Automating does not necessarily revolve around expensive tools or having to code advanced scripts. It’s about being creative with what you have and using the resources you have available at your disposal.

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!

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?

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.

Frustrated with the present, Peter jumps ahead to describe the future for Digital Analytics within organisations. He will describe the Digital Analytics solution for the future across the people, technology and processes requirements. This won’t just be the dream set-up for large organisations with big budgets (that’s easy) but instead how Digital Analytics can be made to be useful, in a practical sense, for organisations of any size.

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)

The client seems happy enough just to collect the data. Our job is to make them understand what the data is for. Once they lose their data virginity, they won't want to stop. Doug describes a brand new set of personal use cases where the awesome power of data was liberated once the data was actually used. Learn even more tricks and techniques of the stealth change agent leading to that threshold moment in a data empowered career. Machine learning, data science, optimisation, professional jiu-jitsu and good old political persuasion are on the menu. Learn how to convince clients (internal or otherwise) to actually take your advice on board and do something other than just stare at a dashboard.

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.

If someone asked you what first sparked your interest in web analytics, you'd probably say something like "solving problems using data". Most of us talk about finding insight in numbers for the benefit of whichever company is picking up the check and putting food on our tables, but how often does our work go beyond problems like "tag this" and "troubleshoot that", and really translate into solving a tangible, true, big problem for an organisation?

Learn how to identify and eliminate customers that are killing your business. Industry experts will share real case studies from top European e-commerce companies on how they boosted their revenue with the Purigado approach.

"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.

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.