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BUSINESS CASE STUDY

Sales Performance &
Forecast Dashboard

Personal Power BI case study developed to simulate a sales performance analysis workflow. The project combines revenue, profit, conversion rate, geographic distribution, targets, forecasting and sales pipeline data in a single view designed to support performance monitoring and the identification of commercial priorities.

Domain Sales Analytics
Tool Power BI
Focus Forecasting
Sales Performance and Forecast Power BI dashboard preview

Executive Snapshot

The key numbers behind the analysis.

A summary of the main findings from the analyzed dataset: revenue and profit growth, a broadly stable conversion rate and forecast revenue above target.

Revenue 2020

51,88Mln

+52% vs 2019

Revenue shows significant growth compared to the previous year, confirming a positive sales performance trend.

Profit 2020

5,81Mln

+57% vs 2019

Profitability grows faster than revenue, highlighting an improvement in the economic quality of sales.

Conversion Rate

9,09%

+0,083% YoY

The conversion rate remains almost stable, highlighting an area to monitor in order to improve sales efficiency.

Forecast Revenue

58,10Mln

+19% vs Target

The revenue forecast exceeds the target, providing a useful basis to evaluate future performance and sales priorities.

Southwest

45%

revenue share

Geographic distribution highlights a dominant region in the revenue mix and supports targeted investment decisions.

Pipeline

93K

Lead stage

The sales funnel shows volumes across the different stages of the sales process, from lead generation to closing.

Dashboard Preview

A complete view of sales performance

The dashboard combines sales KPIs, revenue trends, geographic distribution, forecast, performance versus target, and sales pipeline into one decision-oriented view.

Click the dashboard to view it in full screen.

Context

Reading sales performance in an integrated way

Sales performance does not depend on a single indicator: to correctly interpret business trends, it is necessary to connect revenue, profit, conversion, geographic distribution, targets, and future forecasts into one analytical view.

Business Challenge

The critical issues to solve

The sales analysis required a clear reading of results, variances against targets, and improvement opportunities across the sales funnel.

Target misalignment

The need to compare actual results with revenue targets in order to identify variances and areas requiring attention.

Forecast uncertainty

Lack of an immediate view of future revenue forecasts and their alignment with business targets.

Pipeline complexity

The need to monitor sales opportunities across the sales process to understand conversion and drop-off between stages.

Analytical Approach

From operational data to decision-ready insight.

The project was developed through a structured analytical process: from defining sales KPIs to reading variances, forecasting results, and generating operational recommendations.

KPI Definition

Identification of the key metrics needed to monitor revenue, profit, conversion, and sales performance.

Revenue Profit Conversion

Trend Analysis

Year-over-year comparison and monthly revenue analysis to identify patterns, peaks, and performance declines.

YoY Trend Seasonality

Forecast & Target

Integrated reading of actual results, assigned targets, and forecast to evaluate distance from objectives.

Actual Forecast Target

Pipeline Insights

Sales funnel analysis to understand critical stages and support decisions on conversion and sales priorities.

Lead Proposal Closed Won

Solution Developed

A dashboard designed to turn data into sales actions.

The dashboard was designed to support sales decision-making through an integrated framework of KPIs, revenue analysis, forecast, and pipeline. The goal is to provide a clear reading of current and future performance, making it easier to monitor targets and identify business priorities.

  • Monitoring Revenue, Profit, and Conversion Rate
  • Revenue vs Target analysis and monthly variance tracking
  • Future revenue forecast with target comparison
  • Geographic distribution of sales performance
  • Average Order Value analysis by region
  • Sales pipeline and opportunity overview
  • Executive summary with priority actions
Performance Revenue Trend YTD chart from the Sales Performance dashboard
Forecast Monthly Revenue Forecast chart from the Sales Performance dashboard
Pipeline Sales Pipeline Overview chart from the Sales Performance dashboard

KPI Framework

Every key metric in the right context.

Dashboard indicators were organized into three analytical areas to connect economic performance, forecasting, and the sales process.

Area 01

Performance

Measures sales economic performance and the business’s ability to generate revenue and profit.

Revenue • Profit • Conversion • YoY

Area 02

Forecast & Target

Analyzes the relationship between actual results, assigned targets, and future revenue forecasts.

Actual • Forecast • Target • Variance

Area 03

Pipeline & Regions

Highlights geographic revenue distribution and opportunity behavior across the sales funnel.

Region Mix • AOV • Pipeline • Lead

Case study insights

From sales data to a decision-oriented view

The case study brings together YoY performance, profitability, conversion, forecasting, targets and sales pipeline data in an integrated view, making the main findings in the dataset and the areas requiring attention easier to identify.

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2020 revenue change vs 2019

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2020 profit change vs 2019

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Forecast vs Target

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Conversion Rate

Do you have sales data to turn into a decision-ready dashboard?

I design Power BI dashboards and data storytelling solutions that make KPIs, trends, forecasts, and insights immediately usable for business decisions.

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