In today's data-driven business landscape, the ability to analyze information at multiple levels of granularity is essential. SAP Lumira, a leading data visualization and self-service analytics tool in the SAP ecosystem, offers robust support for data hierarchies. Understanding how to work with hierarchies in SAP Lumira can significantly enhance your ability to uncover insights, drill down into details, and create meaningful, multi-level visualizations.
A data hierarchy represents data organized into multiple levels, typically from a general overview down to detailed specifics. For example, a geographical hierarchy might progress from Country → State → City, or an organizational hierarchy might go from Company → Department → Team.
Hierarchies help users navigate complex datasets by allowing them to drill down or roll up through levels, offering both broad and granular perspectives.
In SAP Lumira, hierarchies enable:
Hierarchies can be created either in the source system (like SAP BW or SAP HANA) or within SAP Lumira itself.
Steps to create hierarchy in Lumira:
Once created, hierarchies can be used in charts like Tree Maps, Bar Charts, and Geo Maps to provide drill-down functionalities.
Example:
In Lumira, users can interact directly with visuals to drill down into the next hierarchy level or drill back up to the summary.
You can synchronize hierarchical filters across multiple charts on the same dashboard, ensuring a consistent drill-down experience.
Consider a retail company analyzing sales data. Using a hierarchy of Region → Store → Product Category → Product, managers can:
This layered insight allows for targeted business strategies, optimized inventory management, and focused marketing efforts.
Mastering data hierarchies in SAP Lumira unlocks powerful multi-level analytical capabilities essential for today's complex business environments. By enabling intuitive drill-down and roll-up navigation, hierarchies enhance user interaction and deepen insight discovery.
Whether leveraging built-in hierarchies from SAP BW or creating custom ones in Lumira, understanding how to efficiently work with data hierarchies will empower analysts and decision-makers to extract maximum value from their data landscapes.