In this presentation, Daniel will discuss ways to use Search data effectively and at scale. He’ll give an introduction on the data available today, and go on to talk about Search Console bulk data exports; from product decisions to best practices when exporting, analyzing and visualizing the data. Daniel will also talk about challenges (and tips) related to using data effectively.

We need to raise our standards, change our data measurement/collection mindsets and start challenging and asking more questions to people and vendors that defend and justify practices that are questionable:

Ever wonder if the way we make decisions – from your daily coffee choice to high-stake business strategies – is governed by rules and assumptions we seldom question? This talk isn’t just about questioning these hidden forces, but about giving them a left hook! We will wrestle with these underlying rules and assumptions at play across different domains of decision-making – bridging concepts like Wardley-mapping and insights from the Frankfurt School to uncover how risk, cost and regret shape our actions and outcomes. Understanding these principles will allow you to use and navigate our rapidly changing world and tech space – to reach a new level of problem-solving and imaginative thinking. So, are you ready to peek behind the curtain of your own decisions?

Often in analytics and data science we have the 'big table' mental picture of data where we are continuously trying to append and link new bits of data back to each customer. The issue is that using approaches that follow this model often don't really follow a privacy by default design - rather this is more of an identify by default approach.

The usage of GA4 and BigQuery real-time reports features can be quite challenging, especially in high-traffic volume websites and other demanding environments. For example, assuming that you find a viable solution for a specific project, it is crucial to determine in advance the projected BigQuery expenses, in order to avoid unpleasant surprises. Architecture, data management, limits and quotas on API Requests are also part of this complex equation. Matteo and Roberto will share some real-world solutions for GA4 and BigQuery real-time needs tested with several clients in different industries.

Leading an analytics team is a complex challenge, especially when it comes to acquiring and retaining the ideal digital analyst. Addressing this issue led Elena Nesi and Fosca on a research quest focused on talent retention strategies in the analytics realm - gathering valuable insights from colleagues, conducting team retrospectives and feedback surveys, and analyzing broader trends related to employee retention and departures. The goal? Understanding why individuals leave their roles and how teams can better retain valuable talent.

Those factors combined resulted in a slate of new opportunities and challenges for digital analytics vendors. What strategies did they apply? Is there a winner? And how will all of this shape their offerings in 2024?

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]!

Join David on an exciting journey into debugging complex analytical systems. With technology getting more advanced, debugging has become a key skill. This talk will teach you important methods to handle issues in areas like Single Page Applications, iframes, server-side tracking, web views. Perfect for anyone wanting to get better at solving tough tech problems.

The tracking landscape has changed a lot over the last years and will be facing new challenges with the deprecation of third party cookies also in Google Chrome. This presentation will set the scene from a legal and business perspective. Solutions will be shown how to react and act and what impact this will have on tracking.

• JENN KUNZ / 33Sticks - Kennesaw (GA), USA + KATRIN RIBANT / Ask-Y - New York (NY), USA + RICK DRONKERS / Data to Value - Randstad, Netherlands + JULIUS FEDOROVICIUS / Analytics Mania - Vilnius, Lithuania