Experience has proven that you need a hybrid of a data-business analyst to successfully drive the business requirements process. This person must be able to extract information from the business community and then help translate their needs into a requirements document. We can help you drive this process. Now that you have a requirements document, you can start to develop a logical model. The logical model is the first step for turning business requirements into a relational database.
Data analysts use the logical model to create an inventory of required data elements.
The team can quickly narrow project scope if it is determined that some of the data elements are not available, or if the accuracy of certain data element are questionable. The logical model forms the basis for all meta data. Meta data is used everywhere in the project lifecycle. Most importantly, it forms the semantic layer between the end user and the BI tool. The logical model is the basis for the physical model.