MDE calculations: real data example how to know if you could run experiments on a specific location. Data quality: real data examples to show what it means to have 20% more users in your experiment. Prioritization: how to optimize your chance of success by prioritizing your experimentation roadmap based on data? Test results: what are valid results in the data and what not? When is the experiment done? Business case calculations: how much money is your experimentation program really making?

Events, clickstream data or hits (as they are known in the world of Google Analytics) are the building blocks of all marketing analytics suites. In the past they have been processed and aggregated into prefabricated reports before we interact with them. With compute and storage costs dropping, using these raw hits suddenly becomes a viable and powerful option. They require some extra leg work to use but in return offer some great advantages including the ability to reprocess the data as many times as you see fit.

Every report, analysis, statistical method, and amazing technical innovation eventually winds up in the hands of a human person who must incorporate what has been produced into their decision making process. Sounds simple, right? Successful transmission and uptake of the results of analysis is crucial not just for leveraging data effectively but the long term success of the analyst and the programs they cherish. Let's dig into this a bit and see if we can identify some opportunities. And yes, this will include talking about emotions. How does that make you feel?

In this talk Kris Ewald, a 15y veteran of the Analytics industry will share his views and experiments at the crossroads of event based real time data, data science and token based economics.

For most of us analytics have always been a tool for marketing. But if we drop the assumptions and look at the data we have as a source of insights for the whole organisation to explore how we can make new friends and what difference we can make for the organisation and business in general and not just the website and the online team.

How do you measure the impact of creativity? This is one of the major issues facing analytics in LEGO, since the majority of products are not being sold directly to consumers. Today, LEGO’s internal creative agency is providing thousands of creative communication and marketing assets to hubs all around the world in hundreds of different cultures, but the question remains how can you measure creative work’s productivity and efficiency and how do you determine the return on a creative marketing asset in a complex world?

With the introduction of App + Web, the next generation of Google Analytics is here. In this session, Charles will cover all of the new features App + Web provides over the current Google Analytics, explore the differences in their data models, and provide resources to get started.

Marketing automation, machine learning models, customer data platforms; at least one of these is included in your company’s ambitions for 2020. But is you analytics implementation prepared for it? Many companies struggle to implement ambitious data projects because of a lack of data standards and ownership, specialy in the digital analytics sphere.

What’s the best way to make sure all of your teams are connected and the loop is closed on the analytics life cycle? It may seem like a hard feat, but building an analytics center of excellence is a great place to start. It can help create value for your programs by unifying SMEs outside of the regular reporting structure and providing a space for collaboration.

It's here! The Digital Analytics dream of all your digital data and offline data in one platform! Or is it just another buzzword? This presentation will dive into real use cases implemented on Customer Data Platforms across CPG, Automotive, and Gaming industries. Bringing to light how Analysts can utilize this emerging technology to enable capabilities around customer journey analytics, content optimization, personalization, and more.

What does it take to evolve into a client centric agency where tools, technicalities and stats become a secondary priority. What are the essential skills and exercises for your entire team and how does the business adapt to everyday challenges.

In essence, this is the output from SPWK - start the year with the hardest list of things you want to tick off. I'll describe I want to tackle in 2020. These are my personal moonshots, stuff that pushes my boundaries, expands my envelope and challenges me.None of these ideas has gone beyond ideation. They're doable with time, effort and new features. I want someone to pick them up and run with them...maybe even capture a Golden Punchcard in 2021?

Whether we use Data Studio, Excel, Google Sheets, Tableau, R, some other platform, or (most likely) some combination of platforms, at the end of the day, as analysts, a core mechanism we use for communicating with our stakeholders is data visualization. The difference between an excellent visualization and a mediocre one can easily be the difference between whether a stakeholder understands and acts upon the data or whether she, instead, struggles to internalize the information and actually put it to use. In this session, Tim will walk through some of the neuroscience and psychology that underpins best practices in data visualization, as well as provide platform-agnostic tactical tips that put these principles to effective use.

There are too many things Peter wants to discuss about Digital Analytics and yet, he only gets to speak once. So in this talk, he will be musing on a wide range of topics around the nature of Digital Analytics, the work we do and life in general. This session will include what & who is inspiring Peter, what he wants to be working on and learning in the future, his frustrations within the world of Digital Analytics, his thoughts on what companies should be focusing on and of course, Peter’s latest point of view on attribution. The intention is to spark a bit of inspiration and ideas for all attending in return for the inspiration Peter has received from others.

The digital analytics industry has seen a lot of changes in recent years, both in terms of new products and ways of doing analysis, and how analysts want to use such tools and access data. In this talk, Krista will touch on the shifting trends she's seen and dig into new tools such as Google's App+Web tracking for a glimpse at what the future may look like.

With the proliferation of event based analytics and sophisticated real time data science and the parallel maturing of token based economice there's a cross roads where they meet worth a fireside chat. Often we get stuck in privacy debate or broad statements of data as the new oil, but it deserves a much more nuanced discussion and look ahead at where we can go...

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]!