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Nice Apparel Company Limited

Keeping pace with activewear trends

Fast, lean, agile: Nice Apparel can react rapidly to changing market demands with real-time data analytics powered by SAP S/4HANA running on Lenovo ThinkSystem servers, powered by 4th Gen Intel® Xeon® Scalable processors, and protecting all the important data with Lenovo and Veeam solutions.

“Running SAP S/4HANA on the latest Lenovo ThinkSystem infrastructure and 4th Gen Intel® Xeon® Scalable processors means we benefit from lightning-fast query processing and real-time analytics."

Mr. Prapakorn Sitthichaikasem

Chief Digital Officer (CDO), Nice Apparel Company Limited

At-a-Glance

Customer: Nice Apparel Company Limited
Industry: Enginering and manufacturing
Product Family: Servers,Storage
Services: Deployment,Support
Region: Asia Pacific
Processor: Intel
Topic: Big Data and Analytics,Back-up and Recovery,Data Management,IT Transformation ,SAP,Workforce Transformation

Keeping pace with activewear trends

Customer Problem

Fashion trends move quickly, so activewear manufacturer Nice Apparel must react fast to changing market demands. To do this, the company needs accurate, real-time insights into business operations.

Lenovo Solution

Nice Apparel moved from SAP ERP to SAP S/4HANA, running on Lenovo ThinkSystem SR850 V3 servers—featuring 4th Gen Intel® Xeon® Scalable processors with built-in performance accelerators.

Business Impact

Lightning-fast query processing and real-time analytics enables users to pull reports and run analytics jobs faster than ever, empowering Nice Apparel to respond rapidly to emerging fashion trends.

“Activewear trends are constantly evolving. Real-time insight into business operations, enabled by SAP and Lenovo solutions, is helping us to keep pace with the latest trends and accelerate production of new styles for our clients.”

Mr. Prapakorn Sitthichaikasem, Chief Digital Officer (CDO), Nice Apparel Company Limited

Results

· 40% faster query processing and report generation
· 30% reduction in IT management time
· 20% lower IT operational costs

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