Data Analytics is the discipline of extracting actionable insights by structuring, processing, analysing and visualising data using methods and software tools.
For example, a retail company may use data analytics to analyse sales data and identify trends, helping them optimise inventory and pricing strategies.
Operational Analytics not only uses data and analytics to improve day-to-day operations within an organisation, leading to more efficient processes, but finds the best solutions for the business.
For instance, a manufacturing company may use operational analytics to find the optimal production strategy, monitors production lines and detect anomalies, reducing changeovers and improving product's profit & quality.
Business Analytics combines data analysis and statistical techniques to help businesses make data-driven decisions and gain a competitive advantage.
For example, an e-commerce company may use business analytics to analyse customer data and create personalised product recommendations, increasing sales and customer satisfaction.