TDWI Expert Panel: Real-Time Analytics: Use Cases and Architectures

Real-time analytics can deliver the fast insights and immediate responses that enable business success. When enterprises optimize their IT infrastructures to support end-to-end low latencies, they can deliver real-time data-driven insights into back-office operations, multichannel customer experiences, and strategic decisions at every level of the organization.

Every industry has mission-critical use cases that require real-time analytics. One of these principal applications is customer engagement optimization, which leverages real-time customer insights to deliver personalized experiences, product recommendations, and targeted offers in real time. Another is fraud detection, which uses real-time analytics to flag suspicious activities immediately and shut down fraudulent transactions before they can happen. Yet another is supply chain optimization, when enterprises leverage real-time analytics to predictively optimize manufacturing, inventories, shipping, and other activities to keep pace with demand and prevent possible disruptions.

In this expert panel in which they will discuss:

• What is the mission-critical value for real-time analytics in modern business and what are the top use cases?
• How do real-time analytics requirements vary by industry?
• How can organizations support real-time and batch processing side-by-side in their data analytics architectures?
• What are the principal uses of change data capture, stream processing, and in-memory data stores within a low-latency analytics architecture?
• How can real-time analytics support comprehensive observability over enterprise data pipelines?
• How can enterprise investments in real-time analytics platforms support development of generative AI and other advanced data-driven applications?
• What are the best practices for migrating an enterprise’s legacy batch data platforms, tools, and applications to a real-time, low-latency platform?

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