Kamal will share his experiences in entering new competitive markets & global best practices.

Hiring, salary adjustments, inflation, rate increases, crappy GA4 implementations - there's plenty for agencies to do, and worry about, in 2023. Let's look at some ways to survive and maybe even thrive in the new year - possibly with some guidance from the animal kingdom.

Fireside Simolation is a safe space for all participants to have a friendly discussion about all the things that bother, inspire, or preoccupy you in the digital analytics space.

As analysts, it can be easy for us to lose the forest from the trees. By focusing primarily on technology, or analytical methods, we can lose sight of our ultimate objective which is to satisfy the wants and needs of our customers.

Even though the resources are always limited it might be tempting to focus on collecting data the right way instead of collecting the right data.

Almost 5 years into GDPR enforcement, the courts and the supervisory authorities have peddled through quite some decisions and more are expected while this description is being written.

This session will cover a modern data stack approach that drives analytics, feature engineering, and dashboards across the enterprise. It will showcase real time streaming capabilities, data lakes, decentralized vs. centralized warehousing, and feature store architecture. The solution provides sub second latency to data and scales to billions of transactions a day.

As a digital analyst the core of our job is to translate what the data is saying about the business so we can use that knowledge to improve it. Pretty simple, awesomely valuable and radically focused on facts.

So you've got analytics working but you need to grow your data collection to other websites, other markets, other apps? In this presentation, Julien and the Media.Monks data team share best practices and solutions that were used (and often custom built!) to achieve at-scale deployment of data collection across thousands of websites and apps.

After a decade of digital marketing, I've decided to transition into digital analytics in 2022 because I wanted to work even more with data to solve complex problems.

Nowadays, the amount of data surrounding us is bigger than ever before. But does it improve our day-to-day decision-making? Have we learned to get value from accumulated data? The hard truth is that even analytically skilled people fail in their decision-making once it challenges their core beliefs. In my talk, I will share my favorite cases when people fail with data. Do you think it is not about you? Join my session and see for yourself!

In this talk, we will delve into the features and capabilities of Google Analytics 4's measurement protocol. We will discuss its strengths and limitations, and explore how the client-side protocol can be used to bypass some of these limitations. Finally, we will present a real-world use case for the client-side protocol and demonstrate its potential benefits.

Web bots have been around for decades, but the volume of bot traffic has increased massively. So has the complexity of bot filtering. While the bots have become way better, bot filtering solutions haven’t – especially in common analytics tools. Even IT security teams are usually not handling the problem properly.

I'll discuss why, and how data makes me tick. I've been doing work with data for decades but it's more exciting now than ever. Why do I get nerdy excitement from data? Because of my personal data, because data fuels change, because data is used for good. I'm immersed in data that has purpose on a daily basis.

Over the past 2 decades, Jim has watched the industry take on many different forms, maturing from the lawless wild west of the digital industry to an increasingly-regulated establishment. This departure from the lawless world of analytics has left some of us looking for new, exciting frontiers. Jim will share his perspective on where we might find it.

Matt will be your quiz master for a fun filled night of quizzical conundrums, bragging rights, and prizes.

A delightful way to gather and continue socializing: competitive team challenges and prizes that will give you a short break from analytical topics.

Demonstrate any Digital Analytics solutions or method of your own that is way beyond the defaults. Who decides who's gonna win? The audience. Send your nomination to [email protected]!

Some would say Google Ads is becoming more and more a self serving / learning channel able to do it all, almost all. Still, there are numerous data points and activation possibilities just ready and waiting on the business side of things. So this would be a story on which of these points can and should be used in our optimization efforts together with some useful examples and caveats using an ML SaaS platform even if not in the hands of a data scientist - or is it just too dangerous?