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Next-Generation Real-Time Advertising Analytics Platform Development
  1. case
  2. Next-Generation Real-Time Advertising Analytics Platform Development

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Next-Generation Real-Time Advertising Analytics Platform Development

sigma.software
Advertising & marketing
Information technology

Scalability and Performance Limitations of Existing Analytics Platform

The current advertising analytics platform is struggling to meet the demands of rapidly increasing data volumes (millions of events per second) and the need for near real-time reporting. The existing data infrastructure is experiencing latency issues, hindering the ability to deliver timely insights for ad campaign optimization and real-time ad selection. The platform is also facing challenges in maintaining high availability and security due to increased scale and complexity.

About the Client

A large, multinational media company providing advertising solutions across various digital platforms, seeking to enhance real-time ad serving and campaign optimization capabilities.

Project Objectives

  • Develop a scalable and high-performance real-time analytics platform capable of processing 2.5 million events per second.
  • Reduce data latency to near real-time (under 5 minutes for reporting).
  • Implement a robust ad hoc reporting solution providing insights into campaign performance and trends.
  • Enhance the accuracy and efficiency of automated best-fit ad selection.
  • Ensure 24/7 availability and high security of the analytics platform.
  • Enable flexible campaign configuration and integration of new ad formats.

Functional Requirements

  • Real-time data ingestion and processing from diverse data sources.
  • Ad hoc reporting with near real-time data delivery.
  • Automated best-fit ad selection based on multiple metrics.
  • Flexible campaign configuration and management.
  • Support for various ad formats (prerolls, midrolls, banners, etc.).
  • Data governance and security features.
  • Smart monitoring and alerting for platform health and performance.

Preferred Technologies

AWS Cloud (EC2, S3, Redshift, RDS, DynamoDB, Athena)
Microservice Architecture
Infrastructure as Code (IaC)
Real-time Data Processing Frameworks (e.g., Kafka, Kinesis)
Reporting Tools

Integrations Required

  • Advertising platforms (e.g., Google Ad Manager, Facebook Ads)
  • Data sources (e.g., website analytics, mobile app analytics)
  • CRM systems

Key Non-Functional Requirements

  • High Scalability (ability to handle increasing data volumes and user traffic)
  • Low Latency (near real-time data processing and reporting)
  • High Availability (24/7 uptime)
  • Data Security (protection of sensitive data)
  • Fault Tolerance (ability to withstand system failures)

Estimated Business Impact

Successful development and implementation of this platform will enable the client to significantly improve ad campaign performance, increase revenue, enhance customer experience, and gain a competitive advantage in the advertising market. The platform will provide the agility and scalability needed to adapt to evolving market trends and customer demands. It will also lead to faster insights and quicker decision-making.

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