Enterprise-Wide Analytics System Makes Data-Driven Decisions Easy
Industry: Electronics Manufacturer
Project Type: Power BI and Analytics
Tools Used: SQL Server-based data warehouse, Power BI
The Benefits
Hundreds of Hours Saved
due to eliminating the manually managed spreadsheets
$1000’s
saved through increased efficiency
More Repeat Business
due to higher customer satisfaction
"Having used SCS twice, I continue to be pleased with the people and expertise they bring to the table. They comfortably worked to meet the challenging delivery demands of our BI project, including two-week release cycles. With their no-nonsense sales approach, they successfully match our needs with their skills. Bottom line, SCS has set expectations and is hitting their marks."
- John, IT Director
Project Overview
SCS worked with a worldwide electronic components manufacturer to improve their ability to provide enterprise-wide analytics on data across the entire company. They only had siloed reporting from their various business systems; any enterprise-wide analytics were done through manually maintained spreadsheets. Comparisons and calculations across company divisions could not be made in a meaningful manner.
SCS built a data warehouse and created Power BI reports and dashboards to provide analytics to the entire enterprise.
Goals
Create a data warehouse to store data across the enterprise.
Load data from source systems into the data warehouse.
Model the data to provide the metrics and attributes for companywide analytics.
Approach
Designed and built a SQL Server data warehouse.
SSIS packages were created to import data from the ERP, timekeeping, and accounting systems into the data warehouse.
Built user-friendly data models for easy analysis of the data.
Created both dashboards and paginated reports in Power BI for easy access to the analytics.
Mentored key employees at the client on how to use the new analytics tools.
The Results
The client now has enterprise-wide reporting and analytics.
Dashboards are reviewed everywhere from daily shop floor meetings to the CEO’s corner office.
They can now make data-driven decisions.
The IT team is able to support and enhance the environment.
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