Power BI companies: Workshops on Power BI (setup, use, best practices) as well as tools from Microsoft relevant to business intelligence (SQL Server, Azure, Analysis Services) and connection to data sources. Sustainable conception of your reporting infrastructure in the company for consistent KPIs. Individual selection of software components. Creative advice for your specialist departments on the possibilities with Power BI. Our programmers automate your entire reporting landscape. Even the most difficult cases can always be solved. 100% Microsoft technologies for your success. Read additional details at Business Intelligence 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.

Why are sort columns important? Sort columns are additional columns in your data source that contain specific sort values for categories. They provide a flexible way to adjust the order of categories based on user-defined criteria. Instead of relying on the native data columns, you can implement custom sorting logic that makes it easier to display and interpret your data the way you want.

Effective data analysis is crucial for companies that use Microsoft Dynamics NAV, Navision and Business Central as their ERP systems. Power BI, Microsoft’s powerful business intelligence tool, offers a feature called Field Switch that allows you to dynamically select columns and simplify your data analysis. In this article, you’ll learn how you can use the Field Switch in Power BI to optimize your data analysis. We will also make the connection to Microsoft Dynamics NAV, Navision and Business Central to clarify the relevance of this function to your business data.

Introduction to AI Advisor: An AI Advisor (also known as AI Advisor or AI Consultant) is a system or software based on artificial intelligence and machine learning that helps companies or individuals provide advisory services. AI advisors are designed to analyze data, identify patterns, make predictions, and make personalized recommendations to improve decisions and achieve strategic goals. Chat-GPT can be viewed as a form of AI advisor. However, an AI advisor can be defined more broadly to include different types of systems or software that offer advisory services. Data Mining and Predictive Analytics: Business intelligence experts use data mining techniques and predictive analytics models to predict future events or trends. By applying machine learning and statistical models, they help optimize marketing campaigns, customer segmentation and demand forecasting.

Chat-GPT and AI Advisor technologies undoubtedly have the potential to automate and improve certain aspects of business intelligence tasks associated with Microsoft Dynamics. They can analyze complex data, identify patterns, and even make informed recommendations. This allows routine tasks to be completed more efficiently and frees up time for other valuable tasks. Key features of Power BI Helper: Metadata Analysis: Power BI Helper allows you to perform comprehensive metadata analysis to gain a better understanding of your Power BI projects. You can get detailed information about data models, tables, fields, relationships and visualizations. Performance Monitoring: The tool provides features to monitor the performance of your Power BI reports and dashboards. You can identify bottlenecks and bottlenecks and identify optimization potential to improve query and load times. Find even more details on data4success.de.