Adding More Values On SAP SCM By Implementing BI and Analytics

Today I want to share something about implementing BI and analytic in your SAP SCM, so you can have a better understanding of your own business and every aspect of cost control and also its operations.

When a company wants to implement SAP Business Intelligence (BI) capabilities such as supply chain analytic, then one thing for sure is the company should have a proper and valid master data management (MD). But Having a good master data management surely not an easy thing for most companies, because they either have problems with a quality data or even no data at all.



That’s why in order to get this right, there should be a data governance implementation in the company, they need to clarify the data ownership, the person who responsible for the data and will maintain it. If you remember the “GIGO” principle that says “Garbage In Garbage Out” then you would understand just how important this is to have a good master data management to create a good analytical data on the BI application.

When preparing data for BI you need to make sure that the data is not just accurate but also can produce report accurately, because you will be collecting data from a lot of different locations, from different business partners, so you need to ensure that the data is compliance with a healthy environment and not breaking any safety or standard operational procedure.

You can also using KPI (Key performance indicator) to help you with processing all the collected data and to make sure that the data is accurate and coming from the right place.

So if your organization is ready to implement BI and analytic then maybe you should consider of implementing SAP SCM 7.0 first and now you can also using Crystal Report as one of tools for reporting in BI, perhaps you already know just how powerful Crystal Reports to create a standard to a sophisticated reports so you can have a much wider integration.

so having BI and analytic in your SAP SCM application could be a good investment move to make. Creating a compelling ROI argument for making the financial investment in BI and analytic isn’t easy. But overall, doing nothing can be the biggest mistake, according to Manufacturing Insight’s Simon Ellis.

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