Thursday 27 April 2017

ERP analytics post go-live, what can we learn?

Recently a client of mine went live on 9.2.  Everything has gone swimmingly and I like to produce an infographic on the success of the project.  I’m able to farm various metrics to give a unique perspective on the go-live from a technical point of view.

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I put a good quality version here, https://drive.google.com/open?id=0B30UFGvbR-EjNmhRc2hsMzB1UG8

Once again, it all looks good until we look at the page load time, this has increased on average from .8 seconds to 1.2 seconds – this seems to indicate that we have some work to do with our web logic setup.  It’s interesting to point out that this was not an increase that was picked up by the user community.  This was not an issue that the project was looking at, but now they are.

ERP analytics has been able to show a real difference in the interactive performance, which will now be addressed and also this will be quantified with analysis of this data.

The following  shows more details that ERP analytics can give you, which shows that the majority of the additional time is in the server responding (3 times slower).  the network speed (page download time) is about the same.  The average page load time is higher, which means that the browser is taking the balance of the time to render the pages.  So – is JDE sending more complex pages to the browser in 9.2 as compared with 9.1?

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For this particular issue, we are going to focus on the web servers initially and try and get back some of the time there.

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