Business Intelligence für Microsoft Dynamics experts: Our customers are the hidden champions of German medium-sized businesses. Do you trade in goods or produce them yourself? With Business Intelligence from data4success GmbH, you always have your data in view. Maximum success, minimum time investment. Is your data beautifully structured in Business Central, 365, Navision or AX, but everyone is still thirsting for available information? Could you work more easily through automated evaluations and at the same time make better decisions? See extra details at Business Intelligence.
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.
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.
Visualizing data in tabular format is an effective way to present information and gain insights. In Microsoft Dynamics NAV, Navision and Business Central, popular ERP systems from Microsoft, data analysis plays a crucial role for companies. In this article, you’ll learn how to change the color of rows in Power BI tables or matrices based on data values. In this article, you’ll learn how you can use this functionality to make your tables or matrices in Power BI more meaningful and interactive.
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 extra information on https://data4success.de/.