Our customer is one of the leading European media conglomerates providing users from over Europe with the content via television, radio, and online means of content distribution.
Detailed information about the client cannot be disclosed under the provisions of the NDA.
The client came up with an idea of a platform that would allow the launching of advertisement campaigns via such sources as television channels and radio stations. Also, the solution should allow the client to evaluate the results of launched ad campaigns for further adjustments.
To create such a platform, Innowise Group’s software engineers needed to
Google Cloud PlatformThe solution is based on the Google Cloud Platform because it guarantees availability at 99.95% regardless of the user location or traffic which is the best result among all popular options.
KubernetesAll the workloads and services working on the GCP are operated by Kubernetes. This system was chosen because of its automated scalability both upwards and downwards depending on the actual demand and consequent cost efficiency of the technology.
ETL pipelinesThe primary data sources provided by the client were relational databases. Our data engineers have designed ETL pipelines to aggregate data chunks from the client’s sources into the cloud storage as parquet files.
Data lake and data warehouseAll the data gathered through ETL pipelines gets transferred by Apache Airflow to the data lake for the refinement process. After the “dirty” data gets “clear”, it is sent to the data warehouse from where it can be sent directly to the users or be utilized by data scientists for building models and predictions for various advertising metrics.
We have selected Scrum as a software development methodology, with bi-weekly sprints and a Sprint overview to demonstrate the valuable portions of functionality added. We used Jira and Confluence, and all the meetings were held in Google Meets.
Innowise Group’s team developed the software requirements according to the client’s vision of the solution and documented them. During the development process, we were analyzing, refining, and decomposing those requirements into tasks for easier progress tracking. After several requirements were completed, Innowise Group’s quality assurance engineers checked whether the solution was developed according to the requirements, had no bugs, and the whole development team was on the same page with the client’s vision and desired outcomes.
Innowise Group has built the platform via which customers can launch their advertisement campaigns through multiple media sources, track various metrics, and build predictions utilizing both refined and non-refined data.
Our software engineering team has automated an array of previously manual processes and designed the data flow to make the software product as efficient as possible.
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