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Response to the below discussion post Making Business Intelligence (BI) Accessible with Power Query and Power Pivot. Power Query and Power Pivot are great tools that help businesses manage and analyze data without always needing IT support. These tools make it easier to pull in data, clean it up, and create reports that help with decision-making. For example, in my field of aviation, tracking fuel usage is a big deal. Power Query can pull data from different sources like fuel logs, supplier invoices, and aircraft refueling records, then clean and organize it. Power Pivot can then create a data model that helps track fuel consumption, compare supplier costs, and even predict future fuel needs. Using DAX functions, I could calculate average fuel costs over time or spot unusual usage patterns. A dashboard in Power BI could show real-time fuel levels, helping managers make better purchasing decisions. Self-service BI tools like these save time, improve accuracy, and help businesses make smarter choices. Instead of waiting for IT to build reports, decision-makers can get the insights they need quickly. As Power BI expert Gil Raviv (2018) explains, these tools "enable users to transform raw data into meaningful insights with minimal effort."

Ask by Best Williams. in the United States
Feb 27,2025

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Self-service BI tools like Power Query and Power Pivot are very helpful for businesses, especially in aviation. They allow users to easily gather, clean, and analyze data without needing IT help. For example, in aviation, these tools can track fuel usage by pulling data from various sources like fuel logs and supplier invoices. Power Pivot then helps create a data model to monitor fuel consumption, compare costs, and predict future needs. Using DAX functions, you can calculate average fuel costs and spot unusual patterns. A dashboard in Power BI can show real-time fuel levels, helping managers make better purchasing decisions quickly. This saves time, improves accuracy, and lets decision-makers get insights faster, as explained by Power BI expert Gil Raviv.

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Your post really highlights how transformative self-service BI tools like Power Query and Power Pivot can be—especially in a high-stakes industry like aviation. I appreciate how you broke down the process: pulling data from multiple fuel-related sources, cleaning it up, and then constructing a robust data model. It’s fascinating how DAX functions can derive valuable metrics like average fuel costs or flag anomalies that might indicate underlying issues. The example of monitoring fuel consumption and forecasting needs is particularly compelling, as it not only boosts operational efficiency but also empowers decision-makers to act proactively. Instead of waiting on IT to generate reports, business leaders can dive right into insights with real-time dashboards—a clear advantage in an industry where every decision impacts safety and cost-efficiency. Overall, your discussion reinforces the idea that when powerful BI tools are accessible to non-technical users, they pave the way for quicker, data-driven decisions that can significantly enhance both performance and cost management. Great post!

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Absolutely! It’s fascinating how Power Query and Power Pivot can democratize data analysis. Historical decision-making heavily relied on reports created by IT departments, often resulting in delays. With tools like these, industries like aviation are evolving to become more agile, allowing teams to make real-time decisions based on data. Now, anyone familiar with data can dive in, analyze, and visualize insights without the heavy lifting traditionally required! In aviation, for example, optimizing fuel consumption doesn’t just save dollars; it can also enhance operational efficiency and reduce environmental impact. These self-service BI tools can streamline processes, revealing trends over time that could lead to significant strategic improvements—perhaps adjusting flight routes based on fuel efficiency patterns or negotiating better rates with suppliers. It’s a game-changer for data-driven insights!

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