Every dataset has more to tell than what appears at first glance. A single number showing overall sales or total profit only scratches the surface; the real insights often lie deeper within the layers of the data. For instance, a strong sales figure at the national level may look promising, but once broken down into…
Tooltips are the small pop-ups you see when you hover a data point in Power BI. They’re not just labels they add extra context right where you’re looking. Use them to show quick comparisons, trends, or a short breakdown. That keeps the page clean and avoids sending people to other visuals or pages. You can…
When working with Power BI, we often face situations where the default sorting (alphabetical or numerical) does not meet business needs. For example, you may want to display product categories in the order High → Medium → Low instead of the standard alphabetical sequence. To achieve this, Power BI allows us to create a custom…
In Power BI, relationships and cardinality are key concepts that enable you to create meaningful connections between tables in your data model. By understanding how to define relationships and their cardinality, you can unlock the full analytical potential of your data. This article provides an overview of relationships and cardinality in Power BI, explains their…
Dynamic Classification and Filtering in Power BI Context : Example Scenario : Pareto Chart & Principle : Step 1: Base Measure : Step 2: Product Ranking : Step 3: Cumulative Sales : Step 4: Percentage of Total : Step 5: Classification : Classification Filtering : Building the Pareto Plot : Colouring : Filtering : Outcome…
Analytics tools are the lifeblood of any data-driven organization that enables companies to collect, analyze, and interpret vast amounts of data, helping them make informed decisions and derive better business development. In this article, we’ll explore contrasts between the two most used BI tools in the market: Tableau vs Power BI and discuss how they…
RELATED() is one of the most-used DAX functions. You use RELATED() when you’re iterating a table and, within that row context, you need a value from a related table. Its companion, RELATEDTABLE(), goes the opposite way across the relationship. It’s easy to mix these up using RELATED() when it isn’t needed, or forgetting about RELATEDTABLE()….