“Operational analytics is a category of business analytics that uses advanced analytics techniques and tools to analyze real-time or near-real-time data from various operational systems, with the goal of improving operational efficiency and making data-driven decisions in the moment.”
Operational analytics can be used for:
- Customer support
- Dynamic pricing
- Predictive maintenance
- Personalization
- Automation
By monitoring KPIs in real-time, organizations can quickly identify deviations or irregularities in performance and take proactive corrective actions.
This means more efficiency and less dollars wasted.
However, operational analytics goes beyond traditional business intelligence by focusing on immediate and actionable insights. It leverages technologies such as data visualization, machine learning, and predictive modeling to analyze data from operational systems. By analyzing data as it is generated, organizations can make informed decisions, detect anomalies, and respond quickly to changing conditions.