A decomposition tree is a visualization tool used in data analysis and business intelligence to help break down complex data sets into more manageable parts. This tool allows users to explore the components of their data by branching out from a total aggregate into finer, detailed segments, serving as an effective alternative to a pivot table.
For example, imagine you're analyzing company revenue. A decomposition tree can start with total revenue and then break it down by region, product line, or customer segments. As you select different branches, the tree expands to reveal further subdivisions, offering insights into which factors are contributing most to revenue changes or anomalies.
Decomposition trees are particularly useful because they provide a dynamic way to explore data hierarchies and drill down into specifics, letting you uncover patterns and relationships that might not be apparent from more static data visualizations. This adaptability makes them invaluable for root cause analysis and ad hoc exploration, enhancing decision-making processes where understanding the layers of data is crucial.
To see examples of decomposition trees in action, check out these demo apps, available for live online viewing or for download as QVFs for your environment:
The only quick way to build a decomposition tree in Qlik Sense is by using the Decomposition Tree Extension from AnyChart, Qlik's Technology Partner. This extension is available for free download and includes a 30-day free trial. Download it here and easily extend your trial with just a few clicks if needed.
For a step-by-step guide on integrating this tool into your dashboards, check out this quick video tutorial:
To delve into the details of setup and customization, see the documentation.
For more information, to request new features, discuss licensing, seek assistance, or anything else, feel free to schedule a meeting.