Organizing data of large growing size that is created by storing information and capturing logical activities, events, actions and more by users and automated triggers by systems, require a solid understanding of data structures, the relationships, the validations, the programming methods and the basic data level controls (add, store, fetch, and delete data) in the database, for suitable interactions whilst maintaining the integrity, concurrency and fidelity of the data.

With the growing need for multiple real-time data collections, diverse sources of data to access or query, the need to build up further logic to process the data and in the growing demand for data for AI algorithms that are embedded in digital products, the capabilities to capture, process, analyze and deliver data become a crucial element of product development . We ensure that there is a continuing investment in skill development in technologies such as ETL tools, DBMS from AWS, Google, Microsoft and others, to enable our customers to succeed in their digital transformation efforts.