Data Action Mentor Knowledge Base
Handpicked Resources by our 100+ Mentors that will help you create more business impact with data & AI and accelerate your data career 🚀
Marketing Mix Modeling in real life - Sascha Urban
Sascha Urban - Director Global Data Analytics & Data Science at go1 - explains how Blinkist (acquired by go1) uses Marketing Mix Modeling vs Attribution Modeling
Data Team Self Audit Tool
This Google Sheet Tool allows you to self-audit your data team and evaluate where you stand on your journey to the "promised land" of data analytics (Download to edit)
Data Action Mentor KPI Dimension Map
A KPI/Dimension Map is a great tool to create a holistic overview of which metrics should be possible to combine with which dimensions in a data warehouse. It is also a useful tool to evaluate an existing data warehouse and identify potential gaps and problematic areas.
Data Warehouse Layering Best Practices
Building a scalable data infrastructure without well-defined and well-modeled layers in your Data Warehouse is impossible. This document describes in detail how to set up your layers.
Semantic Layers - David Jayatillake and Sergi Gomez
David Jayatillake (VP of AI at Cube) and Sergi Gomez (Co-Founder at Saivo and former Data Scientist at Boston Consulting Group) explain everything you need to know about Semantic Layers.
How data teams turn data into dollars $$$ - a checklist ✅
A detailed and actionable checklist you can use to create more business impact with your data team and make stakeholders and your CEO love you.
Treating data projects as a startup (Part 1 of 2) - Sven Rutsch and Jonas Dieckmann
Jonas Dieckmann (Global Manager Data Intelligence @Philips) and Sven Rutsch (Data & AI Consultant @msg) share how data teams can learn from startups when embarking on a new data project
Treating data projects as a startup (Part 2 of 2) - Sven Rutsch and Jonas Dieckmann
Jonas Dieckmann (Global Manager Data Intelligence @Philips) and Sven Rutsch (Data & AI Consultant @msg) share how data teams can learn from startups when embarking on a new data project
How to talk to your stakeholders
A short guide on how to talk to stakeholders to guarantee the success and adoption of your data initiative
Testing with dbt - Tim Hiebenthal
Tim is a Lead Analytics Engineer at Project A Ventures. In this presentation, he gives actionable insights on how to design tests for your dbt models.
Experimentation Best Practices from Uber - Sundar Swaminathan
Sundar Swaminathan - Marketing & Data Science Advisor and former Growth Marketing Analytics leader at Uber - shares his best practices for running impactful experiments in a data-driven way.