Digital Analytics
This Zettelkasten on Digital Analytics is a place for collecting ideas, letting them collide and build up over time, and maybe sharing something useful in the process. The system is open to anyone who wants to see it, but there’s no index or navigational aids.
Digital Analytics is about discovering, capturing and analyzing data. It’s also about building models to make predictions and personalizing customer experiences for the benefit of the organization. Lastly its about how to accomplish this with a Team and integrating it into an organization.
I define Digital Analytics on the basis of 6+2 Topics that build on and complement each other.
Together with define, this forms the base of all further Digital Analytics Work.
- define: What should be achieved, why and how? This is all about Discovery
- capture: All about Data, quality assurance, and even literacy.
These 3 topics form the core of Digital Analytics
- report the status quo
- analyze to understand the status quo, context, causal connections
- test to exclude chance and check these causal connections.
- predict is the where the next big step in monetization lies. But it makes no sense to skip to here while skipping previous topics. Create models to make predictions but also create personalizations and optimize customer approaches. “what-if scenarios”, “attribution moddels”
Along with these 6 Topics of what the digital Analytics work entails, 2 “meta” topics
teamwork on "how to get this work done
and
context on interfaces to everyone else inside and outside the organization
All Notes and unfinished scribbles
- Business Questions
hello world
- Cookieless Analytics Tools
I tested 5 Cookieless Analytics Tools. Check out how they stack up against Google and Adobe Analytics.
- Objectives, Goals, KPIs, OKRs
- Vision & Purpose
- Analyze
to understand the status quo, context, causal connections
- Capture
All about Data, quality assurance, and even literacy.
- Context
On the interfaces inside and outside the organization within wich digital analytics operates.
- Data Literacy
- Define
What should be achieved, why and how? This is all about Discovery
- Documentation Database
documentation is king. Make it digital
- Documentation
- Governance
Data governance aims to increase and maintain a high level of data quality.
- Götterfunke
Götterfunke uses the Google Analytics Management API to align the Custom Dimension Configuration of multiple properties.
- Digital Analytics
- Internal Certification
when enabling people to use systems, dont just leave them for themselves, train and certify internally
- Predict
from data to knowledge, refining information to knowledge through manual enhancement
- Problem Domain
A problem domain stakes out the “playing field” of what is beeing done.
- Processes
a row is not a dead thing you can claim - see also colors of the wind. make the process of a DB row more explicit than that actual role
- Report
Report the status quo and assess progress.
- Self-Service
Help Users help themselves
- Single Point of Truth
- Story Telling
- Tag Management
tagging your website needs IT. There’s no way around that.
- Teamwork
exploring how do digital analytics teams work well together
- Test
Rule out Chance in the measured impact of changes
- Ticket Systems
using ticketsystems with a digital analytics team
- Training
data literacy through training
- Usecase