Category Archives: Business Objects

BI maintains a flat organization and continuous growth for AME

At my previous employer (AME) we were interviewed by the Association for Dutch SAP users (VNSG). The interview was about the BI implementation we did at AME in 2010. The article in dutch can be found here. The rationale behind implementing BI was in my opinion very powerful, and the implementation was very efficient. Here are a few quotes from the article:

We want to use Business Intelligence as tool to ensure that all of our people work at their optimum productivity. By opening up the BI portal each individual employee should see their relevant personalized information. By instantly sharing (real time) information we’re creating high involvement of employees.

Because the organization goes through a learning curve in the new way of working the need for dynamic information arises. To bring more insight we wanted a solution that we can maintain and extend ourselves. In our technological roadmap SAP BusinessObjects was the right choice. Because of the tight timetable and the pursuit of standardization, we searched for a suitable partner, who could provide a solution for translating the SAP tables to a good data warehouse model. We came in contact with NewFrontiers, they had a ready-made solution for the extraction of data from SAP ERP.

Everyone at AME is now able, depending on his personalized portal, to see exactly how the business progresses and how the state of affairs as development, quality, logistics and costs are doing. The hardest part however is yet to come, technically it is now completely done, but organizationally is only starting now. The project must not get stuck at the IT department. It should be “self-evident” for everyone to take action based on BI.

The original article can be found here:

The solution from NewFrontiers is called NemisFs. At my new employer I continue to work with this product, so there will be more posts from me on this in the future.

How to create a pareto chart in BOBJ WebI

The purpose of the Pareto chart is to highlight the most important among a (typically large) set of factors. In quality control, it often represents the most common sources of defects, the highest occurring type of defect, or the most frequent reasons for customer complaints, and so on. Wilkinson (2006) devised an algorithm for producing statistically-based acceptance limits (similar to confidence intervals) for each bar in the Pareto chart. Continue reading