Published on 14 May 2013
“ Nissha selected the IBM Systems solution for SAP HANA based on the proven quality of the IBM offerings. It is important not to over-complicate new technology, and we felt that the IBM solution offered simplicity of design combined with reliability and stability that would lead us to value quickly. ”
Yoshitami Aoyama, Chief Information Officer, Nissha Printing Co Ltd
Nissha Printing Co Ltd of Kyoto, Japan, focuses on innovation as its key differentiator. Originally established as a printing company, Nissha has diversified into advanced industrial materials, decorative films and touch panels. In 2012, Nissha achieved sales of more than ¥80 billion ($830 million), nearly 60 percent of which were generated outside Japan.
To help fine-tune its customer service, Nissha Printing wanted to better track its performance by looking at the cost estimates and comparing them with the actual results. Reporting systems were unable to deliver the level of detail that managers required, which included analysis by product, service, customer, region and more.
Nissha selected the SAP HANA appliance, and implemented the IBM Systems solution for SAP HANA, based on IBM System x 3950 X5 workload optimized servers, featuring intelligent Intel Xeon E7-8870 processors.
Financial summary reports that previously took 340 seconds now take less than two seconds, an improvement of more than 99 percent. Nissha has reduced the number of data cubes needed from 103 to 56, a reduction of approximately 45 percent. Cut pre-written queries from 700 to 250, a reduction of almost 65 percent. Overnight batch processing times have been cut from seven to two hours daily, a reduction of 71 percent. Accelerated reporting significantly improves operational efficiency, and summaries are based on real-time data rather than historic aggregates.
IBM products and services that were used in this case study.
General Parallel File System
System x, System x: System x3950 X5
Technical Computing, Data Warehouse, General Parallel File System (GPFS), High Availability, Information Integration, Workload Management
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