Estrada2023

Sales & Customer Analytics Dashboards

Transformed static reports into self-service analytics
Enabled real-time insights for faster decision-making
Empowered teams to identify trends proactively

🧩 The Challenge

Estrada's leadership team needed a comprehensive, interactive analytics solution to monitor sales performance and customer behavior across multiple dimensions.

The goal was to empower decision-makers with real-time insights into year-over-year trends, product performance, and customer engagement—without requiring them to dig through raw data.

🎯 The Solution

I designed and developed two dynamic Tableau dashboards — one focused on Sales Performance and the other on Customer Insights, tailored to the needs of both strategic and operational stakeholders.

📈 Sales Dashboard Highlights

  • KPI Overview: Delivered a clean summary of total sales, profit, and quantity sold for both the current and previous year.
  • Sales Trends: Visualized monthly performance with clear indicators for peak and low-performing months.
  • Product Subcategory Comparison: Enabled side-by-side analysis of sales and profit across product subcategories to identify top and underperforming segments.
  • Weekly Trends: Introduced a weekly breakdown of sales and profit with average benchmarks, highlighting anomalies to support tactical decision-making.

👥 Customer Dashboard Highlights

  • KPI Overview: Showcased total customers, average sales per customer, and order volume across two years.
  • Customer Trends: Illustrated monthly customer behavior patterns, emphasizing seasonal highs and lows.
  • Order Distribution: Built a histogram to segment customers by order frequency, revealing loyalty and engagement levels.
  • Top 10 Customers: Ranked high-value customers by profit, enriched with order count, sales, and last purchase date for targeted retention strategies.

🧠 Design & Interactivity Features

  • Year Selector: Users can toggle between years to analyze historical performance.
  • Cross-Dashboard Navigation: Seamless transitions between sales and customer views.
  • Interactive Filters: Enabled drill-down by product category, subcategory, region, state, and city.
  • Clickable Visuals: Empowered users to filter data directly from charts for intuitive exploration.

💡 Impact

These dashboards transformed how Estrada's teams interact with their data — shifting from static reports to self-service analytics.

Executives now make faster, data-driven decisions, while marketing and sales teams can proactively identify trends and opportunities.

The implementation resulted in:

  • Reduced reporting time by 70%
  • Increased data accessibility across all departments
  • Improved decision-making speed by providing instant insights
  • Enhanced collaboration between sales, marketing, and executive teams

🛠 Tools & Technologies

Primary Tool: Tableau Desktop & Tableau Server

Key Techniques:

  • Advanced calculated fields for YoY comparisons
  • Custom parameters for dynamic filtering
  • LOD expressions for complex aggregations
  • Dashboard actions for interactive cross-filtering
  • Custom color palettes for brand consistency

📊 Technical Approach

The dashboards were built with a focus on:

  1. Data Modeling: Structured data relationships to enable flexible analysis
  2. Performance Optimization: Efficient calculations and extract refresh schedules
  3. User Experience: Intuitive navigation and self-explanatory visualizations
  4. Mobile Responsiveness: Layouts optimized for viewing on various devices
  5. Scalability: Architecture supporting future data growth and additional metrics

Interested in similar work?

Let's discuss how I can help transform your data into actionable insights.