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Explore an interactive catalog of advanced Tableau visualizations. Showcasing expertise across the Salesforce data ecosystem.
Dashboard Technical Review: Startup Investment Analysis — The Quadrant
This Tableau dashboard operationalizes startup investment screening by plotting 2015 Revenue against 2015 Expenses across a dynamic four-quadrant scatter plot — segmenting the full startup population into clearly labeled performance tiers (High Revenue/Low Expenses being the obvious target quadrant) and immediately surfacing where capital efficiency breaks down. What elevates this beyond a static chart are three parameter-driven controls on the right panel: a Revenue Cutoff slider ($10.0M), an Expenses Cutoff slider ($6.0M), and a Top Growth Leaders selector (set to 30) — all of which dynamically reposition the quadrant boundary lines and re-classify data points in real time, allowing an analyst or executive to stress-test thresholds without touching the underlying data. The conditional color encoding — green circles for top growth performers, gold diamonds for standout outliers, and grayed-out marks for the broader population — creates an immediate visual hierarchy that guides the eye toward actionable targets. A synchronized reference table listing the Top 30 Startups by % of Growth (with bar-in-cell formatting and highlighted outliers) provides the companion drill-down layer that transforms a visual insight into a rankable, communicable finding. Together, these design choices demonstrate command of parameter interactivity, calculated field-driven visual segmentation, dual-encoding through shape and color to layer meaning without adding visual noise, synchronized cross-panel storytelling between the scatter plot and the ranked reference table, and the BI discipline of building dashboards that answer a decision question — not just display data.
Dashboard Technical Review: Bristel Bank Portfolio Segmentation Analysis
This Tableau dashboard delivers a multi-dimensional customer portfolio segmentation model for a retail banking context, enabling analysts and business stakeholders to dissect the customer base across four simultaneous dimensions — geographic distribution, account balance concentration, demographic profile, and occupational classification — within a single, coherent view. The centerpiece geographic layer renders a filled UK map with region-level customer counts and portfolio share percentages (England commanding 54% at 2,159 customers), establishing spatial context before the analytical detail unfolds to the right. Two parameter-driven controls — a Balance Range Parameter slider and an Age Group Parameter slider — allow users to dynamically rebin the Distribution by Balance histogram and the Distribution by Age histogram in real time, demonstrating sophisticated use of Tableau parameters to transform static frequency charts into adjustable segmentation lenses without requiring a filter action. The Distribution by Job Classification panel deploys a proportional bar-in-cell layout across three occupational tiers (White Collar at 48.70%, Blue Collar at 26.13%, Other at 25.16%), while the Distribution by Gender pie chart provides a clean binary split as a demographic anchor. Together, these design choices demonstrate command of spatial analytics through custom geographic layers, parameter-driven dynamic binning, multi-chart layout composition that maintains visual coherence across heterogeneous chart types, and the BI discipline of building dashboards that answer a portfolio question — not just display a customer list.
Dashboard Technical Review: Global Demographic Growth Correlations
This Tableau dashboard constructs an animated, multi-variable demographic correlation engine spanning 53 years of global data (1960–2013), simultaneously encoding Fertility Rate, Life Expectancy, and Population Growth across nearly every nation on earth within a single bubble chart canvas. The third variable — Population Growth — is encoded through bubble size, converting a two-axis scatter plot into a true three-dimensional data surface without requiring an additional chart, a technique that demands precise calculated field construction and mark-level size scaling to remain analytically legible at full population density. The temporal animation layer is the dashboard's most technically ambitious feature: a Year parameter with play/pause/stop controls and a "Show History" toggle that ghosts prior-year positions as trailing marks, transforming a static cross-sectional view into a longitudinal storytelling instrument that lets viewers observe demographic convergence and divergence as it unfolds across decades. Region-level color encoding across seven global classifications (Europe & Central Asia, Sub-Saharan Africa, East Asia & Pacific, and others) is reinforced by a dual filter panel — a checkbox-driven Region filter and a Country Name dropdown — enabling users to isolate specific geographies or trace individual country trajectories through time. Together, these design choices demonstrate command of animated parameter-driven temporal visualization, triple-variable encoding through position, size, and color, advanced interactivity through history trailing and playback controls, and the BI discipline of building dashboards that reveal structural patterns across time — not just report a moment in it.
Dashboard Technical Review: European Sales and Customer Profitability Analysis
This Tableau dashboard constructs a dual-panel sales and profitability intelligence surface for a European commercial portfolio, pairing a proportional symbol map with a customer-level profit scatter plot to simultaneously answer two distinct but related business questions — where is revenue concentrated geographically, and which customers are generating or destroying margin. The left panel deploys a Mapbox-backed geographic layer at the country and state/province level, using bubble size to encode sales volume directly onto the map canvas, allowing regional dominance (UK and Germany visibly commanding the largest marks) to be read spatially rather than through a table lookup. The right panel — Profit Margin by Country and Customer — plots Sales against Profit at the individual customer grain, with color intensity encoding profit magnitude and negative profit customers falling visibly below the zero axis, creating an immediate at-a-glance profitability risk surface without requiring a separate loss report. A Year of Order Date parameter with forward/back controls at the top of the dashboard drives both panels simultaneously, enabling year-over-year temporal comparison across the entire analytical surface in a single interaction. Together, these design choices demonstrate command of Mapbox custom geographic integration, proportional symbol mapping, dual-panel synchronized filtering through shared parameters, profit margin scatter construction at customer granularity, and the BI discipline of building dashboards that connect geographic revenue patterns to underlying customer-level profitability — closing the analytical loop between where money comes from and whether it is actually being made.
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