CTV Data Aggregation for Unified Ad Revenue Dashboards
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Solution Overview
Problem
Publishers operating in the connected television ecosystem face challenges in aggregating, organizing, transforming, normalizing, and visualizing advertising revenue and viewership data across disparate platforms, leading to inefficiencies and lack of transparency in their business metrics.
Innovation Solution
A system and method for aggregating advertising revenue that consolidates data from various advertising platforms, creates dashboards for transparency, and automates data consolidation, organization, and visualization, using a cloud-based database and automated applications to handle data from multiple sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual data collection and aggregation methods are used across multiple advertising platforms, then data can be collected from disparate systems, but the process becomes time-consuming and prone to errors
Solution Approach 1:
The system enables automated self-service data collection where the aggregation platform automatically connects to multiple advertising platforms, retrieves data using stored credentials, and processes it without requiring manual intervention. This eliminates human error in data collection while maintaining continuous operation across all connected platforms.
Solution Approach 2:
The system performs preliminary actions by pre-configuring login credentials and API connections for multiple advertising platforms before data collection begins. This setup phase allows the system to automatically authenticate and retrieve data from all platforms simultaneously, eliminating the need for manual login processes each time data is needed.
2Adaptability or versatility
If multiple reporting platforms and third-party syndication platforms are used, then comprehensive data coverage is achieved, but the complexity of managing unique login credentials and configurations increases
Solution Approach 1:
The aggregation platform serves as a universal interface that can connect to and aggregate data from multiple types of advertising platforms, distribution platforms, and third-party syndication platforms through standardized connection methods. This multi-functional capability allows comprehensive data coverage while presenting a single unified interface to users.
Solution Approach 2:
The aggregation platform acts as an intermediary layer between users and multiple advertising platforms. It manages all login credentials, API keys, and platform-specific configurations internally, shielding users from the complexity of individual platform requirements while maintaining the ability to access data from all connected platforms.
3Loss of information
If data is collected from various advertising servers and marketplaces, then comprehensive advertising revenue data is obtained, but the effort required to consolidate and normalize data increases
Solution Approach 1:
The system segments data collection and processing into distinct modular components: data retrieval from individual platforms, data normalization, aggregation, and visualization. Each platform's data is processed through standardized segments that handle authentication, data extraction, transformation, and loading, making the overall process more efficient and maintainable.
Solution Approach 2:
The system automatically adjusts processing parameters based on the specific data format and structure of each advertising platform. It dynamically modifies normalization rules, data transformation logic, and aggregation methods to accommodate different platforms while maintaining consistent output formats, thereby reducing manual processing effort.
4Productivity
If automated data aggregation is implemented, then manual effort and data inconsistencies are reduced, but the initial setup and system complexity increase
Solution Approach 1:
The automated aggregation system is designed to be self-configuring and self-maintaining. It automatically manages credential storage, handles API authentication, performs data normalization, and generates reports without requiring ongoing manual intervention. The system's complexity is encapsulated internally, presenting a simple interface to users while maintaining sophisticated automated processing capabilities.
Data Source
AI summary
A system and method for providing and synthesizing data for publishers operating in the connected television ecosystem. Data from third party reporting platforms may be combined to present a unified view. Audience engagement may be measured, observed, and combined in a novel manner, providing unique insights to users.