Business Intelligence für Microsoft Dynamics experts today: When analyzing the data closely, you usually go from an aggregated view to the next level of detail, and then go deeper level by level, and then back again. A good data model (formerly “cube”) connects the data so that analyzes make sense at all levels. Through targeted information (e.g. coloring), the user quickly knows what to look at in detail. If a company reacts too late to events, it can be expensive. Alarm messages shorten response times and save money. Examples: The stock of goods in the warehouse is coming to an end? Find extra information 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.
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.
The Importance of Changing Color in Tables or Matrices: Colors play an important role in data visualization because they can create visual patterns and draw attention to certain aspects. By changing the color of rows in a table/matrix, you can highlight specific data values or identify patterns in the data. This can help improve the readability and interpretability of your tables/matrices.
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. Find extra details at https://data4success.de/.