Data Storytelling in Supply Chain Planning

In the past two posts, I spoke of:

• The importance of change management for technological implementations.
  

• Analytics/data storytelling solutions help with UAT technological implementations.
  

Most conversations in my feed are about advanced analytics or unleashing AI, which is excellent. But what does it mean for a planner or analyst to do their job?

Data Literacy vs Artificial Intelligence

When Chat GPT-4 was asked to make an educated guess on the number of occurrences of AI vs Data literacy in 2024, 

🤖 AI: 10,000 to 15,000

🔢 Data Literacy: 200 to 300

Either every employee in every company is data adept, or we are seeing skewed public perception caused by AI hype.

Data Literacy

Data literacy is "the ability to read, understand, analyze, and communicate data effectively, leveraging technical skills and critical thinking to derive meaningful insights and inform decision-making" (Infodesk/Tableau).

I want to address and solve this discrepancy, one small, actionable step at a time.

To become data experts, we all have to start somewhere. The first step is to focus on data collection, cleansing, and accessing.

Narrowing my intentions further, I plan to focus on data literacy for data-driven supply chain management. Every week, I will address one supply chain use case (maybe multiple weeks for one large use case) and show how to leverage data analytics to solve it.

The solution

1. Defining objectives
   

2. Data preparation (including metadata management/labelling)
   

3. Solutions
   

4. Communication
   

I will likely use Power BI or Excel to illustrate these solutions.

Stay tuned.