We know that advanced analytic solutions, like optimization, can have a transformational impact on the quality of the decisions that organizations make across the customer lifecycle – from pricing to collections. However, we also know that the work and investment required to operationalize those analytics is not insignificant. So, the central question becomes how can you forecast the potential impact of more sophisticated decision strategies before you build them? In this presentation we’ll review how your organization can compare and analyze multiple possible scenarios using simulation and forecasting and empower your team to prioritize the development and operationalization of more sophisticated analytic solutions and decisioning strategies.
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