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Welcome back! In Part I of this series, member mappings and the mapping process in FDMEE were explained. Now that a brief introduction has been given, we will go continue on identifying the reasoning behind having a large volume of maps.

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The most basic and vital use of FDMEE is its mapping functionality. Mapping is so integral to the application that without it users have no way of integrating or validating their data into HFM. This blog will serve as an introduction to a three-part series that covers what to consider when developing your mapping process.

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I am just wrapping up my first month at CheckPoint and what a month it has been. As much as things have changed it is amazing how similar certain activities can be between my role as Sr. Director of Product Management for Data Integration and my role as Practice Leader of Data and Governance for CheckPoint. One of the best aspects of my job has always been the customer interaction, and that has not changed at CheckPoint. There is nothing better than knowing you have truly helped your customer; whether this is talking with a Data Architect on the best technology for big data streaming or advising a CIO on how to achieve the next level of value out of their data infrastructure. During these first four weeks I have visited with in-person several CheckPoint customers, many are repeat customers too. Imagine that! I am happy to report that many of the implementations were well beyond the initial phases of the implementation with no issues. Commitments are solid – no over promising and under delivering here.

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When going through an enhancement, it is typical to find small undocumented errors or differences that have slipped through the cracks. One, in particular, relates to the mappings in FDMEE. The Oracle Administrator Guide for FDMEE 11.1.2.3.503 states that when ignoring member mappings the target value for a specific mapping must be entered as “IGNORE”.

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These days everyone is talking about ‘cloud’. It’s the hot buzzword in IT. Everyone is interested in going there, is already there or is never planning on attending that party. While it is an exciting time, it is also a time with a lot of confusion over terminology in the market. This seems like a good opportunity to talk about what cloud, SaaS, hosting and all of the various names and terminology mean. We’ll start with the basics and work our way forward from there.

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Rolling forecasts are considered a good practice for several reasons...

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In order to create a report for Hyperion Financial Management, Planning or EssBase you can use Smart View or Financial Reporting. Both products query the data source but often the question remains what is the difference between the two. Which should I use and when?

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Is your organization struggling to design effective Data Relationship Governance (DRG) Workflows? Is your data governance process documented? Do you have a clear understanding of how master data is currently created and updated in your downstream applications? Answering these questions is the key to designing effective Data Relationship Governance (DRG) workflows.

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Essbase partitioning for either BSO or ASO applications is an excellent tool which is often not thought of when it comes to implementing Hyperion Planning. However, it is a very powerful tool for data movement or sharing between applications, which is quick, flexible and easy to implement. But, first you must assess if Essbase partitioning is a fit for your application. Does your application meet the following two main criteria?

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The goal of Part 3 will be to demonstrate using the Oracle Database Job Scheduler to control execution of the trigger action script or workflow output.

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