Data processing and visualization

For whom

Banks, investment companies, insurance companies.

Technologies used

Apache Spark, Apache Airflow, Apache Superset, AI/ML, Python.

Challenges

Lack of timely and accurate analytics for management decision making, difficulty in processing large amounts of data.

Application examples

An investment company asked us to improve the quality of data analysis for decision making. We developed and implemented a data processing and visualization system based on Apache products. As a result, the company was able to quickly analyze data and make informed decisions, which increased the efficiency of portfolio management by 25%.