Big data processing platform

Client

Big data processing startup

A group of entrepreneurs came up with an idea for a platform that would help businesses make better data-driven decisions. While most businesses hire data analysts for semi-manual data processing, our client wanted to build a platform that retrieved, transformed, and delivered data in the desired format to the client automatically. Ultimately, the goal was to enable users to make informed decisions and drive their business' success.

Problem

Small startup struggles with delivering large datasets to clients

Being a small startup in the world of big data posed a significant challenge. Our client faced the dilemma between allocating their resources to immediate manual dataset processing and their goal of data processing automation.

Solution

Data processing platform that can take on clients of any size

To help the startup generate revenue and further investments even before data processing automation, Syberry deployed a team of data analysts whose task was to transform raw data into categorized, user-friendly formats before the deadline. The team used Airflow and Python to turn jumbled numbers into a clear dataset in under eight business hours.

The scripts the team wrote over the years proved useful when we automated data processing. We utilized the team's experience to build a platform that automatically retrieves data from the source, validates the data, studies patterns within the dataset, converts it into the format requested by the client, and delivers the data. The platform requires manual intervention only if it encounters a non-standard situation such as an unusual data entry.

After we released the MVP of the platform, the startup was able to attract more clients, including the biggest players on the market. In the process, they transformed from a young startup to a maturing enterprise.