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Interactive report

Smart Supply Chain

Order fulfillment, customer insights, product profitability, and shipping performance.

THE PROJECT / FOLLOW THE THREAD

A question. A process.
Work you can explore.

Follow the decisions behind the implementation, then inspect the original work.

01 / WHY THIS WORK EXISTS

The question behind the build.

Sales, fulfillment, shipping risk, and suspicious or cancelled orders need to be explored together to understand operational patterns.

ProjectSMART Supply Chain Insights Dashboard
Available evidence3 linked files · visual preview
ExplorePublic interactive report
02 / THE CHOICES & CONNECTIONS

Follow the implementation.

  1. 01

    Clean and explore the supplied transaction dataset with Python.

  2. 02

    Investigate distributions, sales and profit trends, and order-status patterns.

  3. 03

    Develop a star-schema model and relationships.

  4. 04

    Build Power BI views using DAX and interactive reporting.

PythonExcelPower BIPandasPlotlyDAX
Read the implementation notes
03 / OPEN THE WORK

See the work. Inspect the details.

Follow the repository from raw data and EDA to model design and report artifacts. It shows the analytical work behind an operations dashboard.

Order fulfillment · Screenshot from the repository. Select to enlarge.

Go beyond
the screenshot.

Load the public Power BI report to explore its pages and filters. The interactive view connects to Microsoft Power BI when you choose to load it.

If the embedded view is unavailable, open the report in Power BI . Published report availability is managed in Power BI.

Explore Power BI interactions Open the presentation View the original source
04 / THE WORK BEHIND THE CLAIM

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Search the linked source inventory or narrow it to the kind of artifact you want to inspect. Files open at their original source.

3 linked source files

DOCREADME.mdIPYNB3_Python_EDA/EDA.ipynbPBIXSMART_SupplyChain_Dashboard.pbix
Open the documentation Explore the repository
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