DAX

In today’s blog, we’re diving into one of the most common business challenges—inventory management. Whether you run a big operation or a small shop, the headache of maintaining the right stock levels is something everyone faces. In this fictional tale, we’ll use made-up numbers and scenarios to explore how Better Buys Wholesale (an imaginary FMCG giant) solved their inventory issues. For structure, I’m leaning on ChatGPT for support, while my own experience fills in the rest! The Better Buys Inventory Dilemma Picture this: Better Buys Wholesale is swimming in SKUs—over 1,500 of them. Their inventory spans everything from daily necessities to seasonal favorites. Yet, they’re struggling to find the balance between too much stock and too little. Imagine running out of that trendy summer drink just when customers are desperate for it, only to have a mountain of unsold, slow-moving snacks taking up valuable space in the warehouse. Sound familiar? It’s the classic inventory nightmare: ...

In today’s fast-paced distribution sales environment, businesses must rely on data-driven insights to stay competitive. Sales data holds valuable information that can empower companies to make informed decisions, hit their targets, and anticipate future demand. But to unlock these insights, it's essential to understand and analyze key performance indicators (KPIs) such as Target Average Daily Sales (TADS), Average Daily Sales (ADS), shortfall analysis, Required Average Daily Sales (RADS), and sales projections. In this blog, we’ll explore how businesses can utilize these metrics using DAX (Data Analysis Expressions) in Power BI , turning raw sales data into actionable insights. We’ll dive into real-life scenarios with XYZ Distributors , a mid-sized consumer electronics distributor based in the USA. A Real-Life Example: XYZ Distributors Imagine XYZ Distributors , a company with a product line that includes smartphones, home appliances, and other electronics. They sup...

In the world of data analysis, especially in complex industries like distribution, building efficient dashboards can be a daunting task. I was recently asked to create a dashboard that tracks the performance hygiene of multiple distribution businesses. We called this dashboard "Rise of Discipline." The Challenge: Monitoring Performance Hygiene The key performance indicators (KPIs) we needed to track were quite comprehensive, including: Daily on-time presence of all employees at each distribution house. Daily Sales Target vs. Achievement (TGT vs ACH). Daily on-time (within Service Level Agreement - SLA) sales confirmation. Daily on-time deposit confirmation. Weekly petty expense entry (at least two times per week). Monthly budget vs. expense status. To complicate things further, we could only measure performance on weekdays. Holidays and weekends were excluded, but we still needed to track monthly targets on a month-to-date (MTD) basis, regardless o...