Microsoft Dynamics experts


Posted On Oct 24 2023

Premium Power BI für Microsoft Dynamics solutions: Our customers are the hidden champions of German medium-sized businesses. Do you trade in goods or produce them yourself? With Business Intelligence from data4success GmbH, you always have your data in view. Maximum success, minimum time investment. Is your data beautifully structured in Business Central, 365, Navision or AX, but everyone is still thirsting for available information? Could you work more easily through automated evaluations and at the same time make better decisions? See even more information on Power BI für Microsoft Dynamics.

Step 1: Create the Bridge TableStart by creating a new table in Power BI that contains the unique combinations of products and orders. This table will act as a “bridge” to resolve the many-to-many relationship. Step 2: Create relationshipsCreate relationships from the bridge table to the products and orders. Make sure to enable bidirectional cross filtering to ensure the filters work in both directions. Step 3: Create your reportsWith the relationships created, you can now create reports based on many-to-many relationships. Use the bridge table to aggregate data and gain insights. Step 4: Filter and drill down Bi-directional cross filtering allows you to flexibly filter and drill down data in your reports. You can find specific information in your database whether you are navigating from products to orders or vice versa.

Using sort columns in Power BI’s Fields parameter is a powerful way to specifically customize the sort order of categories. By creating custom sort values and applying these sort columns, you can ensure that your data is presented in visualizations exactly as you intend. The flexibility and adaptability of sort columns allow you to create meaningful reports that effectively convey the message you want.

Introducing the Field Switch: The Field Switch is a powerful feature in Power BI that allows you to dynamically select and present columns in your data visualization. Instead of having a fixed column selection, you can use the Field Switch to change the columns displayed based on user input, filters, or other conditions. This allows you to perform more flexible and customizable data analysis.

Data analysis: Business intelligence experts collect, clean and analyze large amounts of company data. You use statistical models and database queries to extract relevant information and identify patterns, trends or relationships. Reporting and Dashboards: Business intelligence experts create reports, dashboards, and visual presentations to illustrate key performance indicators and metrics. This allows managers and decision makers to monitor the current state of the company and make informed decisions. Business analysis: Business intelligence experts interpret and analyze the collected data to gain insights into business operations. They identify weak points, opportunities and risks and provide recommendations to optimize business processes and increase profitability.

However, human expertise and the ability to interpret complex data, particularly in Microsoft Dynamics NAV, Navision and Business Central, remain crucial to making informed decisions. Business intelligence experts have a deep understanding of the business and the underlying data. They can provide context, identify relationships, and gain strategic insights that go beyond automated analysis. The future of business intelligence jobs in the Power BI and Microsoft Dynamics environment will most likely be characterized by the combination of human intelligence and powerful technologies, such as chat GPT and AI consultants, to achieve the best possible results. Business intelligence professionals can use the results of these technologies to make their work more effective and gain faster insights in conjunction with Microsoft Dynamics NAV, Navision and Business Central. You can review, validate, and contextualize the automated insights into the context of the company and the specific Microsoft Dynamics environment. Discover additional details at https://data4success.de/.

Last Updated on: November 8th, 2023 at 8:49 am, by


Written by Gica Hagi