Graph Crimes - Markus Borg
Technical debt is an established concept in the software industry. Developers know that “quick and dirty” will return and haunt you later. The interest is the extra effort you must dedicate to future development because of previous shortcuts. However, awareness of code issues rarely leads to action, and the debt is not paid off – typically because implementing new features gets higher priority. What if we could cast a light on the technical debt interest rates? In this talk, we will discuss the business impact of poor code quality. The findings originate from original research and our ongoing quest for evidence-based technical debt management. You will leave the session with a new perspective on the costs of technical debt – ready to motivate the next refactoring campaign!

A Hobbyist's Approach to Automated Highlight Detection in E-Sports  - Hampus Londögård
First published in 1954, it feels that How to lie with Statistics is more relevant in today’s data-powered world than ever before. With great power comes great responsibility, and we know there is a lot of power in data; data-visualization even more so. Darell Huffel’s evergreen book teaches us how data (and visualization of it) can control the narrative, for good or evil.

About Data Alliance
We believe that all views are equally important in our world, regardless if you’re a data engineer working your way through an obscure data model, a software engineer helping your fellow colleague understand the data generated from your application, or a product owner viewing product metrics. We therefore want to gather everyone into the Data Alliance to share their past and current struggles and/or solutions, no matter if they were successful or not. These experiences will spark illuminating discussions for everyone involved, especially the presenter.

Format:
Two presentations à 15-20 min and an open discussion with the audience after each one. There will be food and mingle after the talks.