Connect
Organise the analysis around executive business questions.
↗← ALL WORKSales tell half
INDEPENDENT PROJECT / TABLEAU / GITHUB / 04
Sales tell half
the story.
Six Tableau views of profit, discounting, customers, markets and seasonality.
EXPLORE THE STORY ↓06interactive dashboards
Four years of reported analysis coverage.
01
THE BUSINESS PROBLEM
Where does strong sales performance hide weak profit?
Give decision-makers a connected view of where value is created, concentrated or lost.
OPEN FULL SIZE ↗02From question
WHAT I DID
From question
to useful work.
Investigate
Explore losses, discounts and customer concentration.
↗Present
Link market contribution and seasonality in six Tableau views.
↗03Six connected views.
THE RESULTS
Six connected views.
One broader picture.
The deliverable helps readers investigate profitability beyond the sales total. Discount–loss patterns remain associations.
Executive view
Performance at a glance.
Loss sources
Where profit falls away.
Discounts
The relationship with losses.
Customers
Value and concentration.
State P&L
Geographic contribution.
Seasonality
Exposure across the year.
THE BUSINESS TAKEAWAY
Review discount and loss patterns in context before changing commercial policy.
↗THE EVIDENCE / GO DEEPER
LET’S DISCUSS YOUR PROJECT ↗Methods, context & full project notes ＋
The business questions
Where do strong sales mask poor profitability? How do discount patterns relate to losses? Which customers and markets contribute value, and how concentrated is demand in Q4?
The analytical story
The repository presents an executive overview, loss-source analysis, discount investigation, customer concentration, state-level P&L, and seasonality views. Together they show why revenue alone is an incomplete measure of performance.
How to interpret the findings
Discount and loss patterns are associations in the analysed sample, not proof that a discount guarantees a loss. The case study links to the dashboard PDF and repository so the analysis can be reviewed in context.
Source: public GitHub repository README and dashboard artifact. Self-initiated analysis of Sample Superstore data; no client relationship implied.
Melbourne housing ↗
YOUR NEXT MOVE