I Passed the DP-600 Fabric Analytics Engineer Exam — Here’s My Honest Study Plan (With What I’d Skip)
Author(s): Sheth Priyanka Originally published on Towards AI. Six weeks, two failed practice runs, one embarrassingly wrong assumption about what the exam actually tests, and the exact study approach that finally got me there. No sponsored course recommendations. No affiliate links. Just …
We Gave ChatGPT Our Raw Sales Data and Asked It to Build a Dashboard. A Senior Analyst Reviewed the Results.
Author(s): Gulab Chand Tejwani Originally published on Towards AI. We uploaded 14 months of real client sales data — 127,000 transactions, 8 product categories, 12 regions — to ChatGPT and asked it to build a complete analytics dashboard. Then I sat down …
Part 4: Data Manipulation in Data Cleaning
Author(s): Raj kumar Originally published on Towards AI. There is an assumption many teams carry without fully examining it. Data cleaning feels responsible.It feels corrective.It feels like a necessary step to improve data quality before analysis or machine learning begins. But data …
I Analyzed 5,000 DAX Measures. Here Are The 5 Patterns That Kill Performance.
Author(s): Gulab Chand Tejwani Originally published on Towards AI. 18 seconds for one measure. The dashboard was unusable. I analyzed 5,247 DAX measures to find what kills performance. 78% had these 5 patterns. Fix one, get 14x faster. He clicks “Refresh” on …
We Replaced 47 Excel Files With One Power BI Model. Here’s What Actually Happened.
Author(s): Gulab Chand Tejwani Originally published on Towards AI. 15 hours every Monday copying data. Daily errors. Zero trust in the numbers. Here’s what actually happened when we migrated from Excel chaos to Power BI. Monday, 6:23 AM. My phone buzzed. We …
I Analyzed 1 Million Prompts — And Here Are The Findings — Industry Version
Author(s): Alara W Originally published on Towards AI. What 90 days of data revealed about why some industries thrive with AI tools while others struggle — and how to position your project for success. The question that started this research Three months …
From Questions to Insights: Data Analysis with LangChain’s Built-In Tools
Author(s): Vahe Sahakyan Originally published on Towards AI. In the first two articles of this series, we established why tools are essential for agentic systems and how those tools are constructed and orchestrated inside agents. What we deliberately avoided until now is …
Customer Segmentation and Retention Strategy using Transactional Data
Author(s): Samith Chimminiyan Originally published on Towards AI. So what is it? You will be definelty heard of the term Churn Prediction. Photo by Blake Wisz on Unsplash Churn prediction uses data analysis and machine learning to identify customers likely to stop …
DAX Measure Library Architecture: From Messy to Maintainable
Author(s): Gulab Chand Tejwani Originally published on Towards AI. How we stopped wasting $93,600 per year searching for measures we’d already built The Slack message appeared at 2:37 PM on a Tuesday. DAX Measure Library ArchitectureThe article discusses the author’s struggle to …
Why Your Power BI Report is Slow: A 10-Minute Performance Audit
Author(s): Gulab Chand Tejwani Originally published on Towards AI. The diagnostic framework that helped me fix a 43-second dashboard in 30 minutes — and saved my job The email came at 9:47 PM on a Thursday. Why Your Power BI Report is …
How I Automated Sales KPI Reporting with n8n and Cut 99% of Manual Work
Author(s): Apoorvavenkata Originally published on Towards AI. Every sales organization depends on understanding which distributors perform best and which items drive the most volume. Yet in many analytics teams, this information remains trapped in spreadsheets, requiring manual cleanup, complex formulas, pivot tables, …
How a Single DAX Measure Saved Our Client $2.3M in Inventory Costs
Author(s): Gulab Chand Tejwani Originally published on Towards AI. The hidden cost of “almost accurate” data — and the Power BI solution that changed everything It was 11 PM on a Tuesday when my phone rang. The VP of Operations at a …
The Rise of Composable Data Teams
Author(s): Tobi Beck Originally published on Towards AI. Post 6 of the series “Reinventing the Data Team in the Age of AI” About this series: AI is fundamentally reshaping what it means to work in data. From empowering analysts to build pipelines …
K-Means Clustering — What Every Data Scientist Should Know
Author(s): Aamir Raja Originally published on Towards AI. Discussing and simplifying intricacies of K-means clustering for machine learning. Photo by Igor Omilaev on Unsplash K-means clustering. What exactly is this? It’s an extremely useful machine learning model that creates clusters in order …
Performance Optimization in NumPy (Speed Matters!)
Author(s): NIBEDITA (NS) Originally published on Towards AI. Hey guys! Welcome back to our NumPy for DS & DA series. This is going to be the 9th article of this series. In our previous article, we discussed Generating Random Numbers with NumPy. …
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