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#056: Live from Superweek! 2017-02-14 · 05:30
Val Kroll – host , Julie Hoyer – host , Michael Helbling – host , Tim Wilson – host @ Analytics Power Hour - Columbus (OH , Moe Kiss – host

Have you ever been to a really great analytics conference and had just one great conversation after another with other attendees? We have! And, for this episode, we decided to head up into the hills above Budapest and try to bring that experience to you. With a range of fine and foreign libations in hand, a crackling fire toasting our backsides, and a roaming handheld microphone, we asked the questions, and the Superweek 2017 attendees provided the answers. Except when the audience asked the questions...for an episode releasing four weeks hence!   For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

Analytics
The Analytics Power Hour
Event Superweek 2017 2017-02-01
Dinner 2017-02-01
Tahir Fayyaz @ / Google Cloud Platform Team specialising in Data & Machine Learning, BigQuery expert

The advancements in data and machine learning have resulted in some fascinating results. We will explore some exciting recent projects that are using Google Cloud and the open source library TensorFlow with the aim to inspire you to build things you may have thought were not possible.

AI/ML Cloud Computing GCP TensorFlow
Caleb Whitmore – author @ Analytics Pros, USA

Do you want your sister / brother marketeers worshiping your every single tag, email, insight? Well then widening may not be the answer to that but it is most certainly a step in the right direction. Regardless of the industry vertical there will always be a need to add more and more context. The widening procedure may be considered, and usually is, as a pure technical nuisance yet the benefits, if done properly, are enormous. Help your colleagues report faster, understand better and act with this easy to digest data.

Kristoffer Ewald @ Netbooster, Denmark

As the available marketing data and quality of it matures it's time to rethink the core metrics we use to quantify marketing performance. In this talk Kristoffer will focus on the gaps between what we know marketing should focus on and what is typical today, and look forward at the new data-driven key metrics in performance marketing.

Marketing
Stéphane Hamel @ IMMERIA - QUÉBEC, CANADA

Be forewarned, this isn't a workshop - not in the traditional sense anyway. Instead, see it as an opportunity to share the challenges you are facing with a small group of like-minded people, in a safe environment, where you won't be judged - think of it as a group therapy!

Somewhere along the spectrum of "logging into Google Analytics" and "the machines are in control" is the world of the power analyst who interacts with the data on the fly, applies statistics to large data sets, and develops interactive visualizations that go well beyond the capabilities of Excel. Those power analysts are operating on the fringes of the domain of the "data scientist" -- a role for which no one can really agree on a concrete definition! In this session, Tim -- who has never claimed to be and never will claim to be a data scientist -- will share what he has learned from trying to understand the scope and nature of that role. And, beyond that, how he has grown as a digital analyst, expanded his skills to "program with data" with R, and increased his value to the organizations with which he works as a result.

Analytics Data Science Google Analytics
Caleb Whitmore – author @ Analytics Pros, USA

A fireside 'ask us anything' with Caleb and Charlotte Whitmore, founders of Analytics Pros. From questions about analytics to building a globally leading team and company all while building a family and life together, just about anything is fair game.

Analytics

A lot of APIs - both free and paid - can be used to enrich data tracked in web analytics products and this could also include your own created internal APIs to access relevant data, reacting to realtime interactions of your users as they browse. This session dives into some practical examples of doing just that, using R and tag management systems in connection with generally used web technologies.

Analytics API
Lunch 2017-02-01
Coffee break 2017-02-01
Damion Brown @ Principal Consultant, Data Runs Deep – Melbourne, Australia

You use APIs and third-party services to automate the extraction of data from a web analytics tool. But what about automating the sending of data too? In this hands-on talk, Damion shows you how to use services like IFTTT and Zapier to augment the clickstream with context.

Analytics API

Enhanced Ecommerce introduced some new metrics that explain user behavior – something Google Analytics should be used for. Robert, a corporate web analyst or the EEEO (Enhanced Ecommerce Executive Officer) will show us how he uses Cart-to-Detail Rate, Buy-to-Detail Rate and some calculated metrics for better campaign as well as warehouse planning in the EEEO (Enhanced Ecommerce Enabled Organization).

Analytics Google Analytics
Daniel Waisberg – author @ Analytics Advocate, Google UK

At Superweek we all love data. Some of us analyze marketing campaigns and some analyze SEO; some play with statistics and some play with visual tools; some discuss ethical challenges and some ask technical questions. But we all love data and believe it can help other people. In this presentation I will discuss why and how we should use our love and skills to make an impact not just on businesses but also in our communities and society in general.

Marketing
Tim Leighton-Boyce @ CXFocus, United Kingdom

The UK's Government Digital Service has "start with user needs" and "design with data" right at the top of its statement of principles. There are analysts embedded in each team within the organisation and analysis is built in to the Digital Service Standard used by other government departments.

The market is changing rapidly and old approaches are losing their effectiveness. It becomes essential to determine any changes in a timely manner and establish the new direction for the efforts. Based on historical data, the value of which is not always immediately obvious, you can observe what is changing in the behavior of your users. Decision makers have little time and lots of data to work with. I'll show how you can get your questions answered on the basis of complete data, without asking for data analysts' help.