1
Market trends 60% of all activity will use cloud as the primary application execution venue by 2020² 2020 the year by which analytics and BI in-house workloads will have moved to the cloud (surpassing other workloads)¹ Key findings 50% of IT professionals believe AI and machine learning are playing a role in cloud computing adoption today, growing to 67% by 2020⁴ DXC Analytics Modernization and Migration Factory for Microsoft Azure provides: Why Microsoft Azure? Gain business value from advanced capabilities Meet compliance requirements Adapt to changing business needs and new technology Manage costs with minimal upfront investment Scale to market demand Extensive analytics services and accelerators for agile development of applications Mature “run” processes, tools, DevOps and detailed usage reporting for optimized management of run charges Helping your enterprise: Improve analytics reliability and scalability Lower total cost of ownership and enhance capability Stay ahead of competition with rapid insights 51% of enterprises indicate a top initiative includes moving more workloads to the cloud⁵ 700+ exabytes of industry-cloud-stored data shared between enterprises (double that of today)³ Technology-centric transformation altering business demands Limited specialized resources and ability to quickly train Balancing the pace of change with fixed IT 63% of survey respondents state that digitally transforming enterprises is the leading factor driving greater public cloud adoption⁶ RightScale reports: From 2017 to 2018, Microsoft Azure adoption increased from 34% to 45% Forbes reports: 42% of respondents are predicting Microsoft Azure will gain more market share by 2020⁸ Legacy systems constraining digital transformation Platform disruption that demands innovation Human vs. machine — the impact of AI and automation Accelerate modernization and migration through a factory approach Efficiency using best practices, accelerators, design patterns and methods Consistent execution by skilled teams Why DXC Analytics Modernization and Migration Factory for Microsoft Azure? Complete analytics modernization and migration solution — from assessment to management Minimize business disruption during analytics modernization and migration Experience securing analytics and data in the public cloud Speed to develop new analytic solutions Expertise in Microsoft Azure technologies and tools Established analytics data labs and migration factories supporting 7 global centers 900+ Analytics clients supported — we have the experience to quickly build your migration plan and implement with consistency Agile approach to manage risk and accelerate migration Enable business agility for ongoing enterprise flexibility Advisory stage to assess risk and prioritize workloads DXC Analytics Modernization and Migration Factory for Microsoft Azure Our approach accelerates analytics migration and enhances capabilities Analytics migration to public cloud Cloud transformation of analytics Leveraging DXC’s factory approach Deploy the ongoing benefits of analytics migration to the cloud. Ongoing assessment and prioritization of analytic workloads Global workforce of Azure-certified and -trained resources Distribution of modernization and migration tasks across global teams Reduced costs and timelines Quality improvements driven by dedicated migration teams Our factory approach provides your enterprise: Manage, optimize, enhance 3 Build and migrate 2 Assess and strategize 1 DXC Technology uses a three-stage “factory approach” to modernize and migrate your analytics workloads to Microsoft Azure while minimizing business disruption: Expand business-critical data availability and future-proof analytics capabilities as part of your organization’s journey to cloud Develop a competitive edge by augmenting your analytics applications with artificial intelligence and machine learning Minimize implementation risk by sourcing the right skills to architect, transform, and optimize your analytics workloads Assess and strategize Build and migrate Manage, optimize, enhance Present in 70+ countries 369+ delivery locations serving customers locally DXC Analytics Modernization and Migration factory sites: China, India, Philippines, Poland Global delivery centers: Argentina, China, Costa Rica, Egypt, India, Philippines, Poland Regional delivery centers: Australia, Brazil, New Zealand, Spain, UK, USA 200+ Analytics advisory consultants 1,000+ Microsoft Azure platform specialists 200+ Hadoop platform specialists 5,000+ Other platform specialists 8,000+ Analytics and AI professionals 1,300+ Business strategy consultants 300+ Information governance specialists Learn more at dxc.technology/migrationfactory © 2019 DXC Technology Company. All rights reserved. CP_2095a-20 Comprehensive resources for data, pipeline, analytics and reporting Trust the expertise of a global leader Scale: Skills: DXC leverages Azure-native and third-party tools to accelerate workload migration to Azure, providing: Design, delivery and daily operational support of analytics workloads Proven processes for ongoing analytics and AI management Storage and virtual network infrastructure in the Microsoft Azure public cloud Governance for financial transparency of services used, mitigating uncontrolled consumption Flexible services scalable to changing business needs, ensuring IT costs/services continually align to demand Sources: 1. 451 Research, Hosting and Cloud Managed Services Market Monitor, August 2018 2. Ibid. 3. IDC FutureScape: Worldwide Cloud 2018 Predictions (Doc # US42014717), October 2017 4. Forbes, “83% Of Enterprise Workloads Will Be In The Cloud By 2020,” January 7, 2018 5. Ibid. 6. Ibid. 7. RightScale 2018 State of the Cloud Report, January 2018 8. Forbes, “83% Of Enterprise Workloads Will Be In The Cloud By 2020,” January 7, 2018 Benefits Challenges Enterprise constraints

1 strategize 2 migrate 3 enhance...3. IDC FutureScape: Worldwide Cloud 2018 Predictions (Doc # US42014717), October 2017 4. Forbes, “83% Of Enterprise Workloads Will Be In The Cloud

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Page 1: 1 strategize 2 migrate 3 enhance...3. IDC FutureScape: Worldwide Cloud 2018 Predictions (Doc # US42014717), October 2017 4. Forbes, “83% Of Enterprise Workloads Will Be In The Cloud

Market trends

60%of all activity will use cloud as the primary application execution venue by 2020²

2020the year by which analytics and BI in-house workloads will have moved to the cloud (surpassing other workloads)¹

Key findings

50%of IT professionals believe AI and machine learning are playing arole in cloud computing adoption today, growing to 67% by 2020⁴

DXC Analytics Modernization and Migration Factory for Microsoft Azure provides:

Why Microsoft Azure? Gain business value from advanced capabilities

Meet compliance requirements

Adapt to changing business needs and new technology

Manage costs with minimal upfront investment

Scale to market demand

Extensive analytics services and accelerators for agile development of applications

Mature “run” processes, tools, DevOps and detailed usage reporting for optimized management of run charges

Helping your enterprise:

Improve analytics reliability and scalability

Lower total cost of ownership and enhance capability

Stay ahead of competition with rapid insights

51%of enterprises indicate a top initiative includes moving more workloads to the cloud⁵

700+ exabytesof industry-cloud-stored data shared between enterprises (double that of today)³

Technology-centrictransformation altering business demands

Limited specializedresources and abilityto quickly train

Balancing the pace ofchange with fixed IT

63%of survey respondents state thatdigitally transforming enterprisesis the leading factor drivinggreater public cloud adoption⁶

RightScale reports: From 2017 to 2018, Microsoft Azure adoption increased from

34% to 45%⁷

Forbes reports:

42%of respondents are predicting Microsoft Azure will gain more market share by 2020⁸

Legacy systemsconstraining digitaltransformation

Platform disruption that demands innovation

Human vs. machine —the impact of AI and automation

Accelerate modernization andmigration through a factory approach

Efficiency using best practices, accelerators, design patterns and methods

Consistent executionby skilled teams

Why DXC Analytics Modernization and Migration Factory for Microsoft Azure? Complete analytics modernization and migration solution — from

assessment to management

Minimize business disruption during analytics modernization and migration

Experience securing analytics and data in the public cloud

Speed to develop new analytic solutions

Expertise in Microsoft Azure technologies and tools

Established analytics data labs and migration factories supporting

7 globalcenters

900+Analytics clients supported — we have the experience to quickly build your migration plan and implement with consistency

Agile approach to manage risk and accelerate migration

Enable business agility for ongoing enterprise flexibility

Advisory stage to assess risk and prioritize workloads

DXC Analytics Modernization and Migration Factory for Microsoft AzureOur approach accelerates analytics migration and enhances capabilities

Analytics migration to public cloud

Cloud transformation of analytics

Leveraging DXC’s factory approachDeploy the ongoing benefits of analytics migration to the cloud.

Ongoing assessment and prioritization ofanalytic workloads

Global workforce of Azure-certified and -trained resources

Distribution of modernization and migration tasks across global teams

Reduced costs and timelines

Quality improvements driven by dedicated migration teams

Our factoryapproach providesyour enterprise:

Manage, optimize,enhance3Build

andmigrate 2Assess

andstrategize1

DXC Technology uses a three-stage “factory approach” to modernize andmigrate your analytics workloads to Microsoft Azure while minimizing business disruption:

Expand business-critical data availability and future-proof analytics capabilities as part of your organization’s journey to cloud

Develop a competitive edge by augmenting your analytics applications with arti�cial intelligence and machine learning

Minimize implementation risk by sourcing the right skills to architect, transform, and optimize your analytics workloads

Assess andstrategize

Buildand migrate

Manage,optimize,enhance

Present in

70+ countries369+ delivery locationsserving customers locally

DXC Analytics Modernization and Migration factory sites:China, India, Philippines, Poland

Global delivery centers: Argentina, China, Costa Rica, Egypt, India, Philippines, Poland

Regional delivery centers:Australia, Brazil, New Zealand, Spain, UK, USA

200+Analytics advisoryconsultants

1,000+Microsoft Azureplatform specialists

200+Hadoop platformspecialists

5,000+Other platform specialists

8,000+ Analytics and AI professionals

1,300+Business strategy consultants

300+Informationgovernance specialists

Learn more at dxc.technology/migrationfactory

© 2019 DXC Technology Company. All rights reserved. CP_2095a-20

Comprehensive resourcesfor data, pipeline, analytics and reporting

Trust the expertise of a global leaderScale:

Skills:

DXC leverages Azure-native and third-party tools toaccelerate workload migration to Azure, providing:

Design, delivery and daily operational support of analytics workloads

Proven processes for ongoing analytics and AI management

Storage and virtual network infrastructure in the Microsoft Azure public cloud

Governance for financial transparency of services used, mitigatinguncontrolled consumption

Flexible services scalable to changing business needs, ensuring ITcosts/services continually align to demand

Sources:1. 451 Research, Hosting and Cloud Managed Services

Market Monitor, August 2018

2. Ibid.

3. IDC FutureScape: Worldwide Cloud 2018 Predictions(Doc # US42014717), October 2017

4. Forbes, “83% Of Enterprise Workloads Will Be In The Cloud By 2020,” January 7, 2018

5. Ibid.

6. Ibid.

7. RightScale 2018 State of the Cloud Report, January 2018

8. Forbes, “83% Of Enterprise Workloads Will Be In The Cloud By 2020,” January 7, 2018

BenefitsChallengesEnterprise constraints