Without doubt, technology—and how the world uses it—has changed dramatically in the last five years. So, too, has the demand for data insights. Accenture began the journey to improve its analytics platform by assessing if cloud-hosted PaaS offerings could address the cost, performance, and scalability challenges of the legacy data lake. Today, Accenture IT infrastructure runs in the hybrid cloud to take advantage of its scale efficiencies.
The Global IT team selected Google Cloud as the platform for its new analytics data lake, taking advantage of its established solutions and technologies and its flexible cloud platform offerings that power applied intelligence. Google Cloud enables options for deploying the right server sizing and configuration to meet the analytics’ job requirements. The Global IT team, partnering with Google, designed a modernized platform with the ability to deploy services faster, realizing improved performance and stability for the applications powered by the data lake.
As part of the transformation journey, the platform architecture and processes had to be created to align with our security needs to make sure that the data coming in and the data going out was secure at the enterprise level. With the move to Google Cloud, Accenture has created a foundation to store and analyze its enterprise data in the data lake—with room to grow.
To take advantage of the architecture, we needed to address 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.
Moving to this model means that teams can use repeatable infrastructure deployments, avoid manual configuration and introduce greater consistency. Compliance and security checks before deployment means teams can 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 has advanced our cloud capabilities with self-service analytics, real-time integration across various platforms, such as ServiceNow and Salesforce, and moved into a PaaS model with a cloud native infrastructure.