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Custom AdTech Reporting Dashboard Development
  1. case
  2. Custom AdTech Reporting Dashboard Development

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Custom AdTech Reporting Dashboard Development

https://clearcode.cc
Advertising & marketing
Information technology

Business Challenges in AdTech Data Management

Inability to efficiently aggregate and process fragmented data from multiple sources, high latency in reporting (exceeding 10 minutes), lack of scalable infrastructure for real-time metrics visualization, and difficulty providing customizable publisher-facing analytics for campaign optimization.

About the Client

A leading video AdTech company specializing in programmatic advertising solutions

Strategic Development Goals

  • Enable real-time campaign performance insights for publishers
  • Reduce data processing-to-visualization latency to under 10 minutes
  • Create scalable infrastructure for handling heterogeneous log formats
  • Provide customizable filtering options by demand partners, devices, and time intervals

Core System Capabilities

  • Multi-source data aggregation from ad mediator platform
  • Log normalization and format conversion engine
  • Real-time metrics processing pipeline
  • Interactive dashboard with filtering capabilities
  • Automated report generation and scheduling

Technology Stack Requirements

AWS
Apache Spark
Python
JavaScript
Terraform
Docker
Kubernetes

System Integration Needs

  • Amazon S3 (data storage)
  • Amazon EMR (Spark processing)
  • PostgreSQL (RDS)
  • Amazon EKS (container orchestration)

Operational Requirements

  • Sub-10 minute data processing latency
  • Auto-scaling infrastructure for variable workloads
  • Containerized microservices architecture
  • Infrastructure-as-code deployment model
  • High-availability dashboard uptime

Expected Business Outcomes

Enables publishers to optimize inventory management through real-time performance insights, reduces operational overhead via automated data processing pipelines, improves client satisfaction with customizable reporting options, and establishes foundation for future AI-driven ad optimization capabilities.

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