Conceptual Data Modelling


Audit9 - Cloud Architects

The biggest area of risk on any Salesforce implementation project is the data model. In my view this assertion is beyond question. The object data structures and relationships underpin everything. Design mistakes made in the declarative configuration or indeed technical components such as errant Apex Triggers, poorly executed Visualforce pages etc. are typically isolated and therefore relatively straightforward to remediate. A flawed data model will impact on every aspect of the implementation from the presentation layer through to the physical implementation of data integration flows. This translates directly to build time, build cost and the total cost of ownership. It is therefore incredibly important that time is spent ensuring the data model is efficient in terms of normalisation, robust and fit for purpose; but also to ensure that LDV is considered, business critical KPIs can be delivered via the standard reporting tools and that a viable sharing model is possible…

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