INSIA provides powerful comparison analytics that allow users to analyze how a metric performs across different time periods. Users can compare absolute values, value changes, and percentage changes across daily, weekly, monthly, quarterly, and yearly frequencies.
These comparisons help answer key business questions such as:
Is performance improving or declining?
How does current performance compare to the previous period?
Is growth consistent across weeks, months, or quarters?
Are changes seasonal or structural?
INSIA simplifies this process by automatically generating the right comparison options and chart recommendations based on the selected metric and time frequency.
Types of Comparisons Supported in INSIA
INSIA supports comparison analytics across five major categories. Each category is designed to serve a specific business analysis need.
Absolute Values & Percentage Change
What this comparison shows
This comparison displays:
The actual value of the selected metric
The percentage change compared to a previous period
This helps users understand both scale and growth in a single view.
When to use
Tracking revenue, sales, or order value trends
Monitoring KPI performance over time
Identifying fast-growing or declining periods
Supported time frequencies
Comparison Type | Supported Frequencies |
Absolute Values & % Change | Daily, Weekly, Fortnightly, Monthly, Quarterly, Yearly |
Month-over-Month (MoM) | Daily, Weekly, Monthly |
Quarter-over-Quarter (QoQ) | Daily, Weekly, Monthly |
Year-over-Year (YoY) | Daily, Weekly, Fortnightly, Monthly, Quarterly |
Example use case
A sales manager wants to see monthly revenue along with growth percentage to understand whether higher sales are driven by volume growth or seasonal spikes.
Change in Metric (Absolute Change)
What this comparison shows
This comparison highlights the absolute difference between the current period and the previous period.
Instead of percentages, it focuses on actual increase or decrease in value.
When to use
Measuring exact sales increase or drop
Tracking operational KPIs like production output or service tickets
Understanding impact in real numbers
Supported time frequencies
Change Type | Supported Frequencies |
Change in Metric | Daily, Weekly, Fortnightly, Monthly, Quarterly, Yearly |
Week-over-Week (WoW) | Daily, Weekly |
Month-over-Month (MoM) | Daily, Weekly, Monthly |
Quarter-over-Quarter (QoQ) | Daily, Weekly, Monthly |
Year-over-Year (YoY) | Daily, Weekly, Monthly, Quarterly, Fortnightly |
Example use case
A supply chain analyst tracks weekly inventory change to see how much stock increased or reduced compared to the previous week.
Percentage Change
What this comparison shows
This comparison focuses purely on the rate of change, making it easier to compare growth across entities of different sizes.
When to use
Comparing growth rates across regions or products
Identifying high-growth or declining segments
Normalizing performance across different scales
Supported time frequencies
Percentage Change Type | Supported Frequencies |
% Change in Metric | Daily, Weekly, Monthly, Quarterly, Yearly, Fortnightly |
WoW % Change | Daily, Weekly |
MoM % Change | Daily, Weekly |
QoQ % Change | Daily, Weekly |
YoY % Change | Daily, Weekly, Monthly, Quarterly, Fortnightly |
Example use case
A marketing team compares percentage growth in leads across regions to identify high-performing markets.
Current vs Previous Period Comparisons
What this comparison shows
These are quick, predefined comparisons that allow users to instantly compare the current period with the immediately relevant previous period.
Supported comparisons
Comparison |
Current Week vs Previous Week |
Current Month vs Previous Month |
Current Month vs Previous Year Same Month |
Current Quarter vs Previous Quarter |
Current Quarter vs Previous Year Same Quarter |
Current Year vs Previous Year |
Example use case
A leadership team reviews current quarter performance vs last quarter during monthly business reviews.
Like-to-Like Comparisons
What this comparison shows
Like-to-like comparisons ensure fair evaluation by comparing equivalent time periods, accounting for seasonality and business cycles.
Supported comparisons
Like-to-Like Comparison |
Current Year vs Previous Year |
Current Quarter vs Previous Quarter |
Current Quarter vs Previous Year Same Quarter |
Current Month vs Previous Month |
Current Month vs Previous Year Same Month |
Current Month vs Previous Quarter Same Month |
Current Week vs Previous Week |
Single Dimension Charts
What this chart shows
Single Dimension Charts help users analyze one metric across a single dimension to clearly understand trends, patterns, and directional movement. This view keeps the analysis focused, making it easier to spot changes without unnecessary complexity.
Supported configurations
Single Dimension Chart
Metric across one time-based, categorical, or organizational dimension
Examples of supported analysis:
Metric over time
Metric by category
Metric by region or hierarchy
Key capabilities
Search-driven creation using KPI and one dimension
AI-recommended chart types based on analysis intent
One-click unit standardization across the entire chart
Interactive sorting and data limiting without reconfiguration
Full visual customization including axes, grid lines, and colors