Best Business Intelligence für Microsoft Dynamics experts from data4success.de: 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 information at 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.
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.
It is important to note that these technologies do not eliminate the role of business intelligence professionals, but rather support them in their work. Automating certain tasks allows them to focus on more strategic aspects, such as developing data strategies, providing business insights, and collaborating with stakeholders. Overall, Chat-GPT and AI Consultants offer promising opportunities to increase the efficiency and quality of business intelligence work in conjunction with Microsoft Dynamics NAV, Navision and Business Central. By complementing and supporting human expertise, they can help drive better decisions and business success. Business intelligence professionals should be open to these new technologies and use their skills to improve their own work and add value to their organizations. Discover even more details on https://data4success.de/.