Ready to test your Tableau skills and learn more about the supply chain? In this part of the course you will set the first exploratory steps and focus on the business challenges related to shipments. You will  then use the power of Tableau to visualize them!

Just in time

A Supply Chain expert already?

Preparing our data model

Visualizing the orders

Investigating the shipments

Show me the numbers!

Shipment delays over time

Drawing conclusions from the charts

Spotting last mile inefficiencies

Introducing the Case

Having studied the shipments, you will now use your data skills to unravel the inventory challenges. Using various calculations and visualization techniques will be key to generating powerful insights for our business.

Inventory challenges

The law of supply and demand

Checking the inventory levels

Avoiding costly overstock

How long to fulfill understock?

Visualizing supply and demand

Are we short on our stock?

Our inventory learnings so far?

Understanding our Inventory

All great data work only matters if it brings direct business value. It's time to gather your loose insights and visualizations together into cohesive, interactive dashboards and share them with your stakeholders.

Building interactive dashboards

The science of dashboarding

Setting up shipments dashboard

Managing inventory with a dashboard

Filters and actions

More actions

Storytelling

Case Study Process

Systematizing our analytical work

Congratulations!

Bringing It All Together

Metadata sheet

Workbooks and Datasources

Can't wait to test your Tableau skills on a real-world dataset focusing on supply chain? Then this case study is for you! You will help solve key challenges of shipment and inventory management, analyze supply chain inefficiencies and create insightful dashboards to inform business stakeholders about the potential problems and propose structural business improvements! You will use a wide range of Tableau skills: from calculations, through visualization, to dashboarding. Give it your best!


<h2>Use Tableau for Supply Chain Analysis</h2>
Test your Tableau skills on a real-world dataset focusing on supply chain analytics. In this case study, you will help solve key challenges of shipment and inventory management, analyze supply chain inefficiencies and create insightful dashboards to inform business stakeholders about the potential problems and propose structural business improvements.
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<h2>Create Tableau Dashboards to Show Your Findings</h2>
Throughout this case study, you will use a wide range of Tableau skills, including calculations, visualizations, to draw insights on the data. You will then bring your findings together to create interactive dashboards that demonstrate clear insights. 
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<h2>Gain Hands-On Tableau Experience</h2>
This analytics case study gives you the chance to demonstrate your abilities in varies areas of Tableau. By the time you’re finished, you’ll have worked through an entire practical example of how to use the tool in a supply chain setting. 


Data Visualization in Tableau

Dive into our Tableau case study on supply chain analytics. Tackle shipment, inventory management, and dashboard creation to drive business improvements.

Case Study: Supply Chain Analytics in Tableau

Dive into our Tableau case study on supply chain analytics. Tackle shipment, inventory management, and dashboard creation to drive business improvements.


Connect all relevant data sets into a data model in Tableau.

Correct data types and dimension/measure designation and hide unnecessary data fields (if any).

Explore and save your visualizations as worksheets, and create new calculated fields and parameters as you go along.

Go through your worksheets and identify the ones which can be combined into thematic dashboards. Build these dashboards.

Add interactivity to your dashboards and test them. Where needed, work with targeted dashboard actions to rule out confusing selections. 

Assemble dashboards and visualizations into data stories if required.

Systematizing our analytical work

Case Study: Supply Chain Analytics in Tableau

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