All Technologies Used
Motivation
The client faced growing challenges in handling terabytes of marketing and VOD data daily. Manual processing was time-consuming and error-prone, limiting ad targeting efficiency. Azati was tasked with automating data collection, cleaning, analysis, and reporting, and building platforms to plan audiences, purchase ad segments, and optimize content release timings.
Main Challenges
The customer collected vast amounts of data from multiple sources. Manual ETL and analytics were slow and inefficient. Azati automated extraction, transformation, and reporting to streamline processes.
Planning TV and digital ad campaigns relied heavily on historical demographic data. Azati’s solution provided granular audience segmentation including interests, behaviors, and location, simplifying planning and improving targeting accuracy.
Analyzing VOD metrics like impressions, play rate, engagement, churn, and retention required robust BI tools. The system needed to handle high-frequency queries without performance degradation.
Our Approach
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Audience Planning Platform
- Granular audience segmentation including interests, behaviors, and demographics
- Integration with Nielsen, Prism Intelligence, Claritas, and other datasets
- Simplified campaign planning and targeting similar to Google and Facebook Ads
Audience Buying and Targeting Platform
- Fast ad campaign planning and submission
- Machine learning-based audience optimization
- Centralized interface for campaign management, scheduling, and approvals
VOD Reporting Software
- Tracking of key VOD metrics
- Insights for content release optimization
- Automated reporting to reduce manual data processing
Business Value
Cost and Time Savings: Automation of data processing and analytics reduced the time and cost required for extracting and analyzing big data manually.
Improved Data Accessibility and Maintenance: Centralized data storage allowed for easier access and maintenance, eliminating frequent data requests and providing immediate access for the company’s team and trusted third parties.
Enhanced Business Performance: The implementation of advanced data management and machine learning techniques significantly improved marketing campaign performance and content planning efficiency.
Stock Market Value Growth: The R&D program introduced innovative solutions for handling big data, leading to better performance-driven marketing and a noticeable increase in stock market value.
Public Relations and Employer Branding: The use of cutting-edge technology strengthened the company’s public image, positioning it as an industry leader and attracting top talent to its development team.
