Part 4:The Data Workflow-From Raw to Ready

Introduction
Working with data is like cooking a meal there’s a process.You can’t serve raw ingredients and call it dinner.The same goes for analysis:you follow steps that turn raw information into something valuable.

🔄The 6-Step Data Workflow
(i)Collect – Gather your data from reliable sources.

(ii)Clean – Fix errors,remove duplicates,handle missing values.

(iii)Analyze – Find patterns, trends, and insights.

(iv)Visualize – Present your findings in charts and graphs.

(v)Tell the Story – Add context so people understand “what it means.”

(vi)Act – Use the insight to make a decision.

Why Follow the Process?
Skipping steps can lead to wrong conclusions.
Imagine acting on messy data your decision could be completely off.A workflow keeps your analysis accurate and trustworthy.

Try This Beginner Activity
Step 1:Pick one topic (e.g., your monthly expenses).

Step 2:Write how you’d collect, clean, and analyze the data.

Step 3:Sketch a simple diagram of the workflow and save it for reference.

Coming Next
In Part 5: Beginner-Friendly Data Tools,we’ll explore tools you can start using today no expensive software needed.

💬 Question for You:
Which step in the workflow do you think would be the hardest for you?