Optimization analytics involves the use of mathematical and computational techniques to identify the most effective solutions to complex decision-making problems. By analyzing data and modeling various scenarios, optimization analytics helps organizations enhance performance, reduce costs, and achieve desired outcomes efficiently.​ The framework for optimization is very disticnt from other methodologies and is used where an optimized values are to be obtained. Such as BPO of a business enterprise that want to decide on an opmitxal allocation of the assets or restructure their balance sheet or reallocate RAROC based capital. The optimization framework is also used in case of Power Plant valuation or Storage asset pricing. Methodologies used are SDP or SDDP Stochastic Dual Dynamic programming. Optimization models are data intensive and use high amounts of processing power to derive output that is stable. Key Components of Optimization Analytics: Objective Function Definition: Clearly specifying the goal to be optimized, such as maximizing profit or minimizing costs.​