Speed and Simplicity
It’s a serverless DWH that processes huge datasets without complex infrastructure setup.
Kolesa Group is a leading IT company in Kazakhstan, managing online classifieds platforms with an audience of over 15 million users.
The company needed to:
Gain deep analytics to understand business performance.
Develop key performance indicators (KPIs) to track efficiency.
Monitor trends in the real estate and automotive markets.
Speed up product development through A/B testing and rapid hypothesis validation.
Simply put, they needed a tool that could turn data into fuel for growth.
Elcore stepped in as a partner, analyzing the client’s needs and proposing the optimal solution: building an analytical data warehouse (DWH) on Google BigQuery.
It’s a serverless DWH that processes huge datasets without complex infrastructure setup.
It offers minimal initial costs and out-of-the-box integration with machine learning (ML) tools.
It’s perfect for a data-driven approach where decisions are based on data, not intuition.
Elcore provided full project support, from consulting and implementation to technical assistance, ensuring a quick and smooth transition.
Record-Fast Deployment: The analytical warehouse was up and running in just one day, allowing data analysis to begin immediately.
Cost-Effectiveness: The pay-as-you-go model significantly reduced IT spending.
Limitless Scalability: BigQuery’s serverless architecture made it easy to adapt to growing data volumes without sacrificing performance.