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Author's profile photo Rukhshaan Omar

Top 10 most viewed HANA use cases

Since the launch of the HANA use case repository there have been over 62000 views to date. Below are the top 10 most viewed HANA use cases

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Which use case did you find most inspiring or educational and why?

You could either rate the content in the repository or alternatively add your comment to this blog + link to the use case ( easier for others to follow the converstation)

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      Author's profile photo Subhankar Pattanayak
      Subhankar Pattanayak
      Author's profile photo John Baxter
      John Baxter

      Ruks, thank you for your insights on the HANA Use Cases.

      Here are my thoughts on three valuable SAP HANA Use Cases

      (1)   Life Sciences – MKI

      MKI analyzes genomes for cancer research and treatment. By building an information value chain that uses…

      (1)   SAP HANA

      (2)   R, open source programming language and software environment for statistical computing, and

      (3)   Hadoop for preprocessing DNA sequences

      …MKI found a way to shorten the genome analysis time from several days down to only 20 minutes. This means

      patient care based on genome results can happen in a single doctor visit.

      Video at Genomic DNA Analysis using SAP HANA

      Further information at

      (2)   Retail – Nongfu Spring

      Excellent example of using HANA for real time supply network simulation and demand planning. Nongfu Spring reduced the time to run its transportation plan from 2 days to 200 seconds with SAP HANA. This improved on-time delivery and reduced transportation cost 35%.

      Video at Nongfu Spring SAP HANA video

      Further information at Nongfu Spring Profile

      (3)   Telecommunications – T-Mobile

      As a major wireless phone service provider, T-Mobile uses SAP HANA to understand, message, and market to its customers more effectively across millions of daily interactions. Their marketing department can get faster visibility on the uptake of promotional offers to:

      •Analyze and discern adoption patterns and trends

      •Detect any offer uptake or rejection rate discrepancy across sales channels, geography or customer segment

      •Rapidly refine the pricing and content of individual offers or swiftly adjust their channel enablement strategy.

      Video at T-Mobile HANA Use Case Video