Big Data & Data Science
At BeeinPro, increasing user engagement is our top priority as we develop our products. We need to understand our users' interests, habits, and how they interact with the product in order to truly give them what they want and maintain their loyalty. While this is not an easy task, it is an essential component of building products that users love. We continuously listen to our users, analyzing their behaviors to understand what works and what doesn't.
To achieve this goal, we adopt a two-phase approach:
- Developing robust data pipelines and SDKs for data collection and processing,
- Democratizing data access within the company to ensure everyone can analyze the data we gather.
BeeinPro's Big Data team is responsible for building end-to-end data pipelines and delivering processed data to target services. This infrastructure enables our Data Science team to generate actionable insights that anyone can use.
The Fusion of Technology and Culture
For technology to be effective, it's not enough just to develop it; its adoption is also crucial. Fortunately, BeeinPro has a team that is never satisfied with just learning and experimenting. This approach strengthens a data-driven culture and enables the entire team to work more effectively.
For us, the technology development process is based on a very clear principle: Technology is meaningless if developed for the sake of technology itself. Effective technology finds its true value when it serves a purpose. Therefore, when developing new services, we always aim to deliver maximum benefit and ensure the technology works most effectively for our users.
Data Scale and Continuous Improvement
As our user base grows, the volume of data increases exponentially. Our big data platform continuously evolves to keep pace with this growth. Today, we collect billions of events and five terabytes of behavioral data every day. Our architecture consists of mobile SDKs, APIs, Go/Java/Python-based services, and a data warehouse that stores and processes nearly a petabyte of user data. Our Data Science team creates data models and uses visualization tools to make this data accessible to both technical and non-technical teams.
With this robust infrastructure and data science approach, we continuously work to better understand our users' needs and desires, improving our products. At BeeinPro, data is not just a tool; it is used as a compass that shapes the future.