ability to try and test new analytic use cases and to explore new technologies without incurring unnecessary deep capital outlays.
“Creating a new business model to transform an organisation is not easily achieved by large enterprises,” said Ali Zaidi, research director at IDC.
"These organisations 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 organisations to improve analytic insight while managing risk."