Data Analysis for a German Metal Parts Manufacturer with $800M

Gnel Alaverdyan

0

Data Visualizer

Business Analyst

Data Analyst

Amazon DynamoDB

Microsoft Power BI

SQL

Customer

The Customer is a German metal parts manufacturer with $800 mln revenue.
Challenge
Struggling with demand fluctuations, the Customer wanted to prioritize the product categories. With this challenge in mind, the Customer needed a highly qualified BI team to perform a comprehensive data analysis. Additionally, the project was to be implemented quickly and with the minimal technology stack.
Business Intelligence Consulting
DataDesignCenter BI team analyzed the Customer’s Excel and flat files embracing the data for 2 years, created a pivot table and loaded the data into it. After that, the team cleaned the data and created analytical reports and charts with the data broken down according to the Customer’s needs.
The reports and charts demonstrated the following:
1.Revenue
2.Monthly revenue per product group
3.Income by customer group (permanent vs. one-time customers)
4.Total quantity of metal parts produced per month
Since the Customer wanted to involve the minimal technology stack, DataDesignCenter suggested using Microsoft Excel and Microsoft Excel PowerPivot only.
Results
Thanks to the delivered data analysis, the Customer was able to decide on focus categories, and consequently streamline the business. The other Customer’s requirements were also met: the project was delivered quickly and with the use of Microsoft Excel and Microsoft Excel PowerPivot only.
Technologies and Tools
Microsoft SQL Server, Microsoft Analysis Services, Microsoft Power BI, Microsoft SQL Server Integration Service.
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Data analysis that DataDesignCenter provided to a German metal parts manufacturer allowed the latter to decide on their business priorities.

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Tags

Data Visualizer

Business Analyst

Data Analyst

Amazon DynamoDB

Microsoft Power BI

SQL

Gnel Alaverdyan

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