Author: datascientist_m5t5qq

Business Intelligence SQL

Transforming Operational Data into Powerful Business Intelligence Insight

In our last video https://youtu.be/yib2II91jz0, we explored the process of converting data from a manual flat-file system to a fully developed data model. If you missed it, the link is in the description below—be sure to check it out! Today, we’re taking things a step further. After implementing a fully automated system, we’ll showcase how […]

datascientist_m5t5qq 
Business Intelligence

From Excel to Microsoft Access: The Journey from Flat File to Data Modeling

S&B Textiles, a garments manufacturing company with in-house Knitting, Dyeing, and Garments manufacturing units, was acquired by new management while operating at a loss. Dyeing, the most critical and cost-intensive unit, consumed large amounts of electricity, gas, dyes, and chemicals, accounting for a significant portion of production costs. In particular, dyes and chemicals, which have […]

datascientist_m5t5qq 
DAX Power BI

RankX Function Power BI (DAX)

By using the RankX function in Power BI, you can create dynamic, rank-based insights into your data, helping you better understand performance across different categories like products, regions, or time periods. Whether you’re analyzing sales, profits, or any other metric, the RankX function is a powerful tool to make your reports more insightful and actionable. […]

datascientist_m5t5qq 
Business Intelligence

Textile Business Intelligence Project

Business Case Study: Transforming S&B Textiles with Business Intelligence (BI) S&B Textiles, a garments manufacturing company with in-house Knitting, Dyeing, and Garments manufacturing units, was acquired by new management while operating at a loss. Dyeing, the most critical and cost-intensive unit, consumed large amounts of electricity, gas, dyes, and chemicals, accounting for a significant portion […]

datascientist_m5t5qq