Here's a complete article on Automating Data Import and Refresh Processes in SAP Lumira for the SAP-Lumira subject within the SAP domain:
Subject: SAP-Lumira
Field: SAP
SAP Lumira is a powerful data visualization and business intelligence tool that allows users to create interactive dashboards and reports. While manual data loading is straightforward, automating the data import and refresh process can greatly enhance efficiency, especially in enterprise environments dealing with large and frequently updated datasets. This article explores various methods and best practices for automating these processes in SAP Lumira.
Automation in data handling within SAP Lumira brings several benefits:
SAP Lumira supports various data sources including:
Each data source type may offer different capabilities for automation, particularly around live connections and scheduling.
If you're using SAP Lumira Server (part of the BI Platform), you can schedule refresh tasks for published Lumira documents:
Note: This method requires integration with SAP BusinessObjects BI Platform.
For supported data sources like SAP HANA or SAP BW, you can use live data connections, which do not require scheduled refreshes:
However, live connections require careful planning of performance and data security.
SAP Lumira allows you to prepare and manipulate data using transformation scripts:
This is useful when dealing with semi-structured data that requires preprocessing.
For desktop users or non-server-based deployments:
Use external tools like Windows Task Scheduler or PowerShell scripts to:
Use ETL tools (e.g., SAP Data Services, Talend) to push updated data into Lumira-compatible formats.
This method is more manual but useful in standalone or lightweight environments.
Automating data import and refresh processes in SAP Lumira helps organizations maintain accurate, real-time dashboards while reducing manual effort. Depending on your deployment (desktop or server), different methods such as BI platform scheduling, live data connections, and external automation tools can be employed. By applying best practices and leveraging SAP’s ecosystem, you can significantly enhance your data visualization workflows.