With the huge quantity of applications that are offered in stores, apps are competing not only to acquire users but also to keep them. Microsoft explores the key challenges and questions design and marketing teams need to have in mind to set up the right platform for a great customer engagement. This session will explore how to practically leverage push notifications and in-app messages to address the retention challenge with Azure Mobile Engagement. Speaker: Karl Piteira
Anyone who can type commands into R but that is not the same as actually 'doing' statistics for analytics. They may even misuse those methods, and it's an entirely different thing to really understand what's happening. Knowledge is what really drives each phase of your analysis, and create effective models for the business to use in order to create actionable insights. It can be difficult to see when someone is building faulty statistical models, especially when their intentions are good, and their results look pretty! Results are important, and it's down to you to create models that are sound and robust. In this session, we will look at modeling techniques in Analytics using R, using our boozy day at the Guinness factory as a backdrop to understanding why statistical learning is important for analytics today.
Fehlendes Verständnis über das Verhalten der Applikation und die Nutzung durch die Anwender im Produktiv-Betrieb ist ein verschenktes Potenzial. Durch Monitoring und Telemetrie können sie proaktiv auf Störungen reagieren und so die Auswirkungen für ihre Anwender möglichst gering halten. Das Wissen um das Anwenderverhalten ermöglicht es erst, fundierte Entscheidungen über die Weiterentwicklung der Software zu treffen.