Three-step factory approach gets you to AI and machine learning capabilities faster
Migrating critical workloads to the cloud is no longer considered optional; it’s a critical component of a company’s digital transformation. Likewise, modernizing aging analytics and business intelligence systems is almost a requirement for companies wanting to expand the reach and benefits of analytics and to lay the foundation for the next big innovation areas: artificial intelligence (AI) and machine learning.
To get to these new technologies, organizations need a smooth, rapid and orchestrated migration of existing analytics workloads and data to the cloud. DXC Technology's Analytics Modernization and Migration Factory for Microsoft Azure can help you accomplish this. Using our three-stage “factory” approach – Assess & Strategize; Build & Migrate; Manage, Optimize & Enhance – we can migrate your analytics workloads to the Microsoft Azure cloud from any analytics workload source, while at the same time minimizing disruption to your business and enhancing your analytics capabilities to support new analytic and AI / machine learning models.
DXC's Migration Factory approach enables more efficient workload migrations through a combination of our Analytics and AI Platform Services with migration accelerators; an extensive library of cataloged methods, design patterns and best practices; and teams of trained and certified migration factory experts. This approach also allows broader standardization on both Azure tools and select third-party components, resulting in significant process improvements during and after the migration.
Factory Lines: Key Features
The factory model will consist of multiple “factory lines” that address the core areas of cloud migration. This model increases quality and improves scheduling and productivity, while streamlining costs, governance and project execution.
Stage 1: Assess & Strategize
- Assessment Factory: Assesses risk, prioritizes workloads and constructs a migration plan. Accelerates the opportunity to work with both new technologies and legacy tools, and to prioritize workloads for migration with a plan created to support your unique environment.
Stage 2: Build & Migrate
- Design Factory: Activities are performed to design the solution and create a test strategy and plan, providing the estimated ROI up front.
- Development Factory: The "build and test" components of the solution, including migration scripts, integration and configurations. Provides a consistent test strategy and plan with defined test cases for migration execution.
- Testing Factory: Supports the execution of user acceptance testing (UAT) with defect detection and resolution. A proven testing factory based on consistent, repeatable methods to support an efficient and quality test deployment.
Stage 3: Manage, Optimize & Enhance
- Migration Deployment Factory: Executes the release management, deployment and migration of the analytics workload. Provides a standard environment and release package to prepare and adjust the environments in order to perform the migration without business disruption.
- Managed Services Factory: Includes the overall management and governance of the ongoing analytics and AI platform post-migration. An ongoing service with standard operations and procedures to support ongoing delivery of the analytics workload.
By 2020, Cloud takes over as the primary application execution venue with over 60% of all activity.
Key Benefits
- Complete migration solution — from assessment to optimization – with an extensive set of analytics services and accelerators.
- Dedicated functional “factory lines” with specialized teams who are certified in Microsoft Azure technologies and experienced in securing data in a public cloud.
- Consistent and repeatable deployment methods that drive seamless integration and efficiency of the migration process to minimize business disruption.
- Mature “run” processes, tools, DevOps and detailed usage reporting for optimized management to mitigate migration risk.
Why DXC?
- Proven Delivery: 10,000+ customer engagements, serving six of the global Top 10 automotive firms.
- Analytics Expertise: Established Analytics Data Labs and Manufacturing Center of Excellence; best-in-class analytics and AI platform solution, offering choice and flexibility.
- Skilled Resources: 8,000+ Analytics professionals; 1,000+ specialists certified in Microsoft Azure technologies and tools, working in global analytics Migration Factory centers in:
- Bangalore, India
- Manila, Philippines
- Warsaw, Poland
- Deep Partnership Experience: Microsoft Azure preferred partner, Microsoft Gold Certified Partner, cloud solution provider (CSP) and managed services provider (MSP).
Read more in the Fact Sheet and contact us to learn how DXC can accelerate your analytics workload migration to the cloud and take advantage of AI and machine learning technologies..