Axiante - managing innovation



- DataStage
- Advice
- Performance management
- Data warehouse
- Scorecard
- Balanced scorecard
- Customer intelligence
- Analysis
- Schedule
- Planning
Data Warehouse
Nowadays, datawarehouse solutions are accepted as being sophisticated computer systems which allow the governing body of a company to monitor the organisation as a whole. Through the creation of a single company database known as datawarehouse, consulted from the network workstations by means of specific technological tools, the end result is support of both management control and programming as well as managerial support.
Of primary importance in the development of a Corporate Performance Management solution, is the creation of a " dedicated data bank", a kind of repository of intelligence, also known as Decision Data Base. This is suitable designed and fine-tuned to house operational data (either in detail or previously gathered) optimised for the generation of "strategic information" needed to support the overall decisional process. Datawarehouses are created on an iterative approach, it being necessary to keep data banks which follow closely problems linked to an organisation's workings over a period of time. These map out processes to do with acquisition, transformation and distribution of information present inside or outside a company.
Competences
- Design of physical and logical Data Warehouse: access methods, loading, partitioning, definition of metadata and conceptual modeling (Star schema, Snowflake Schema, Fact constellations).
- Optimization of applications for the centralization of information spread across several departmental systems in order create a global and integrated company overview.
- Ability to process large volume of historical data based on complex multiple searches regardless of data model and operating system linked to it.
- Knowledge and application of technologies and methodologies based on international standards and best practices (Kimball, Inmon, Federated Dw)