Kingold cuts costs by 44% with Oracle Exadata Cloud@Customer

Kingold enhances its digital transformation, protects customer data, and accelerates results with Oracle Exadata Cloud@Customer.
Partager:

I think data and cloud are the core to digital transformation and data security, data locality, and data sovereignty are the key issues. You look at Exadata Cloud@Customer and it’s such a smart innovation; it’s a hybrid platform and it’s behind our firewall.

Steven ChangCIO, Kingold

Business challenges

Kingold is a diversified conglomerate headquartered in Guangzhou, China with operations throughout China, Australia, and Europe. The company needed to accelerate its digital transformation and reduce costs using Oracle Cloud. When delivering services to their customers, they need to assure them all their really important information is safeguarded with the highest, best, and safest technologies.

When we are delivering services to our customers, we want to assure them that all their really important information is safeguarded with the highest, best, safest technologies in the good hands of Oracle.

Steven ChangCIO, Kingold

Why Kingold Chose Oracle

Kingold chose Oracle Exadata Cloud@Customer because it was able to accelerate key workloads, reduce costs, and safeguard customer data by ensuring that the information never leaves Kingold’s data center.

Results

Kingold lifted and shifted crucial database workloads from Microsfot Azure to Oracle Exadata Cloud@Customer in seven days. The company ended up reducing costs by 44% compared to using Azure.

Kingold also accelerated financial reporting workloads running on IBM systems to Exadata Cloud@Customer by up to 18X. Reports that took 720 seconds before completed in about 40 seconds.

Migrating to Oracle Exadata enabled Kingold’s IT organization to focus on innovative products instead of manual system management. Another advantage was the company’s ability to maintain the security of private customer data by keeping it in Kingold’s own data center while still benefiting from cloud automation and pay-per-use economics.

Publié:August 7, 2020