QMetrix Data Warehousing Design & Build Methodology

QMetrix designs and builds data-warehouse platforms according to best practice principles. Not only does ETL FastTrack kick-start your project, our design and build methodology ensures a well-structured and extensible corporate data asset is delivered through incremental and frequent value-adding deliverables.

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Well-structured Architecture

By dissecting into staging, enterprise and presentation layers, there is logical separation between the tables populated from source systems, the tables internal to the warehouse, and the resulting tables exposed to downstream systems such as BI Analytics & Dashboards or Statistical Modelling packages.

Integrated data sources

Mapping tables and transformation logic are set up to combine data from various source systems in a meaningful structure. This, in conjunction with ETL FastTrack, allows tracing of values from various source systems as they are moved through the DWH and provided to downstream systems.

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Frequent value-adding delivery

It is no longer acceptable to have a “big-bang” approach to DWH projects. Within the context of a broader DWH strategy, it is imperative there is continual focus on identified business deliverables, be it new reports or dashboards, thus ensuring each build cycle incrementally adds value for end users. By maintaining buy-in from key stakeholders and the business alike, this approach ensures a successful and satisfactory outcome, regardless of overall project size.

QMetrix ETL FastTrack, combined with the QMetrix DWH design & build methodology, reduces the risk associated with our clients’ DWH projects. Talk to us about our proven track record in building cost-effective data-warehouses.


Master Data Management

Master Data Management (MDM) allows for a single representation of key business entities and their relationships. This includes hierarchies to represent (for example) product hierarchy relationships or accounting hierarchies. This can be linked to various front-end systems by allowing business users to update attribute values and relationships. Where practical, elements of MDM will be incorporated into the design.