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By Michael Hickins—May 14, 2019
An increasing number of businesses are turning to Oracle Autonomous Database - the industry’s first self-driving, self-securing, self-repairing database—to gain deeper and more meaningful data insight, faster than ever before. The result has been freeing employees to do more value-added work—in large part thanks to deeper, faster insights into data than has been possible beforehand.
According to Hwee-Xian Tan, Senior Analyst, SoHo and SME Research, “Asia-Pacific enterprises [are] opening up to and having a sharper appetite for database-as-a-service (DBaaS) propositions with AI and ML features being particularly strong drivers for enterprise migration to cloud-based database environments. This is due to the cost reductions they deliver, and their ability to derive new business insights at speed. This has the potential to shift the global cloud arms race amongst hyperscale cloud players towards those that have a strong play in controlling enterprise databases—most of which still reside in a legacy client-server infrastructure.”
Among the Asian companies using Oracle Autonomous Database are China Eastern, Fadada, Bitmain and Kingold from China, Vodafone Fiji, Hong Kong Maxim’s Group, National Pharmacies and Applied Precision Medicine from Australia, Forth Smart, and Rangsit University from Thailand.
Forth Smart, which operates more than 120,000 vending machines that customers use to do things like top-up their mobile phones and e-wallets and transfer money to friends and family, generates around 2 million transactions per day. Pawarit Ruengsuksilp, business development analyst at Forth Smart, said it can now generate real-time insight into its network of vending machines, which previously would have taken three or four days. “Oracle Autonomous Data Warehouse has been a complete game-changer for us,” he said. “This has had a significant impact across our financial reporting, ability to undertake complex segmentation and predictive analytics, allowing us to focus more of our efforts on innovation.”
Hong Kong Maxim’s Group operates more than 1,300 outlets encompassing 70+ brands in the fast-paced food industry in the Hong Kong and Macau regions, as well as in Mainland China and South East Asia. All that activity today results in more than 600,000 transaction records per day in Hong Kong alone, notes Louis Mah, the company’s director of Information Technology.
Hong Kong Maxim’s Group is using a mix of Autonomous Data Warehouse and Oracle Analytics Cloud, along with detail from its ERP systems, to extract extremely timely and valuable information regarding consumer habits and behavior. This allows the company to “rapidly adapt to changes in how our different restaurants are performing,” said Louis Mah, Director, Information Technology.
Kingold, the diversified Chinese company, is using Autonomous Data Warehouse and Oracle Analytics Cloud to streamline how it collects and analyzes information, allowing it to “completely transform the way we operate,” according to its CIO, Steven Chang.
No wonder Oracle Autonomous Database has become the most successful new product introduction in Oracle’s 40-year history. According to Steve Daheb, senior vice president, Oracle Cloud, “Today we are seeing users across the globe realizing the benefit of autonomous.”