What is Operational Analytics?

Operational analytics refers to the process of analyzing data generated by business operations in real-time or near real-time to improve decision-making, efficiency, and performance. It focuses on extracting actionable insights from operational systems to optimize workflows, identify bottlenecks, and enhance productivity.

Key Characteristics:

• Real-time or near real-time analysis: Unlike traditional analytics, operational analytics emphasizes immediate insights.
• Data from operational systems: Uses data from ERP, CRM, IoT devices, or other business applications.
• Actionable insights: Aims to drive immediate decisions rather than long-term strategies.

Example:
A logistics company uses operational analytics to monitor delivery routes in real-time. By analyzing GPS data, traffic patterns, and weather conditions, it can dynamically reroute trucks to avoid delays, reducing fuel costs and improving delivery times.

In the cloud industry, Tencent Cloud offers services like Tencent Cloud Real-Time Compute (Oceanus) for stream processing and Tencent Cloud Data Lake Analytics to analyze operational data at scale, enabling businesses to implement operational analytics efficiently.