Axenix Data Lab Data Lab

The main articles are:

• Data mining Data mining
• Data Quality Management
• Data management

2025: Data Lab Launch

Axenix March 14, 2025 announced the launch of data the Data Lab. The service will be available to companies using a subscription model. This will allow customers to easily connect the Axenix team to tasks in the field, data management analytics and. artificial intelligence

Data Lab works in Consulting as a Service (CaaS) format. According to Denis Shipulin, head of Data Analytics for banks and resource companies at Axenix, this minimizes formalities and implies more flexible conditions for cooperation than with the classical form of project work. Thus, Axenix teams can be involved in point tasks as needed (as opposed to a continuous engagement scheme), which allows customers to accelerate their needs without the serious cost of attracting external resources.

Data Lab provides services in the field of data management (Data Governance), development and analytics (Data Engineering and Data Analytics) and artificial intelligence (Artificial Intelligence). Data Lab has a trial period of 1 month, during which companies can test a new service and evaluate the quality of service. For further work, the customer needs to purchase a paid subscription that provides SLA according to the requested volume and speed of fulfillment of needs.

Axenix is ready to develop a data strategy, analyze data quality, fill catalogs and dictionaries of terms, and also close other data management needs of companies. In the field of data engineering and analytics, Data Lab provides services such as formulating business requirements and specifications for data marts and BI reports, developing part of a data warehouse (DWH), integrating source systems with storage, etc.

Companies implementing artificial intelligence technologies can use Data Lab to develop and test ML models, GenAI. In addition, Data Lab can be useful at the start of AI projects, when it is necessary to formulate business requirements for models of machine learning and computer vision, assess the potential business effects of project implementation, investigate data for more effective model training, prepare data sheets, find and eliminate errors in the operation of models.

Companies are increasingly looking for quick and low-cost ways to test technology solutions. Our approach allows customers to minimize risks, quickly test hypotheses and assess the potential of technologies without complex bureaucratic processes, which makes the service especially relevant in current market conditions. We already see the interest of customers in such a model of work and are confident that the demand for Data Lab services will grow, - said Denis Shipulin.

According to him, Data Lab also has a collaborative mode of operation by customer consent, when different companies see each other's cases in a common library, can evaluate and use the successful results of previous works for their own purposes. Axenix notes that Data Lab has all the necessary processes to quickly apply the accumulated expertise to different customers.