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Each initiative is preceded by a Business Intelligence Readiness Assessment which comprises a...
During this phase the deliverables of the project are scoped and defined in sessions with the customer’s personnel.
We approach all BI projects from a business rather than a technology point of view, clearly identifying primary business needs and areas where quick wins can be achieved.
In addition to the initial reports required by business, ongoing analysis of new information is required.
Traditional performance measures are insufficient to gauge performance and guide organisations in today’s rapidly changing, complex economic landscape.
Traditional performance measures are insufficient to gauge performance and guide organisations in today’s rapidly changing, complex economic landscape.
Given that BI solutions aim to empower people to make better decisions, user adoption of a BI solution can mean the difference between...
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Data Warehouse and BI Infrastructure Development
We approach all BI projects from a business rather than a technology point of view, clearly identifying primary business needs and areas where quick wins can be achieved. This approach allows for the incremental building of a scalable Data Warehouse, Data Marts and front end applications, delivering immediate business value and a speedy return on investment (ROI).
Best practices and methodologies used in past proven implementations are applied to the design and building of the BI Infrastructure. Delivery is divided into logical phases, supporting the achievement of the identified long- and short-term business information needs.
The data warehouse is the foundation of an effective enterprise information delivery framework. Our approach is to build it one data mart at a time using information found in existing company production systems. The shared ‘conform’ dimensions between data marts allow users to begin asking questions across subject areas.
The main phases followed in the BiPS implementation methodology include:
- Business Analysis, System Analysis and Data Discovery
- Dimensional Modelling, Logical Data Modelling and Physical Data Model design
- Design and development of ETL routines and processes.
- Metadata Design and Modelling
- Development of Multidimensional Cubes and Reports
- Design and Development of Visualisation and Scorecarding structures and models.
- Configuration and set-up of Web based information presentation portal.
- User Training, User Acceptance Testing and Handover
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