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Turn static visuals into interactive views, using drill-down paths and branching paths to help users explore hierarchies and uncover insights step by step.
When to Use Decomposition Tree?
- Ideal for investigating how a key metric is influenced by different drivers
- Useful for drilling down data step by step (e.g., Region → Country → City → Store)
Our Use Case: Analyzing Sales Performance by Category and Sub-category
We started with total sales and drilled down by product category and sub-category to identify the highest and lowest contributors.
The Decomposition Tree reveals:
- The hierarchy of impact that is, what’s driving the top-level metric
Limitations of Traditional Bar Charts for this use case:
- Shows totals, but not the underlying hierarchy
- Limited to one level of comparison at a time
Why Decomposition Tree Wins Here:
- Reveals the why behind the what—with depth and structure
- Let the user interactively explore without overwhelming the layout
- Ideal for root cause analysis and decision-making scenarios
At Perceptive Analytics our mission is “to enable businesses to unlock value in data.” For over 20 years, we’ve partnered with more than 100 clients—from Fortune 500 companies to mid-sized firms—to solve complex data analytics challenges. Our services include Advanced Analytics, Generative AI, and Business Intelligence (Tableau, Power BI and Looker) turning data into strategic insight. We would love to talk to you. Do reach out to us.
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