We will discuss why AB Testing, and analytics more generally, always involves uncertainty. We will then briefly discuss the causal inference problem, and how AB Tests are one of the main ways to help solve these problems. In the course of the talk we will briefly touch on types of reasoning, the importance of assignment, and the logic of p-values.

How does an analyst help out or better say collaborate on client accounts making them more efficient? What kind of deliverable is expected and how it is utilized and later on automated so that it benefits the entire organization?

The pace of change in the analytics sector increased dramatically since 2012 with tons of new tools, paving the way to the birth of the Modern Data Stack. The rapid explosion of tools is met with a rapid explosion of restrictions, challenging the status quo of data collection, processing and storage. How does that reflect on Analytics and its future?

In the last years working on an analytics implementation has become more and more complicated with lots of new frontend technologies and platforms that makes things harder to be checked.

In this talk Kris Ewald, data analytics veteran will review the current status on analytics data vs blockchain data - pro et contra for each techstack, followup on the discussion from the fireside chat on data ownership and control, and how to turn data into quantifiable (value) objects.

Quality, speed, and velocity are all things we would like to have around decision making. One of the big value propositions of analytics is support for decision making, automating decision making, and making decision making easier. Yet somehow in practice it is rare to find this happening in and around businesses today. In this talk we are going to dive into decisions in depth, talk about decision science a bit and some approaches to facilitate better decision making individually and corporately.

In this session, Julien Coquet discusses creative ways to deal with online fraud!

Since the dawn of digital analytics, commerce activities have been defined with eCommerce metrics and tracking. This approach was described and accepted as a de-facto standard, as no better integration and commerce model was offered. With technology advancements and the evolution of purchasing behavior, commerce activities are becoming more dominant. It is time to reformat or redesign the data and start talking to businesses with a different narrative.

Over the years great analytics thinkers from Stephan Hamel, Gary Angel and many many others have dived into trying to explain how companies understand and use of digital can be understood or even measured and compared across businesses and borders.

Join Simo & friends at the fireside to discuss topics ranging from analytics to data engineering, from career advice to data-related life hacks, and anything and everything you can think of. Audience participation is (almost) mandatory.

We asked 1,000(ish) marketing analytics pros their feelings about their job and their frustrations. The data shows that data is low on their list of frustrations. Let's dive into what they said, and what they didn't.

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]!

It was a big bang on social media when the Austrian data protection authority published its decision on Google Analytics, effectively declaring the current default implementation as non-compliant.

Maybe you've been running Google Analytics 4, aka GA4, alongside Universal Analytics for a while now. Or maybe you haven't even started. Well, now is the time, because everything is about to change! GA4 is here and it's here to stay. In this session, Krista will walk you through the ins and outs of GA4 and show you some cool new things to help you maximize your use of Google Analytics.

All too often, both individuals and organizations hoard the most prized asset in the digital ecosystem: data. This has led to different types of data — such as those tied to ad revenue, subscriptions, content engagement and customer profiles — being kept in silos, to be managed via disparate point solutions. Operating in this way means businesses never get a comprehensive view of their customers, leading to missed opportunities to drive personalized experiences, increase revenues, boost retention and remain privacy-compliant.

Is it possible to analyze and fix the e-commerce tracking of a top “Serie A” football team WITHOUT having any access to the Google Analytics and Tag Manager panels, WITHOUT collaboration from the developers, WITHOUT a brief from the former supplier, and with very little time available? Apparently, yes. Follow the running commentary of an incredible case history and the secrets of a providential intervention carried out at the very last moment, to understand the logic beneath it and be able to replicate it if needed.

One of the things that Yehoshua enjoys very much about Superweek is the opportunity to learn from so many different individuals. In this talk, Yehoshua will take the role of teacher and share with you a potpourri list of "Things He's Learned" that relate to data and analytics over the past two years. Ranging from strategy to tactics, technical to generalized, this presentation is sure to have at least 1 slide that is so amazing that the viral tweetstorm that will ensue might possibly crash the internet

Why? What's new here? What's the innovation?