Data Management & Engineering

We develop conceptual solutions based on your needs and requirements, and ensure that we plan for both governance, security, and scalability. Perhaps an MDM effort is needed to manage and clean up your master data, so that a customer is a customer and an item is the same item regardless of the part of your organization.

Our architects can help you create an overall data architecture that supports your business needs. By evaluating existing systems and processes, we can develop a data architecture that is scalable, secure, and reliable, while enabling easy data access and analysis.

Our developers and data engineers can help you implement established data models and designs that fit your specific needs. By developing databases, data warehouses, and data integration solutions, we can help you efficiently organize and integrate your data and create a robust and scalable data environment to enable faster data access and analysis.

Together, our architects, developers, and data engineers can help you optimize your data flows and improve your data management, regardless of platform choice. We can also provide advice on best practices for data management, including data modeling, data storage, and data quality, to ensure that your data is usable, reliable, and accessible.

We work with all major platforms and tools in the field, both on-premises and in the cloud, such as the Microsoft stack with SQL Server, Azure, GCP, AWS, Snowflake, DBT, Matillion, and Databricks.