Oracle Autonomous Database, claimed to be the first autonomous data management of its kind in the cloud that delivers automated patching, upgrades, and tuning without human intervention seems to be gaining traction specially in the APAC region. This new autonomous database is self-driving, self-securing, and self-repairing.
It uses machine learning and automation to deploy, optimise patch and secure itself with no human intervention. As a result, users have proven that they are able to significantly improve and fasten decision making, improve customer experience, introduce new products/services quicker and create a smarter workforce.
“It is one of the most successful new product introductions in out 40-year’s history. We are seeing users across the globe realising the benefit of autonomous. Already, we have nearly 1,000 paying Autonomous Database customers and around 4,000 new Autonomous Database trials were added in the last quarter alone. There are some great examples of companies using it here in Asia to reduce costs and risk, automate core tasks so they can focus on innovation, and to empower all areas of the business from finance, to Marketing and HR to get maximum value and insight from their data,” said Steve Daheb, Senior VP, Oracle Cloud.
“Autonomous strategy can reshape the way IT works. It helps the technology to move from administration to innovation. It helps in increasing productivity, provide new ways to deliver apps and services. It also helps reducing the cost. The 80% time spent on admin can be taken off thus dynamically adjust the resources,” said Steve.
Quite a large number of businesses in Asia are deploying Autonomous Database for deeper and meaningful data insights. Eleven such organisations are showcasing the value of Autonomous Database at the Oracle OpenWorld that started in Singapore.
Forth Smart is one such company based in Thailand. Operating over 120,000 vending machines nationwide to give its customers the ability to do things like top-up mobiles and e-wallets and transfer money digitally, the business generates a lot of transactional data from around 2 million transactions every day. With Autonomous Data Warehouse (ADW), the company is able to generate real-time insight into its network of vending machines, whereas previously it would take many days. “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. With ADW we are able to provide relevant reports to various departments in time,” said Pawarit Ruengsuksilp, Business Development Analyst, Forth Smart, while describing the company’s strategy of adopting cloud computing.
National Pharmacies, that operates 51 pharmacies in South Australia, Victoria and New South Wales, and 20 Optical stores operating in South Australia is another company using Autonomous . Apart from 350,000 loyalty members and 600,000 non-loyalty members there are 80,000 customers using the company’s mobile app.
“We fulfil four million medical prescriptions alone each year, and that’s without other information regarding products, or even external factors such as weather. What having access to the power of autonomous database means is that we can give us real time insight, securely and at speed, and that’s transformative. Just by moving from an on-premise to ADW in cloud, the company saved 40%. From being totally blind not knowing what to do with data, we are now able to make informed decision” said Ryan Klose, Executive General Manager – Corporate, National Pharmacies.
Kingold Group China, established in the early 1990s, is a foreign-funded enterprise. Headquartered in Guangzhou, China, with core businesses in diversified areas, including real estate, finance, health, education, hospitality and media, it is dedicated to helping people create their ideal life.
“We didn’t have any cloud story about two years ago. To keep pace with the growing influence of digital transformation in China and globally, we started working with Oracle building both our cloud and data strategy at the same time. ADW helps us consolidate data from close to 100 SaaS systems across group. It has helped us in building a great data lake at a very reasonable cost,” said Steve Chang, CIO, Kingold.
In India Federal Bank is a major user of Oracle’s Autonomous Database. With over 1200 branches and 1600 ATMs across the country, the bank had multiple systems for monitoring branch details, network analysis, ATM availability etc. With Oracle Autonomous Data Warehouse Cloud, bundled with Oracle Analytics cloud service, the bank is able to gain a unified, single view of ATM availability, branch operations, and network availability.
In October last year, Gartner named Oracle leader in two database-focused reports and the company was ranked first in all four use cases of the 2018 Gartner “Critical Capabilities for Operational Database Management Systems.
Oracle’s self-driving Oracle Autonomous Database was highlighted in both reports for its ability to eliminate complexity, human error, and manual management to enable higher reliability, security, and more operational efficiency.