Fusion5 are trying to give JDE customers the right information and allow them to react quickly to the changing landscape around them.
And here are a couple of screen shots.
This shows that I initially drilled down on system code to see all of the 31 UBEs, I then chose a single UBE and then a single version.
I wanted to look at the daily average since Nov1 - and there we have it. A graphical summary. You can see that performance is pretty consistent. The below graph represents the rows processed and time taken, which have a symbiotic relationship.
IF you want to run this as a 1 off with all your UBE history, we can arrange that very quickly. If you'd like us to carve off your data and keep JDE quick, we can assist you with that too!
As promised the dashboard is getting better, now you can see there is a 3rd and 4th page (3 is the best one I think) that allows you to see (in a timeline) the checking activity from oracle. Basically this is graphing the date time stamps of the last touch of an object as it's nicely packed into an ESU!
For the nerds, the date is actually UPMJ from F9861. This is a date that does not change on delivery of the object from Oracle.
Imagine if you could look at this data, see all your objects that are actually used (both batch and interactive) and therefore know the impact of being code current - easy, that is what ERP Insights can do for you!
We know all of the apps and reports you run (let's be honest, DSTR, TBLE, BSVW & BSFN changes are easy to manage). You can then look down the list of objects that have changed since the last time you took patches - you can see how many you are using and very quickly understand the impact of being code current.
IF you are an ERP Insights customer, then we can add additional columns for "how many times run in the last month for UBE's and applications).
My next level blogging (tongue in cheek) has embedded an iframe.
Let me know how you go using it and if you'd like any additional features.
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As you can see from the above, you get the serials and everything from the labels. You can easily turn this into indexed data and search on it, as well as audit-able data.
I take this to the next level with another example: box counting
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With a quick bit of excel, I find that there is 28 instances of the word free... So I can assume that there is about 28 boxes. This is a trivial example. But imagine a single high quality image of a warehouse shelf, if it was properly faced - the ability to stocktake with a single image could be amazing.
You can see that we have stood up the ability to extract ANY data from an image (I've shown some simple examples, but we can train specific models to look for quality issues or interpret images as you need) and record that data immediately into JD Edwards. ALL you need is the camera (we partner with meraki if you need some help) and we can do all the rest... Extract the data from the image and get that into JD Edwards (or any system).