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Modernizing Our Data Platform

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Accenture is using advance analytics with Google Cloud.

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Modernizing Our Data Platform

  1. 1. STORIES Using advanced analytics with Google Cloud Modernizing our data platform View full case study
  2. 2. Copyright © 2020 Accenture. All rights reserved Cloud-first people power Running a business today is all about managing dynamic data. Accenture wanted to make better use of platform services that could develop, run and manage applications in the cloud and make our data more visible and secure. Data is what empowers our people and drives innovation for our evolving business. After just three years of use, the Accenture global IT organization recognized its analytics platform was fast becoming obsolete. We were struggling to stay technologically current. Our people were spending valuable time on operations, troubleshooting and maintenance instead of generating insights to drive our business. In May 2019, the Accenture global IT Applied Intelligence team made the strategic decision to move to Google Cloud’s Platform-as-a-Service (PaaS) model to support our IT strategy to be platform powered, cloud first and intelligence driven. The program team needed to determine how to create a secure, cost-effective and scalable architecture in the cloud while also driving the migration of data and applications from the legacy system. Using Google Cloud, we could modernize data capabilities to unlock the promise of advanced analytics, increase cost savings via a pay-as- you-go model and drive cutting-edge performance that enables a digital Accenture. We migrated our data platform to Google Cloud for sustainability and performance. But the platform does so much more—it gives us enhancements and capabilities that are delivering new business value. KRANTHI CHILUKA Managing Director Global IT CIO Applied Intelligence Call for change
  3. 3. Copyright © 2020 Accenture. All rights reserved Becoming cloud native When tech meets human ingenuity We needed to address how to manage access within Google Cloud—who could access the data, and who and how we deploy analytics into production. A new data security model, along with project governance, was created while adhering to our data compliance and audit requirements. In line with industry standards, Accenture adopted a Site Reliability Engineering (SRE) model where teams can build, operate, and run their own environments and services. Cloud native services, driven via code, meant that the cloud could optimize efficiency. Teams could now use repeatable infrastructure deployments, avoid manual configuration and introduce greater consistency. Compliance and security checks before deployment meant teams were able to work with a unified set of practices and tools to deliver applications and their supporting infrastructure rapidly, reliably, at scale and while minimizing vulnerabilities to the systems. Now, Accenture is advancing our cloud capabilities with self-service analytics, real-time integration across various platforms, such as ServiceNow and Salesforce, and taking us into a PaaS model with a cloud native infrastructure.
  4. 4. Copyright © 2020 Accenture. All rights reserved Becoming cloud native When tech meets human ingenuity (2 Copyright © 2020 Accenture. All rights reserved We needed to address how to manage access within Google Cloud—who could access the data, and who and how we deploy analytics into production. A new data security model, along with project governance, was created while adhering to our data compliance and audit requirements. In line with industry standards, Accenture adopted a Site Reliability Engineering (SRE) model where teams can build, operate, and run their own environments and services. Cloud native services, driven via code, meant that the cloud could optimize efficiency. Teams could now use repeatable infrastructure deployments, avoid manual configuration and introduce greater consistency. Compliance and security checks before deployment meant teams were able to work with a unified set of practices and tools to deliver applications and their supporting infrastructure rapidly, reliably, at scale and while minimizing vulnerabilities to the systems. Now, Accenture is advancing our cloud capabilities with self-service analytics, real-time integration across various platforms, such as ServiceNow and Salesforce, and taking us into a PaaS model with a cloud native infrastructure.
  5. 5. Copyright © 2020 Accenture. All rights reserved Migrating to Google Cloud When tech meets human ingenuity (3) In addition to setting up the new architecture, Accenture needed to drive and execute a migration strategy to move hundreds of terabytes of data from the existing infrastructure to Google Cloud. Sitting on top of the existing analytics platform were more than 50 applications driving insights to users all over the globe. The team needed to manage a seamless transition with minimal impact and no downtime to the 40,000 global consumers of those analytics applications. Accenture wanted to take advantage of cloud native components quickly `and reduce the administrative complexity, so the migration team reshaped the current applications to use on- demand infrastructure concepts and on-demand resources optimized for cloud computing. In a phased, targeted approach, applications were evaluated to reimplement the data ingestion and store strategy. Processing code remained the same, but data warehouse interfaces were moved fully to Google BigQuery and Google Cloud Composer to run workflows.
  6. 6. Copyright © 2020 Accenture. All rights reserved When tech meets human ingenuity (4) Reduce administrative complexity: We can reduce the infrastructure that we manage and pay for, adjusting it to meet our changing size and scale. Upgrades and patches take time and effort—our Operations and Architecture team must investigate, pull systems down, find fixes and implement upgrades. With the stability of Google Cloud, our people—and our operational overheads—are freed up. Improve cost efficiency: We now have a platform that is faster and more intuitive—and cost effective. It’s easy to upscale or downscale. A pay-as-you-go model gives our organization cost efficiency and elasticity— we only pay for the compute time used and receive discounted process for long-running workloads. Enable insights at speed: We can take advantage of the ecosphere of other innovative solutions and plan our roadmap accordingly. We are moving our people to become skilled on an industry-relevant platform that can meet the evolving needs of our business. Human+ results
  7. 7. Copyright © 2020 Accenture. All rights reserved Business value realized A valuable difference Copyright © 2020 Accenture. All rights reserved Using the Google Cloud Platform is giving our teams greater freedom. Now, we can: Reduce administrative complexity We can reduce the infrastructure that we manage and pay for, adjusting it to meet our changing size and scale. Upgrades and patches take time and effort—our Operations and Architecture team must investigate, pull systems down, find fixes and implement upgrades. With the stability of Google Cloud, our people— and our operational overheads—are freed up. Improve cost efficiency We now have a platform that is faster and more intuitive—and cost effective. It’s easy to upscale or downscale. A pay-as-you-go model gives our organization cost efficiency and elasticity—we only pay for the compute time used and receive discounted process for long-running workloads. Enable insights at speed We can take advantage of the ecosphere of other innovative solutions and plan our roadmap accordingly. We are moving our people to become skilled on an industry-relevant platform that can meet the evolving needs of our business.
  8. 8. Copyright © 2020 Accenture. All rights reserved Analytics transformed A valuable difference (2) The Accenture global IT organization has completely transformed our analytics platform—reducing overheads, decreasing costs in server storage and providing our people with cutting-edge, advanced analytics. Going forward, Accenture intends to continue to transform and strengthen the big data insight capabilities we offer, explore the full value of the cloud ecosystem, and open the door to more innovative solutions. US$3B Accenture investment to create a new model for rapid cloud migration. 95% of Accenture IT infrastructure operates in the public cloud. 50 Accenture applications driving insights to users across the world. 40,000 global consumers of Accenture analytics applications

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