Financial Institutions.
We provide services to financial institutions for market trend forecasting, risk factor analysis and investment planning.
These technologies include Hadoop (along with most of the technologies in use such as Hive, Spark, HBase, etc.), Oracle, AWS, Azure, Kafka, JupyterLab, Kerberos, Airflow, Feature Store, Snowflake, and others. All these technologies are interconnected, allowing us to provide our customers with a complete and efficient solution.
Our experience in big data analytics is broad and spans many industries.
We provide services to financial institutions for market trend forecasting, risk factor analysis and investment planning.
For aerospace companies, we can optimize manufacturing processes and improve product quality through data analysis, predict parts replacement, etc.
For IoT applications, we offer solutions for monitoring and controlling devices through data analytics including anomaly detection, improving device performance, just-in-time spare parts inventory based on predictions from historical data, sensor data, etc.
We are open to collaboration and are flexible to meet each customer's requirements. That is why we can offer services in different models, including cloud or in-house network solutions.
If you are looking for a reliable partner for big data analytics, please contact us. We are ready to provide effective and efficient solutions that help you extract valuable insights from your data and boost your business.
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If you have any questions or are interested in our products, please do not hesitate to contact us via the contact form.
We will be happy to provide you with further information and answer your questions.