The end of Google Universal Analytics, the new age of Google Analytics 4, and how to make a switch without losing the tracking.| dataanalysis.substack.com
Becoming proficient in experimentation, navigating consulting, positioning for promotion, and dealing with the frustration of unused work.| Data Analysis Journal
Bringing data science into marketing analytics: How to locate the right frequency for upsells, ad impressions, or push notifications| Data Analysis Journal
A reader’s story about impossible expectations, the path to becoming an analyst, and actionable retention reporting.| Data Analysis Journal
Lessons from StatSig on best practices of designing and running experiments in B2B| Data Analysis Journal
Revenue modeling, stakeholder engagement, and the pitfalls of root cause frameworks.| dataanalysis.substack.com
A recap of data analysis publications, guides, and news over the past month.| dataanalysis.substack.com
Making sense of customer movements: Upgrades, Downgrades, and Re-Subscribers| Data Analysis Journal
How to segment diverse personas, when not to use k-means, and why forecasting still needs human input.| Data Analysis Journal
Your monthly recap of the latest trends, market shifts, key discussions, and updates in data science and analytics| Data Analysis Journal
Kicking off the new Q&A section: your questions, real stories, and the occasional rant| dataanalysis.substack.com
How to track, segment, and analyze returning paid users in subscription apps| Data Analysis Journal
How to connect A/B test results to real-world business decisions - lessons from Roblox| Data Analysis Journal
Statistics 101: Why analysts confuse significance with confidence, power with precision - and how to get it right.| dataanalysis.substack.com
An interviewing guide for hiring managers on finding, interviewing, and hiring top talent for data science and analytical roles.| dataanalysis.substack.com
Or why Customer Data Platform may not be the solution you need.| dataanalysis.substack.com
Does data quality have ROI? Ways to measure and quantify data governance metrics| dataanalysis.substack.com
What changed or transformed your career? Take some advice from data and analytics leaders.| Data Analysis Journal
The case against semantic layers (until you actually need one)| dataanalysis.substack.com
Reflections from data summits, industry shifts, and what we’re still getting wrong in analytics.| Data Analysis Journal
Data analyst career guide: an overview of roles, skills, and industry trends| Data Analysis Journal
How to interpret DAU/MAU with benchmarks, examples, and align it with your product’s real usage frequency.| dataanalysis.substack.com
Or: how to set up your events-based tracking for product analytics| dataanalysis.substack.com
How invisible contributions undermine career growth (and what to do about It)| Data Analysis Journal
Build analytics that scale with your product - a practical guide for product analysts| dataanalysis.substack.com
Stats, tools, and trusted resources for doing experimentation right| Data Analysis Journal
Finding the Why: turning raw data into clear, actionable insights and stories| dataanalysis.substack.com
A deep dive into Apache Superset and Preset - how they compare to traditional BI tools and why they stand out.| dataanalysis.substack.com
How to predict revenue, user growth, and key business metrics using moving averages, regression, and ML| dataanalysis.substack.com
A comprehensive guide to evaluating Tableau and Power BI for data analysis| dataanalysis.substack.com
An honest story of the highs, lows, and hard lessons from running an analytics consultancy.| dataanalysis.substack.com
A roundup of popular BI dashboarding tools to help you choose the best reporting tool.| dataanalysis.substack.com
Interviewing Peter Fishman: know your skills well and progress from data reporting to insight interpretation.| dataanalysis.substack.com
How to measure overall retention or blended churn for subscription businesses.| dataanalysis.substack.com
Introduction to Product Analytics: required skills, common projects, and navigating challenges.| dataanalysis.substack.com
Working with descriptive statistics: how to know when to use Mean or Median in your reporting| dataanalysis.substack.com
October Digest: Case studies, reports, analysis, and tutorials you may have missed| dataanalysis.substack.com
Interviewing Seattle Data Guy - how to transition to data engineering, stay motivated, and break out of tutorial hell.| dataanalysis.substack.com
Case studies, reports, analysis, and tutorials you may have missed| dataanalysis.substack.com
Distributions 101: Introduction to statistical distributions, their types, use cases, and examples| dataanalysis.substack.com
Summer recap: case studies, reports, analysis, and tutorials you may have missed| dataanalysis.substack.com