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Merrill, Eric Louis: Hello, my name is Eric Merrill I help my clients create capacity capability and insights from their finance organizations by enabling them with predictive analytics in the financial planning space.

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Merrill, Eric Louis: I'm going to take you through the six key steps that we see in the blueprint for enabling predictive analytics for finance.

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Merrill, Eric Louis: The first step of the process starts with data. Integrating and automating data to establish a source of truth in a real foundation for predictive analytics is incredibly important and a crucial first step in the process.

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Merrill, Eric Louis: It's not an easy one. But it's worth the effort.

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Merrill, Eric Louis: The second step in the process is the application of predictive and learning analytics to that foundational data.

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Merrill, Eric Louis: That is a process of scripting and data science and really advanced analytics that many organizations may have in pieces and parts today.

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Merrill, Eric Louis: And we bring in a very concerted focused and structured effort to really unlock the value of those types of capabilities in the financial planning space.

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Merrill, Eric Louis: After we've had the opportunity to apply those advanced analytics, we need to integrate that with the human side of the equation human plus machine is a far greater contributor to success in insight.

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Merrill, Eric Louis: Than machine or human on their own. And so we focus on the user experience and the interface that the different

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Merrill, Eric Louis: Users and stakeholders of the solutions are going to have based on what questions are they trying to answer what decisions are they trying to make and what information do they need to support them in those endeavors.

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Merrill, Eric Louis: After crafting the user experience. We need to take the output of the advanced analytics and the views and analysis that the users are looking to complete

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Merrill, Eric Louis: And filter that into understanding risk sensing and levels of risk tolerance as well as enabling advanced scenario modeling.

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Merrill, Eric Louis: Most financial organizations are struggling under the burden of trying to get all the information together run all the analytics.

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Merrill, Eric Louis: And then run the different scenarios that don't always align neatly to finance routines and cadences

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Merrill, Eric Louis: And so our predictive analytics approach and platforms enable that real time scenario modeling that real time analysis by providing visibility into the true drivers of the organization's performance.

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Merrill, Eric Louis: And it's that real time performance insight enabled by the Oracle stack that really unlocks

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Merrill, Eric Louis: Not only the capacity for most finance organizations, but the capability to be a truly insightful business partner that is able to timely.

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Merrill, Eric Louis: Evaluate different decisions different trade offs and articulate the impact and implications of the various decisions and directions at the business may be going

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Merrill, Eric Louis: If you take these first five elements of the blueprint they yield the sixth which is accelerated decision making.

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Merrill, Eric Louis: Many organizations today are constrained by access to information, having the right information in the right person's hands at the right time or potentially dependencies on different routines and cadences that exist today.

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Merrill, Eric Louis: Our predictive analytics solutions and platform help you get beyond those constraints and really evaluate your decisions and trade offs at the time that you need them at the pace that the business wants to operate at and that the environment, frankly, requires

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Merrill, Eric Louis: To bring it all back together our perspective on the blueprint for enabling predictive analytics for financial planning is enabled by the Oracle stack and is one of the most effective ways to create capacity and capability as well as insight from your finance organization.

