Spreadsheet Analysis Workflow: From Clean Data to Insights

This is Stage 3 of the spreadsheet learning path. After clean data and correct formulas, analysis is where you turn rows into decisions.

Stage 1: Prepare Analysis-Ready Data

Before using pivots or charts, confirm:

• One row represents one record
• No merged cells in data range
• Headers are clear and unique
• No blank rows inside active data
• Date column is consistent (for time-based grouping)

If this is not true, fix data first in your Clean_Data sheet.

Stage 2: Build a Pivot Table Baseline

Create one baseline pivot from Clean_Data.

Recommended baseline setup:

• Rows: category, product, or team
• Columns: month or week
• Values: sum of revenue, count of orders, average score
• Filters: region, channel, owner

Start simple, then duplicate pivot versions for each business question.

Stage 3: Define Summary Metrics

Pick a short metric set to avoid dashboard noise.

Suggested core metrics:

• Total revenue
• Total transactions
• Average order value
• Conversion rate
• On-time completion rate

Use one Summary sheet that references pivots and formula outputs.

Stage 4: Add Trend and Variance Checks

Analysis gets stronger when you compare over time.

Useful checks:

• Month-over-month change
• Week-over-week change
• Actual vs target variance
• Top increase and top decline categories

Example pattern:

=(Current_Period - Previous_Period) / Previous_Period

Format as percentage and define red/green thresholds.

Stage 5: Highlight Insights with Conditional Rules

Use conditional formatting only for decisions, not decoration.

Best uses:

• Highlight bottom 10% performance
• Flag negative margin rows
• Mark delayed tasks over threshold
• Signal missing required values

Keep color rules consistent across sheets.

Stage 6: Validate Before Sharing

Run this quick review:

1. Pivot totals match source totals
2. Filters are reset or documented
3. Date range is correct for the report period
4. Variance formulas are consistent in all rows
5. Outliers are explained with notes

Recommended Analysis Workflow

1. Clean in Clean_Data
2. Aggregate with pivots in Analysis
3. Compute KPI logic in Summary
4. Validate totals and variance
5. Publish only decision-ready views

This workflow keeps analysis auditable and easy to maintain.

Next Stage

Continue to Stage 4: dashboard design and sharing workflow with collaboration controls.