Proud to be part of the M3 User Association conference for Infor M3(Movex) users event in Eindhoven on 12th October
What’s stopping your M3 upgrade?
Infor are continuing to invest heavily in M3 functionality as one of their flagship platforms. A fact which means that there will continue to be a stream, if not a torrent of enhancements, new features and of course some patches.
For some people this prospect will be exciting, but for many involved in the process of delivering these changes it might even be slightly depressing because it comes with the realisation that upgrades, enhancements and patches can take substantial effort and planning. This creates an undesirable latency as all groups consider the upcoming disruption, cost, time and effort associated with the project.
The largest part of this project will be validation and testing. The percentage of this effort against the overall project is likely to be between 40% and 70%, and may involve multiple cycles – a clear opportunity for some automation. The fact that most M3 users are still performing this manually, with only a few organisations having implemented solutions to deliver this time saving goal, indicates that there are real & perceived barriers to this ‘silver bullet’.
This presentation looks at these barriers and discusses what methods some organisations have used to overcome them. It will consider the process of implementing changes to M3 (and other applications), and how these can be adapted to achieve better adoption by the business with less effort and lower cost. It describes a proven and realistic way to navigate the journey from wholly manual effort to substantial automation combined with control, increased collaboration and visibility.
What’s stopping you…?
GDPR and the implications on systems testing
Testing needs data, in fact you could argue it is all about the data. If you have poor quality data testing will be either unsuccessful or of little value in risk elimination.
When it comes to User Acceptance Testing (UAT) in particular, users are not comfortable testing with data that does not look and feel real. Artificial data is just confusing and makes it hard to relate to the real world scenarios they are trying to prove. A classic cure for this is to use production data.
The new GDPR legislation affects any data held about an EU citizen. So if there are no people in your systems, you are ok – I suspect 99.99% of you are still listening. One of the key tenets of GDPR is consent, at consent at different levels depending on how the data is to be used, so you can happily use live data for testing if these persons agree to it (and that means you ask them first). You already have an obligation under existing data protection regulations to ensure that any data you hold about a person is accurate and this in reality prevents you from using it for testing unless your tests mirror production steps exactly.
This session looked at some of the ways to address this issue and other techniques which provide increased productivity in testing by managing test data.