Benchmark Analysis
Benchmark analysis is a systematic process used to compare and evaluate an organization’s performance against industry standards, competitors, or best practices. The Benchmark Analysis chart visualizes these comparisons, enabling businesses to easily identify performance gaps and highlight areas of improvement.
For example, a retail company can compare its customer satisfaction scores with industry benchmarks to identify service areas that need enhancement.
By displaying performance against set or historical benchmarks, this chart provides a clear view of where an organization stands relative to its goals or peers.
Best Situations to Use
Use the Benchmark Analysis chart when you need to:
Performance Tracking: Compare actual performance against set or historical benchmarks (e.g., Sales vs. Target, Employee Productivity vs. Standards).
Financial Analysis: Evaluate budget vs. actual expenditures, profit margins against industry standards, or cost efficiency relative to competitors.
Operational Efficiency: Monitor production metrics against internal targets or industry benchmarks to uncover bottlenecks or inefficiencies.
Properties of the Benchmark Analysis Chart
General
Component Name: Assigns a unique identifier to the chart.
Left / Top: Position of the chart within the dashboard canvas.
Height / Width: Dimensions of the chart.
Initial Visibility: Toggle to show/hide the chart on first render.
Max Button: Enable to allow users to maximize the chart view.
Fill Colors: Configure fill colors for the benchmark boxes.
Access via the Fill Colors icon.
Supports separate lower/upper box colors.
Stroke Color: Set the outline/border color for chart elements.
Background
Gradient Rotation: Adjust angle of gradient background.
Opacity: Control background transparency.
Gradient: Define gradient type and direction.
Border: Enable and style chart borders.
Border Color / Radius: Customize border color and corner curvature.
Shadow / Shadow Color / Shadow Transparency: Add drop shadow with adjustable color and opacity.
Tooltip
Show Tool Tip: Toggle tooltips on hover.
Configuration:
Background Color
Opacity
Border Color
Font Size
Box Width
Precision (decimal places)
Title & Sub-Title
Show Title Box: Toggle visibility of title container.
Title Text: Configure font, size, color, style, weight, alignment, and decorations.
Title Bar Height: Adjust title bar height.
Description: Add descriptive text below title.
Dataset Description: Optionally auto-populate title from dataset mapping.
Sub-Title: Similar controls available (font, size, style, alignment, decoration).
Grid Styles
Grid Header Style:
Header Text Color, Font Size, Font Weight, Background Color.
Grid Row Style:
Row Font Color, Font Size, Font Weight.
Fit Columns: Auto-adjust column width.
Text Wrap: Enable wrapping for long values.
Axis Configuration
X-Axis
Show / Hide axis line.
Axis Line Color.
Label controls (color, size, style, weight, family, decoration, rotation, tilt).
Description text.
Category Tick Marks & Marker Colors.
Show Dataset Description.
Y-Axis
Similar settings as X-axis (line, labels, description, dataset description).
Legend
Show Legend: Toggle visibility.
Font Properties: Customize color, weight, size, family, style, and decoration.
Hide on Load: Optionally keep hidden until user expands.
Formatter
Unit: Define measurement units.
Precision: Number of decimals displayed.
Currency: Apply currency symbol formatting.
Position: Place currency/unit before or after values.
Number Formatter: Choose International or Indian numbering format.
Axis Setup
Auto Axis Setup: Adjust axis automatically from dataset.
Base Zero: Force axis to start at zero.
Min/Max Value: Manually define axis range.
Marker Lines: Add horizontal/vertical/zero reference lines.
Marker Colors: Customize line colors.
Opacity: Adjust transparency for markers/axis lines.
Export Options
Context Menu: Enable right-click export menu in preview.
Supported Formats: Excel (.xlsx), CSV (.csv), JPEG (.jpg), PNG (.png), PPTX (.pptx), PDF (.pdf).
Show Print: Print chart directly.
Export Heading/Subheading: Add custom metadata to exported files.
Export File Name: Define filename template.
Global Export Type: Choose default export format (Screenshot / Tabular).
Dataset Properties
When mapping data to a Benchmark Analysis chart:
Category: e.g., Gender column.
Subcategory: e.g., Grade column.
Benchmark Metrics: Map columns such as Min, Max, or Target to the corresponding fields in the chart.
Example
Sample data can be downloaded and mapped to configure the Benchmark Analysis chart. For instance:
Category: Gender
Subcategory: Grade
Metrics: Map Min → Min field, Max → Max field
This produces a visual benchmark comparison across categories.