Technology Category
- Application Infrastructure & Middleware - Data Visualization
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Electrical Grids
Applicable Functions
- Sales & Marketing
Use Cases
- Leasing Finance Automation
- Time Sensitive Networking
Services
- Data Science Services
- System Integration
About The Customer
Mediahub is a globally recognized media planning and buying agency that specializes in providing media data analytics solutions. They serve a range of high-profile clients, including Western Union, Netflix, Dropbox, Pinterest, and Twitch. With over 900 employees spread across 10 countries, Mediahub was named 'Media Agency of the Year' by Ad Age in 2019. The agency's primary challenge was managing and analyzing the vast amount of data scattered across various advertising platforms, which was time-consuming and often led to delays and frustration.
The Challenge
Mediahub, a leading global media planning and buying agency, was grappling with the stress of creating data reports and analyzing performance for its global clients. The agency's growing data was scattered across various advertising platforms, making it difficult to manually keep up with API changes that required constant monitoring and updating. These API connectors often broke, causing delays and requiring data engineers to spend time and effort fixing them. Despite having a full-time engineer to develop an in-house solution, Mediahub needed to automate the data acquisition and management process to alleviate the frustration and inefficiencies.
The Solution
Mediahub implemented Adverity, an automated platform, to streamline their data processes. The implementation was straightforward and quick, with the team able to start utilizing the data within two weeks. This was crucial in continuing to serve their large-scale clients without interruption. Mediahub used automation to rapidly aggregate and analyze data from advertising platforms such as Google Campaign Manager and Facebook. The collected data was funneled into a data warehouse hosted on AWS. After the data was transformed, it was sent to various analytics and data visualization tools used across the agency, such as Power BI. This complete automation and having a single source of truth for data significantly reduced the time spent on data management.
Operational Impact
Quantitative Benefit
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