CASE STUDY Showerbuddy’s BathCheck app revolutionises the [...]
Summer is suddenly here and we are in December (and what a year it's been!). We get it – it’s hot, work is busy finalising things for the year, [...]
It’s been an interesting and eventful decade [...]
CASE STUDY Theta Technologies extends its InformationLeader offering [...]
A year ago during the peak of COVID-19 and while [...]
A new year has rolled around, we say goodbye to 2020 (finally) and hello 2021. Being in the IT industry it is definitely easy to let your health suffer with bad eating habits, with not enough time in the day to exercise. It’s why here at Dark Ice we love using our next-door neighbour Lite n’ Easy.
Following on from my last article, From idea to app store, this one looks at how to plan your next releases based on actual user data. Analytics are one of the most important tools you have when deciding how to progress your app from MVP to something polished and widely used.
When Apple and Google first started making apps available on the respective stores, there wasn’t much choice of how you wrote apps for them. For Apple iOS apps, you had to write apps using an unusual language called Objective-C, and for Android you had to use Java.