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That stands for “bring your own database,” and it refers to a model in which core ERP data are replicated to a separate standalone database used exclusively for reporting. That works reasonably well for traditional reporting functions. For more powerful, multidimensional OLAP-style reporting, however, it falls short.
Broadly speaking, these kinds of reports fall under the heading of “operationalreporting”, because you use them as part of routine operations rather than as a financial management tool. In contrast with financial reporting, analytics tends to cast a much wider net in terms of its overall purpose and objectives.
Consultants and developers familiar with the AX data model could query the database using any number of different tools, including a myriad of different report writers. Data entities are more secure and arguably easier to master than the relational database model, but one downside is there are lots of them! Data Lakes.
This change also complicates matters considerably whenever you make changes to the underlying database, such as when your company builds custom extensions or installs third-party products alongside Microsoft D365 BC, or when Microsoft adds new features to the product that result in changes to the underlying data model.
These licensing terms are critical: Perpetual license vs subscription: Subscription is a pay-as-you-go model that provides flexibility as you evaluate a vendor. Pricing model: The pricing scale is dependent on several factors. It is organized to create a top-down model that is used for analysis and reporting.
Jet Analytics from insightsoftware helps bridge the gap between reporting and data visualization. Designed to work with Microsoft Dynamics ERPs, Jet Analytics is a cost-effective data preparation, automation, and modeling solution that extends the Microsoft framework to speed-up and de-risk the delivery of a modern data warehouse.
Hitting a Reporting Wall. If you use Power BI alone to generate reports, the complexity of the Microsoft Dynamics data model can be an obstacle as it requires knowledge of its proprietary DAX scripting language. Other challenges include: No automatic, real-time reporting. Enabling you to build self-serve custom reports.
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