Power BI experts: Then we would be happy to help you. We automate your data collection, merge the data from different sources, and generate dashboards and reports as if by magic. All of your data will also be available at all times in Excel or other analysis tools. This means you and your employees will have an overview of all numbers at all times – without manual effort. The open items are so high that the liquidity will soon no longer be sufficient? A production order has been discontinued and raw materials will soon become scarce? We can automate such questions as email alerts. Discover even more information on Microsoft Dynamics.

The challenge with many-to-many relationships: In Power BI, you can create standard relationships between tables that are classified as one-to-many or many-to-one. However, these relationships are not sufficient to adequately represent many-to-many relationships. Trying to do this often produces inaccurate results. This is where the bridge table comes into play. A bridge table is a separate table used to resolve many-to-many relationships. In this example we will look at the connection between products and orders in Microsoft Dynamics NAV, Navision or Business Central.

How to use sort columns: Creating the sort column: Start by creating a new column in your data source to serve as the sort column. This column contains sorting values that define the desired order of the categories. You can use numeric values, text values, or other criteria depending on your needs. Assigning Sort Values: Assign the corresponding sort value to each record in your sort column. Make sure the sort values reflect the desired order of the categories. You can do this manually or use DAX formulas to generate the sorting values based on specific criteria.

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.

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.

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 more information at https://data4success.de/.