Business analytics is the process of transforming data into insights that help in making better business decisions. Analytical tools such as data management, data visualization, predictive modeling, data mining, forecasting, simulation, and optimization are key to Business Analytics. It also makes use of statistical, quantitative, and operational analysis, besides data visualizations to present findings. Thus, a business analyst has to balance technical skills with strong communication skills.
Core Areas of Business Analytics Include:
- Identifying new patterns and relationships with data mining;
- Using quantitative and statistical analysis to design business models;
- Conducting A/B and multi-variable testing based on findings;
- Forecasting future business needs, performance, and industry trends with predictive modeling;
- Communicating findings in easy-to-digest reports to colleagues, management, and customers.
Earlier tools like database management and analysis techniques are no longer adequate to process unstructured data such as product reviews and social media posts. Business analytics addresses the new methods for organizing, drawing insights from, and making predictions based on the steadily increasing amount of information and frequently incorporates computer science and other technical knowledge.