Ever since my very first attendance, Adobe Summit is my number-one source for inspiration for new things to try out in Adobe Analytics. When the world’s leading practitioners and product experts from Adobe come together to share their knowledge, there is a lot to learn for everyone. This year, Eric Matisoff invited me to share a visualization I created in Analysis Workspace as part of the Analytics Rockstars session. However, the true Rockstar content in that session was the Tips & Tricks shared by Jenn Kunz using Excel with the Flow viz in Workspace. A followup conversation on Measure Slack then unveiled some improvements using Data Warehouse and reminded me of an approach of my own that I want to share today. Some years back I used Adobe Analytics’ Data Feeds with Elasticsearch and Grafana to analyze marketing performance beyond what Adobe Analytics has to offer. While that was a […]
Tag: Microsoft Power BI
Monitor Adobe Analytics usage for free with Power BI and Python
Adobe Analytics is, without a doubt, the most complete and feature-rich product for Web Analytics and Reporting on the market. I won’t even try to list all its features, since I would definitely forget some or would have to update the list in a few months as new functionality is released. And while I, as an analyst and power user, love to have all those great tools available, they create a challenge for me in my other role as an analytics admin. All of those features bring complexity to the every-day work of our business users. For example, when Analysis Workspace was released in 2016, it meant that users had to learn a new interface to get the most value out of Adobe Analytics. But as an admin who knows their users, I have a strong feeling that some people still use the old Reports & Analytics interface in 2021. […]
Visualizing Adobe Analytics Report Suites for free with Python and Power BI
Adobe Analytics is super flexible in the way it can be set up to exactly match all requirements of business users, analysts, and developers. A crucial part of any implementation is the creation and configuration of the Report Suites, which can be seen as the backend database of Adobe Analytics, that will hold the events sent to Adobe Analytics. In theory (and practice in some setups), each and every Report Suite can have a completely individual set of variables and metrics. However, having the option to create an individual configuration of dimensions and events for each Report Suite comes with a hefty long-term cost. For example, each and every setup needs to be implemented in Adobe Launch, where the on-page data layer needs to be matched to the dimensions and metrics of the Report Suite. If every Report Suite is configured differently, a lot of work needs to be put […]
Blogging Ideas for 2020
So, 2020 is here. Happy updated-copyright-notice! While I need to republish my website because of just that, why not think about what to write in the new year? Here are some ideas of what I may spent an article on: Adobe Analytics. Obvious choice, topics may be: Starting tips, explanations and tutorials. Give some definitions and examples for people starting with Adobe Analytics, explaining Dimensions and Metrics, props vs. eVars, interfaces, etc. Use case examples. Show how to analyze the user journey in Analytics and what to consider. Integration examples. Talk about how to integrate Analytics to get the most value with some Open Source tools for Realtime and Big Data stuff or Classifications. Admin tasks. User management considerations, setting up different things. Analytics analytics. Monitoring your adoption by looking at Analytics logfiles. Expert level stuff. Get into details about how props and eVars work internally, how time spent is […]