Empowered Weather Reporting Service with Centralized Data Analytics and Targeted Advertising

Case Study

Problem

The client needed to aggregate large data from disparate systems into a single Azure Data Lake.
The objective was to enhance data analysis and enable more accurate marketing of internet advertising based on data analytics.

People Tech collaborated with the client to review the systems and data sources, establishing the overall data architecture.
Thorough data analysis was conducted to determine business goals and identify key questions for optimizing data usage in advertising.
Tera bytes of data from platforms like Google, SQL Server, Oracle, and Amazon were harvested and consolidated into a centralized Azure Data Lake.
The architecture was implemented, and machine learning capabilities were leveraged for real-time weather forecast predictions.
The aggregated data and machine learning capabilities enabled more targeted regional advertising based on weather patterns.

The implementation yielded significant outcomes for the weather reporting service.
The centralized Azure Data Lake combined with machine learning algorithms provided accurate real-time weather forecasts.
The solution empowered the service to conduct more effective and targeted advertising campaigns based on regional weather conditions.