Operational Database use cases

You can use the Cloudera Operational Database service in online transaction processing (OLTP) use cases and other low-latency and high-throughput application use cases.

Customer 360

• Address the far-reaching effects of the shift in consumer expectations by enabling a holistic view of your business and your customers, from all products, systems, devices, and interaction channels
• Deliver a consistent, personalized, context specific, and relevant experience
• Build churn prediction models to identify at-risk customers and proactively target them with retention programs

Content Depot

• Ensure that all users can access data because of high concurrency and low latency
• Build data-based applications that distribute custom, easy-to-digest information across your organization

Time-series

Include real-time data and analysis into decision points across your organization

Customer-facing applications

• Enable serving analytics on mobile and web applications directly to end-customers
• Use as a key-value store for applications

Operationalize model scoring and serving

• Build and score models on operational data for prevention, optimization, prescription, and prediction
• Increase conversion rate of cross-sell and upsell opportunities
• Predict credit-worthiness and lifetime customer value

Fraud and threat management

Perform fraud model serving and detection

IoT - Operation and monetization

• Leverage IoT to evolve or change your business model and operations for greater efficiencies
• Provide an up-to-the-minute picture of the status of the fleet through real-time monitoring, alerting, and diagnosis
• Deliver economic value by enabling new business models
• Increase conversion rate of cross-sell and upsell opportunities

Operational excellence

• Achieve operational excellence by reducing the total cost if ownership (TCO), improving efficiency, and eliminating threats
• Decrease network downtime using predictive maintenance enabled by active collection and monitoring of network data
• Optimize equipment performance and costs using real-time IoT analytics