protivitiAfter a 4 month hiatus from the monthly release schedule for SAP Lumira and SAP Predictive Analysis, SAP released version 1.0.12 of Lumira on October 2, 2013. This Lumira update contains mostly look-and-feel changes and very few functionality updates. This release introduces a new logo and icon for SAP Lumira:
As well as a new welcome screen and source selection pane:
Visualizations
To show some side-by-side comparisons, I’ve re-created several of the graphs from my recent baseball statistics post under version 1.0.12.
Figure 1: Line chart version 1.0.11
Figure 2: Line chart version 1.0.12
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About Hillary Bliss
Hillary Bliss is the Analytics Practice Lead at Decision First Technologies, and specializes in data warehouse design, ETL development, statistical analysis, and predictive modeling. She works with clients and vendors to integrate business analysis and predictive modeling solutions into the organizational data warehouse and business intelligence environments based on their specific operational and strategic business needs. She has a master’s degree in statistics and an MBA from Georgia Tech.
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Reblogged this on All Things BOBJ BI Blog and commented:
SAP Lumira – What’s new by Hillary Bliss, Decision First Analytics practice lead.
[…] easy to use self-service is a more important need. When we look at self-service BI tools such as SAP Lumira and SAP BusinessObjects Explorer, I find a user interface that allows the user to easily visualize […]
Hi Hillary – I am working for a CGJ company and am having a debate on wether an anaylical data store is seperate and needed from our traditional BI BW.
Thoughts?
In my experience, I often see analytical environments develop organically, where the initial extracts being ad hoc (but often using the same core data warehouse environment as BI), but over time analytical extracts that are pulled repeatedly can be “productionalized”, perhaps as a BI cube/view/mart. I think analytical and BI data should share the same core source if at all possible, but are often at different levels of granularity and/or detail than traditional BI data.
Thanks Hillary!