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?

In this presentation, Daniel will discuss two different aspects of his day-to-day work: making data available at scale & analyzing Google Search data. He'll show examples on how to build data products from conception to launch, and how to make sense of Search data through visualization cues.

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?

Experimentation analysis can take days if not weeks to be thoughtfully analyzed, which can either reduce your team's throughput or may reduce your organization's capability to make decisions based upon tested learnings without them becoming irrelevant. More often than not teams are not well equipped with multiple analysts and data scientists, so scaling the experimentation program is capped by their throughput.

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.

Data Ownership: status and debate with guest opinions, Q&A.

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

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]!

Analysts' salary is definitely lower than software engineers on average based on Glassdoors data. I believe it is not about skills, but about the lifetime value of analysts' work versus engineers'. I am going to prove this statement with data and help data analysts make their work more valuable for decision makers. Or work less with the same outcome, up to you :)

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.