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I was recently introduced to this blog and now that I have found other PCM practioners I would like to share some go-live information. After a few months with fun and interesting work we are about to go-live with a SAP PCM (v10) based ABC model at a global textile service company based in Finland. The solution offers profitability reporting per customer, per product, per laundry and per service area on a monthly basis. The solution also offers scenario simulations. To minimize manual input the PCM model is using data from the data warehouse. Reporting and analysis is done in PCM Web books and Business Objects BI. The latter is achieved by exporting profitability results calculated in PCM to the data warehouse.

Feels very rewarding to see that “power point slides” can be transformed to a value adding solution!

Regards

Muamet Eski

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    1. Eski Muamet Post author

      Some success factors:

       

      One very important success factor is to have a motivated and competent resource at the customer side that knows the business and does the work needed to be done at the customer side e.g. gathering needed information, doing validation work, promoting the solution internally, training internal users etc.

       

      A team with resources having competences covering areas such as project management, ABC methodology, SAP PCM, ETL and data warehousing is also an important success factor. Other important areas that need to be covered are the customers’ business and the customers’ data and data warehouse.

      Some challenges during the project:

       

      There is a lot of SAP PCM documentation and most of it is good but there are few examples and some advanced topics are not covered on a detailed level.

       

      Even if the characteristic of the topic (ABC modeling) allows different solutions to one specific challenge it is hard find best practice related information.

      The SAP PCM support is fast and helpful when it comes to product problems.

      DataBridge is easy to use but it has some limitations e.g. big data volumes and filtering flexibility.

       

      Rule based exports can result in huge exports with billions of rows. If so try to avoid it.

      The cost object value as an allocation key (activity driver value) makes the solution much more complicated. It can also result in poor calculation performance. Some requirements can be solved by reassignments on activity level.

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