Business Intelligence für Microsoft Dynamics companies 2023: 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. See extra info at Power BI.
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.
In the rapidly evolving world of artificial intelligence and automated technologies, the question arises whether Chat-GPT (Generative Pre-trained Transformer) or AI consultants are a threat to traditional business intelligence jobs, especially when combined with Microsoft Dynamics NAV, Navision and Business Central. In this article, we examine how these technologies work and what impact they could have on the role of business intelligence professionals in the Power BI and Microsoft Dynamics environment. Chat-GPT explanation: Chat-GPT (Generative Pre-trained Transformer) is a language model developed based on OpenAI’s GPT architecture. It uses machine learning and artificial intelligence to generate human-like text and respond to natural language. The way Chat-GPT works is based on a so-called Transformer network. This is a neural network that was specifically developed for processing sequential data such as text. The Transformer model consists of multiple layers of attention mechanisms that allow the model to understand contextual relationships between the words in the text.
The future of business intelligence jobs will be closely tied to chat GPT and AI consultants. These technologies have the potential to transform the way business intelligence professionals work and further increase their efficiency and effectiveness. Here are some trends and developments that could shape the future of business intelligence jobs: Advanced data analysis: Chat GPT and AI Advisors will offer more advanced data analysis capabilities to gain even deeper insights into business data. Advances in machine learning and artificial intelligence will help identify patterns, relationships and trends in the data that would be difficult for human analysts to detect. Natural Language Processing (NLP): Integrating NLP with Chat-GPT and AI Advisors will further improve communication and interaction with these systems. Users will be able to use natural language to ask questions, make requests and retrieve information, improving usability and accessibility. See additional info at https://data4success.de/.