In Fast-Moving Asian Markets, Businesses Get An Edge From Autonomous Database paid Oracle
to test machine learning techniques in hopes of improving the company’s procurement strategy and product mix. “With 800,000 people a day served, all our businesses need replenishment. The analytics in Autonomous Data Warehouse can help us get more predictive about our ordering,” Mah said. “And we can see where there are business crossover opportunities we hadn’t thought of.
Nowhere is this more apparent than in Asia, where ambitious, fast-growing businesses are looking to the autonomous database to “drive innovation while helping to reduce both cost as well as risk,” said Oracle Senior Vice President Steve Daheb, who led the panel discussion with Mah and the other business leaders.
Unleashing this analytical capacity—in terms of both people and computing resources—is one of the key advantages companies are seeing from the autonomous database. “Instead of spending time tuning and provisioning your database, you can focus on ways to grow your business,” Oracle’s Daheb said. “It allows businesses to see signals and predict outcomes and look at data in a new way.”
“With Autonomous Data Warehouse, a financial analysis report that used to take 12 minutes to complete now takes just 41 seconds,” said Chang. But that’s just a start, he says. Kingold has also cut a typical data warehouse project from 3 to 6 months to a few weeks, and then can deliver insights right away with Oracle Analytics Cloud.“We’ve now moved way beyond our business user’s expectations and their accustomed business cycles.
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