Business Intelligence für Microsoft Dynamics companies: 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? See more details on Power BI.
In the world of data analysis and business intelligence, Power BI has established itself as an essential tool for turning data into meaningful insights. But Power BI users often encounter a particular challenge: many-to-many relationships. In this article, we will explore how to solve this problem using a bridge table and implementing Bi-Directional Cross Filtering in Power BI, including connecting to Microsoft Dynamics NAV, Navision, and Business Central.
In Power BI, sorting categories correctly is crucial to meaningfully display data in reports and visualizations. The Fields feature allows you to select fields and dimensions to be used in a report. However, setting up an appropriate sort order for these categories can be challenging. Here we explain how the sorting order of categories in the “Fields” parameter can be controlled using sort columns and how this is beneficial in conjunction with Microsoft Dynamics NAV, Navision and Business Central.
Conclusion: The Field Switch in Power BI offers a way to optimize your data analysis in Microsoft Dynamics NAV, Navision and Business Central. Dynamic column selection allows you to flexibly explore your data and address the specific needs of your business processes. Use this feature to take your data visualization to the next level and gain meaningful insights.
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. Read more info on https://data4success.de/.
