Too many people approach BI with a transaction-mindset. While having a focused approach is important, it is equally imperative to recognize that all goals can not be just short-term focused. Approaching BI with such a balanced view will lead to better utilization, delivering better results, yielding higher ROI over an extended interval. This ultimately leads to enhanced competitiveness for an organization.
Given Metric, digs into your data and find the best outcome indicators.
Various different M/L Algorithms are applied (Regression, Naïve Bayes, SVM, K-Means, etc).
They answer the question, how? How to make it happen? How to do it? Unlike typical predictive analytics, which highlight possibilities, prescriptive analytics - give you an execution plan, which details:
Various M/L algorithms are applied here. These include: Regression, Naïve Bayes, SVM, K-Means, etc) to determine the best execution plan to achieve results.
Example: Execution plan focusing on tasks to be assigned for re-purposing low performers.