Advanced data analysis

We provide comprehensive solutions using AI techniques: from analysis, through modeling, to production implementations.

Real-time analysis

Challenge

The amount of data generated in your company and around the world is growing and will grow more and more quickly. We believe that the more data, the greater their potential. The only question is how to use it? The answer is real-time analysis.

By using real-time machine learning, you can, for example:

• anticipate behavior and point out highly personalized recommendations to the consumer, thereby making him happy and loyal
• monitor social media to track the results of marketing campaigns or customer feedback about your new product
• monitor your infrastructure to anticipate failures and avoid downtime and work interruptions
• anticipate fraud and abuse

Data Lake

We provide a managed data lake service in the cloud. Data Lake is an economical architecture that provides the flexibility and agility needed to store huge amounts of data in one location. The data is stored in the original form, without any defined schemes. Thanks to the fact that the storage and computing resources are separate, the analysis can be scaled as needed, thereby providing accurate tips for your business.

Data lake combines various data sets with advanced analysis, provides valuable insights for the company, drives data.

Managed Data Lake is a management service and advanced analysis of all your data. Data lake to:

• access to insights based on your data on demand, without prior definition of schemes
• thanks to the cloud you reduce operating costs, data storage and ETL in the cloud is much cheaper than the solutions used in the company's headquarters
• you pay for computing resources only when you need them, without the need to maintain an expensive cluster that runs all the time

Consulting

Technological consulting

We will support your data-driven transformation, we can do it in many ways:

• Architecture and technology audits:
• Design and optimization of a given data model in such a way as to take advantage of the strengths of the technology used
• Performance optimization (Spark, Cassandra)
• Advice on the migration of any existing cloud solution

Training for IT

• Spark
• Cassandra
• Other