Integration of Cloud and On-Premise Dynamics Sources into one Data Warehouse
Adding any external database using Power Query-based BI4Dynamics ETL and Power BI Datamart
Extending BI4Dynamics Corporate Tabular Model by adding any source supported by Power BI Desktop
Solution, not a Project
D365 BC
BI4Dynamics’ automated process of building business intelligence creates more than 1 million lines of code. It copies 179 tables and 6119 columns from D365BC, and brings them to Azure Data Lake and then to BI4Dynamics Data Warehouse.
The very next day after the installation of BI4Dynamics you will have access to more than 1500+ BI Fields (KPIs) that can be easily accessible using predefined Power BI or Excel dashboards.
D365 F&O
BI4Dynamics’ automated process of building business intelligence creates more than 1 million lines of code. It copies 192 tables and 2074 columns from D365F&O, and brings them to Azure Data Lake and then to BI4Dynamics Data Warehouse using Synapse.
The very next day after the installation of BI4Dynamics you will have access to more than 2107 BI Fields (KPIs) that can be easily accessible using predefined Power BI or Excel dashboards.
Customizations and Development Without SQL Knowledge
No compromises on BI content over services
The data transformation process is fully automated and your objects are created in minutes. Immediately get 1 500 BI fields covering all business areas. Perform any customization without a single line of code.
Ready to crunch any data size
Business Central data is incrementally exported to Azure Data Lake and then to Data Warehouse. Any data size can be processed delivering details on the document level.
Save money for Azure subscriptions
BI4Dynamics architecture optimizes the cost of Azure resources and performance. Services used in the Business Intelligence project are chosen wisely and are paused when not in use.
Faster Querying for best user experience
Users can choose Excel or Power BI to query the analysis services model. Data is in memory, so querying is lightning fast. Inviting more users is easy and done by scaling up the Azure Analysis resource within 1 minute.