This Case Shows Specific Expertise. Find the Companies with the Skills Your Project Demands!

You're viewing one of tens of thousands of real cases compiled on Many.dev. Each case demonstrates specific, tangible expertise.

But how do you find the company that possesses the exact skills and experience needed for your project? Forget generic filters!

Our unique AI system allows you to describe your project in your own words and instantly get a list of companies that have already successfully applied that precise expertise in similar projects.

Create a free account to unlock powerful AI-powered search and connect with companies whose expertise directly matches your project's requirements.

AdTech Data Orchestration and Real-Time Analytics Platform Development

lineate.com

Advertising & marketing

Information technology

Data & analytics

AdTech Industry Challenges in Data Management

AdTech companies face significant challenges in processing massive data streams from multiple channels, achieving real-time campaign insights, accurately attributing cross-channel conversions, ensuring creative content safety, and orchestrating first-party data for automated decision-making. Current solutions often lack scalability, real-time capabilities, and integration with advanced data science workflows.

About the Client

A data-centric AdTech company specializing in campaign performance optimization and audience engagement analytics

Key Project Goals

Develop a scalable data orchestration platform for first-party data activation
Implement real-time analytics dashboards for campaign performance monitoring
Create multi-touch attribution models for cross-channel marketing effectiveness
Automate creative content auditing with sandboxed execution environments
Enable rapid ad hoc analysis of geolocation and bidstream data

Core System Capabilities

High-throughput data ingestion pipelines for AdTech event streams
Real-time analytics dashboards with customizable KPI visualizations
Multi-touch attribution modeling with machine learning capabilities
Automated creative audit sandbox with code path analysis
Ad hoc query engine with pre-aggregated data layers
Geospatial analysis tools integrating bidstream and location data

Technology Stack

Apache Kafka for stream processing

Apache Spark for real-time analytics

AWS/GCP for cloud infrastructure

DataSwitch and Data Octopus frameworks

Python/Scala for data science implementations

System Integrations

Third-party AdTech platforms (DSPs/SSPs)
Data science toolchains (Jupyter, TensorFlow)
Cloud storage solutions (S3, BigQuery)
Security compliance frameworks (GDPR, CCPA)

Non-Functional Requirements

Horizontal scalability to handle petabyte-scale data streams
Sub-second latency for real-time analytics queries
99.99% system availability with automated failover
End-to-end data encryption and compliance controls
Automated scaling for bursty AdTech traffic patterns

Business Impact

Implementation will enable 360-degree campaign visibility with real-time optimization capabilities, reduce creative review time by 70%, improve attribution accuracy by 40%, and enable proactive market trend detection. Automated data orchestration will decrease operational costs by 30% while increasing data processing capacity by 500%.