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Gartner, Forrester, Dresner Advisory Services, … have recenty spoken to GeoAnalytics (also known as Location Intelligence) and location data becoming critical requirements when delivering a full and consistent Business Intelligence strategy.

#GeoAnalytics is becoming one of the new buzzwords in BI. And we see different definitions, meanings and applications of GeoAnalytics across verticals. This is why there are expected functionalities that need to be there, and ready-to-use, in order to make sure to get the best insights out of location data.

Here is a short list of some of the core features.

See geodata relative to your business

While a VP of Marketing might want to see the ROI of his/her last campaigns by administrative regions, a CTO working in a telco company may want to see performance and down-time on the networks he/she manages. Being able to blend any KPI on the geographical levels relevant to a given business is truly crucial to any Business Intelligence strategy.

Leverage custom geohierarchies

Each business has different needs. Being able to see turnover per country is as interesting as displaying each sale one by one at the street level. This is why hierarchies exist, and if they can be represented spatially, it becomes a core feature to drill-down and drill-up through all the levels with ease.

See spatially the evolution of business over time

Being able to see evolution of turnover, customer attrition, market growth, online sales, … over hours/days/weeks/months/years will ensure one will make the right actions to improve its business. Incorporating temporal data combined with location data will help uncover trends in different regions, markets…

Empower the storytelling and make actions easier to make

Business Intelligence markets are heading towards self-service and storytelling, meaning that any user shall be guided through the process of creating insights based on data they can access, to avoid painful data preparation, and configuration. This also applies to GeoAnalytics, but of course one should still be able to adjust the visualizations to its needs. Applying conditional formatting, or customizing colors, based on a KPI related to a specific process are good examples that will let the user tell the stories he/she wants.

All the examples and videos above are powered by Galigeo, an SAP Solution Extension and SAP Partner for more than 10 years, leader in consistent GeoAnalytics solutions across all SAP BI BusinessObjects portoflio.
Discover more about Galigeo solutions for SAP BI: Galigeo Website for SAP BI

Do not hesitate to leave a comment if you are interested to know more about GeoAnalytics in SAP BI, or contact me by MP on the SAP Community Network.
Drop us a message on Twitter with #galigeo !

twitter.com/galigeo

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Cheers,
Vincent

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