Kolesa Group is a leading IT company in Kazakhstan, managing online classifieds platforms with an audience of over 15 million users.

Kolesa Group faced a common challenge for market leaders: they had massive volumes of data, but how could they get the most value out of it?

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.

Why BigQuery?

Speed and Simplicity

It’s a serverless DWH that processes huge datasets without complex infrastructure setup.

Low Barrier to Entry

It offers minimal initial costs and out-of-the-box integration with machine learning (ML) tools.

Flexibility

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.

The move to Google Cloud Platform gave Kolesa Group immediate and measurable advantages:

  • 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.