Data Management
At Celtis, we have over 20 years experience in Data Management with significant know-how in managing complex information requirements within the financial sector.
Information Architectures and Data Modelling
Finding resources with the right balance of in-depth business know-how and the correct modelling techniques is essential to delivering a complete and detailed Requirements Specification. All too often projects fail to achieve this with many months or more spent on modelling only to find that developers still need to use development time to do the detailed data analysis. Too often too much time is spent discussing modelling style and not on the business content. Another problem is too high expectations on what proprietary data models can deliver with high overheads arising from consultancy on the model while essential in-house data analysis is neglected.
At Celtis, we specialize in delivering data models and data architectures to suit the needs of our clients’ environments. We will set up the data modelling methodology and guarantee to choose the optimal modelling techniques and deliverables for the project in hand.
With our vast experience in operational applications, datawarehouse projects and migrations projects, our services include:
- Design and build of Information Architectures & Data Standards
- Data Analysis
- Business Data Modelling (build or take-on of proprietary models)
- Logical Data Modelling
- Physical Database Design
- Definition and implementation of the data modelling methodology from data analysis through to database design
- Automation of the modelling and design process to enable database object generation
Database Administration and Engineering
Having completed the design phase, we can support our customers in the creation and maintenance of the DBS on:
- DB2 z/OS
- DB2 UDB
- Oracle
- SQL Server
- Sybase