Suresh Sellaiah

Recent Posts

Data Integration with SAP IBP using SAP CPI-DS

Posted by Suresh Sellaiah on 13-Nov-2018 12:21:19

I have recently worked on an SAP Integrated Business Planning (IBP) project focusing on implementing an efficient Demand and Supply Planning process (with supporting S&OP layer), where there were many transactional interface requirements between SAP ECC and IBP. In this blog I will explain how powerful the SAP Cloud Platform Integration for Data Services (CPI-DS) tool is in integrating master data and transaction data from SAP ECC to SAP IBP and in passing the planning results back from SAP IBP to SAP ECC.

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Topics: SAP IBP, CPI-DS, Integration Services, Integrated Business Planning

Statistical Forecast Errors

Posted by Suresh Sellaiah on 14-Sep-2017 08:07:28

Forecast Accuracy defines how accurate the forecast works against the actual sales and is usually defined in percentage terms as;

Forecast Accuracy = 1 – Forecast Error

Forecast Error determines the deviation between the forecast and the actual demand/sales.

As Evan Esar’s saying goes "An economist is an expert who will know tomorrow why the things he predicted yesterday didn't happen today".

So, to be able to react quickly, it is very important to understand why this deviation has occurred. As there are various Error Measures available in software tools such as SAP APO or SAP IBP, it is vital to understand which error measure is applicable under what circumstances.

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Topics: SAP APO, Statistical Forecasing, Demand Planning, Forecast Error

SAP Integrated Business Planning - Outlier Detection and Correction

Posted by Suresh Sellaiah on 22-Dec-2016 08:09:16

As SAP continue to enrich the functionality of Integrated Business Planning (IBP), in this blog I am going to describe the outlier detection and correction methods offered within IBP for demand (as at release 1608). I will not however be discussing which of these methods are the best, as from my experience I have found that the rules and methods vary depending on the organization’s perspectives and processes followed.

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Topics: IBP, IBP for demand