Success Story

• The client is a leading media company specializing in media planning, buying, and investment management across digital, television, print, outdoor, and social media channels.
• Its core operation is to maximize clients' advertising ROI through data-driven strategies, advanced analytics, and cutting-edge technology.
• The firm navigates complex media landscapes via specialized agencies that deliver media solutions, optimize consumer interactions with data, and execute high-impact campaigns, particularly in programmatic media using AI and data.
• Its focuses is on content, data analytics, and performance marketing to create personalized, efficient, and scalable marketing strategies.​ ​

The client sought to migrate from its existing environment to a modern AWS platform that could support global business expansion and growing campaign analytics requirements.

• As additional business units across regions needed to be onboarded, the organization required a scalable and centralized data foundation to unify campaign and client data.
• They also wanted to automate data processing and reporting workflows, and improve visibility into workflow execution and enable faster, data-driven decisions.​
• They were also looking to optimize campaign performance and reach across targeted retail use cases.​

Cybage built a highly scalable platform on AWS to automate campaign data processing, analytics, and business-unit onboarding.​

• Optimized and managed the AWS production environment to handle scalable campaign analytics workloads.
• Automated campaign data acquisition from Amazon Marketing Cloud (AMC) and centralized data storage via Amazon S3.
• Designed an event-driven processing framework to transform campaign data into analytics-ready datasets using AWS Lambda, AWS Step Functions, and AWS Glue.​
• Implemented the Tenant Provisioning Service (TPS) using AWS CodeCommit, Amazon DynamoDB, Amazon SNS, Amazon SQS, AWS Step Functions, and AWS CloudFormation to automate the onboarding process.
• Developed a customized metadata reporting pipeline that surfaced workflow execution status and failure insights through Amazon QuickSight.​
• Enabled centralized analytics and reporting with Amazon Athena and Amazon QuickSight, providing actionable campaign insights.​
• Strengthened governance through Amazon QuickSight Row Level Security (RLS), AWS KMS, and AWS IAM.

• Enabled faster, data-driven decision-making with automated campaign data processing, centralized analytics, and near real-time reporting.​
• Improved operational efficiency by automating workflow execution, monitoring, and reporting, thus reducing manual effort and administrative overhead.​
• Accelerated campaign optimization by providing timely visibility into campaign performance and key metrics.
• Simplified complexity of new business units through an automated provisioning framework, creating a scalable foundation for future growth.​
• Optimized platform operations using serverless AWS services, while strengthening governance, security, and reporting reliability.​