Data engineering is the process of designing and building systems that let people collect and analyze raw data from multiple sources and formats. These systems empower people to find practical applications of
the data, which businesses can use to thrive.
Design of modern data infrastructure for data-driven enterprises. We take into account the frameworks that the organization uses.
Designing and implementing schemes, processes, policies and procedures. Defining roles that manage the complete data life cycle in the organization.
Ensuring data availability, usability, integrity and security following the best standards.
Design and implement automated pipelines to create models of data that help transform raw data into understandable and meaningful insights.
Data protection against leakage, loss or damage.
Simply put, a data catalog is an organized inventory of data assets in the organization.
A central repository of integrated data collected from many sources.
Data management from acquisition to archiving.
Tools supporting the acquisition of data from sources, it’s processing, and transfer to databases.
We share our extensive experience with clients, covering all aspects of data collection and use. We help to develop and optimise processes and policies, ensuring standardisation of the full data life cycle, including:
We build an environment of tools and processes that automate the movement and transformation of data between sources and the data warehouse.
We create data models and fill them with relevant data to provide managers with information for advanced business analysis and reporting. We ensure that raw data is processed and delivered to departments (e.g. finance, sales, marketing) as valuable, meaningful and understandable information. Managers gain data insights that help them make decisions.
You can be sure that your company legally processes data from reliable sources. The data is safe and available to company users according to their level of access.
