David Huffman, Solution Engineer at Oracle, explained to users how Oracle Autonomous Data Warehouse and Oracle Analytics Cloud can provide organizations and analysts with insights into accurate, comprehensive data.

For the airline industry, flight delays are a serious problem. This problem ultimately cripples customer satisfaction and retention, wreaks havoc on schedules, and reduces revenue. What if airlines could move past expensive, time-consuming, legacy IT approaches? This could help them harness their data to better analyze, understand, and mitigate flight delays. Oracle Autonomous Data Warehouse can help them do exactly that.

Data Intensity decided to utilize the Oracle Autonomous Data Warehouse Cloud to solve a problem that they were facing around financial reporting. Before the decision to use Oracle Autonomous Data Warehouse Cloud, Data Intensity’s finance team was spending roughly 60 percent of its time just getting the data out of systems. Therefore, only the remaining 40 percent of the time was spent generating value back to the business.

Oracle introduced the autonomous database in the Oracle Cloud this past March of 2018. It is set up for data warehouse-type workloads and not yet for heavy transactional systems or even hybrid-type applications. As a Database Administrator (DBA), we know that most of our applications have hybrid to heavy transaction workloads, and of course a few data lakes or warehouses. Well, good news — on August 7, 2018, Oracle announced and made immediately available Oracle 18c autonomous database in the Oracle Cloud for transaction processing.