Category: Business Intelligence
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 […]
Key Points to Remember when using SumX and Sum Function
The SUMX function in Power BI is a row context function that evaluates an expression for each row in a table and then sums the results. It is commonly used in situations where you need to calculate values row by row and then aggregate those results.
Cost & Revenue Data Summarization Using CTE and Temp Table
CTEs & Temp Tables for Data Summarization: The article explains how to use Common Table Expressions (CTEs) and Temp Tables in SQL to summarize data, particularly for sales and cost reports. Step-by-Step Guide: It provides a detailed example of summarizing recipe data by month and year, including SQL code snippets. Benefits of CTEs and Temp […]
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 […]
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 […]
