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If your company is using Microsoft Dynamics AX, you’ll be aware of the company’s shift to Microsoft Dynamics 365 Finance and Supply Chain Management (D365 F&SCM). For more powerful, multidimensional OLAP-style reporting, however, it falls short. OLAPreporting has traditionally relied on a data warehouse.
In fact there are some very important differences between the two, and understanding those distinctions can go a long way toward helping your organization make best use of both financial reporting and analytics. Financial Reporting. What About Financial Analytics? For more information, or to arrange a demo, contact us today.
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. Online analytical processing (OLAP), which enabled users to quickly and easily view data along different dimensions, was coming of age. Data Entities. Data Lakes.
OLAP cubes Used for multi-dimensional analysis Strategic Objective When a vendor-specific connector is not available, generic connectors provide flexibility with data. Quickly link all your data from Amazon Redshift, MongoDB, Hadoop, Snowflake, Apache Solr, Elasticsearch, Impala, and more. Requirement ODBC/JDBC Used for connectivity.
Business intelligence empowers businesses to get the most out of their data by providing tools to analyze information, streamline operations, track performance, and inform decision-making. But finance professionals can encounter roadblocks when seeking deeper analysis than their technical knowledge of Power BI permits. Access Resource.
Pre-built OLAP cubes, tabular models, and a data warehouse. Boost refresh times with star schemas, tabular models, and OLAP cubes. Build cohesion and improve team output with a complete data preparation, automation, and modeling tool, and a BI customization platform that is five times faster than manual coding.
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