talk-data.com

In this presentation Daniel will discuss how analysts are constantly working on translating information, from emails to data and more. He will talk about examples from his day-to-day data work, showing how he deals with translating them into a language analysts can understand better.

"The vast majority of commercial web data we analyse, even as professionals, is poor quality." A large part of my job involves auditing Google Analytics setups in order to establish the quality of the data collected. This story brings together some of the extraordinary findings of my work. Its a study of 75 enterprise websites using Google Analytics. The results are somewhat surprising (and depressing) in that they show the general poor quality of data that organisations are working with. For example: the Average Quality Index score is only 35.7 out of 100, and one in five websites have a PII issue i.e. were collecting personal information into Google Analytics.

In this talk Anastasiia and Mariia will show how they use data for their company purposes. Collecting data from everywhere: Office, Task Manager, Google Calendar, Gmail, SalesForce and internal systems.

Have you ever looked at different data sets and thought,’wow this data set is really informative but this other data set, not so much’’? Or though ‘this data is really surprising’. As analyst, wouldn’t it be amazing, almost magical, if rather than just using ‘information’ and ‘surprise’ as qualitative terms, we could actually quantify both how surprised we are, and how much information one data set has vs another?

The top speed recorded by an F1 car is currently 372.6 km/h (231.5 mph). Juan Pablo Montoya of the McLaren-Mercedes F1 Team achieved that after racing professionally for 13 years (and 'Karting' most of his early life). The F1 car itself is an amazing tool, but does anyone think that you could put just anyone behind the drivers seat and achieve the same results as Montoya? Tools are only as good as the people using them (at least until said tools learn how to murder us). In a recent study 55% of college students said they believed the full moon caused people to behave oddly, despite a complete lack of evidence. The often unspoken problem in Analytics is the people. Even if they don't believe in Bigfoot, they may lack the humility to admit they have blind spots, or the intellectual empathy to understand things that aren't all about them. We must elevate our practice of analytics through the promotion of Critical Thought, which leads to better Empirical Analysis, and insight and value for our companies and clients.

This is a continuation of the stuff Tim Wilson spoke about. I am a relatively new entrant to the whole data science side of things (about 12months in as of now) and tried learning a bit of R / deployed snowplow etc but still struggled with code and not having intuitive interface that I was used to.

While the ink is dry on the final text of the GDPR since May 2016, the same can not be said for the courts. They are busier than ever with respect to data protection litigation! (there hasn't been a lot before to be honest as the legal instruments weren't as adequate)

These days there is a strong case for Machine Learning in Analytics and everywhere you turn you are presented with case and examples on how ML have made the analysis better, faster and more consistent. But for a man with a new hammer everything looks like a nail and sometimes we forget to draw a line when machine learning is the right tool and when an analyst actually is required to do the job right. Join this session to dive into some big thoughts on how to distinguish what is needed when.

The Google Analytics Suite of products is now part of the Google Marketing Platform. We will cover how key pieces of the Platform can be used including the Salesforce connectors, Display & Video 360, Google Optimize integration, and Google Cloud integrations. We will review how data can be used actionably for advertising, e-mail, personalization, and surveys.

We'll look ahead into the rapid changes hitting Analytics as an industry and all of us as people needing to protect our digital profiles and review where we've come from, what needs to change, and where we headed.

Past attendees of Superweek have ridden along with Tim as he explored R, and then as he dove deeper into some of the fundamental concepts of statistics. In this session, he will provide the latest update on that journey: how he is putting his exploration into the various dimensions of data science to use with real data and real clients. The statistical methods will be real, the code will be R (and available on GitHub), and the data will only be lightly obfuscated. So, you will be able to head back to your room at the next break and try one or more of the examples out on your own data! (But, don't do that -- the food and conversation at the breaks is too good to miss!)

I'm giving away my ideas for free. I'll describe I want to tackle in 2019. These are my personal moonshots, stuff that pushes my boundaries, expands my envelope and challenges me. In essence, this is the output from SPWK - start the year with the hardest list of things you want to tick off. 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 2020? You're welcome to lift them and use them - I don't expect any credit, just go do something interesting!

Plug-and-play analytics doesn't work - we should know that by now. But even an amazing, super-charged analytics pipeline will fail in an organization that lacks the maturity to maintain it.

Looking closer at a real case study, we will put the data feed in the spotlight and look at how we leverage Google Ads API, Bing Ads, Google Campaign Manager and Google Search Ads 360 to fully automate advertising campaign setup and optimization.

In this Google talk you'll hear more about what kind of voodoo successful images publishers employ to get Google Images show their content to hundreds of millions of users. You may think it's black magic, but the reality is that with just a few steps you may be able to boost your images' visibility on Google Images considerably while staying ahead of your competition and the changes to come!