Analytics Mistakes Explained
Common analytics mistakes: confusing correlation with causation, using small or biased samples, ignoring confounding variables, and cherry-picking data.
All Data Analytics Insights Articles
Welcome to the complete index of every article in our Data Analytics Insights collection on When Notes Fly. This page lists all 18 articles in the section, organized alphabetically for easy reference. Each piece is researched, written by hand, and grounded in academic sources, professional practice, or empirical data. Whether you are diving into Data Analytics Insights for the first time or returning to find a specific article, the index below gives you direct access to the full collection within Technology.
If you are new to Data Analytics Insights, we recommend starting with the foundational explainers and definitions before moving on to specific case studies, applied frameworks, and deeper analytical pieces. Articles are written for thoughtful readers who want substance over summary, with clear explanations of how ideas connect, where they come from, and why they matter. Use this index as a navigational map: skim the titles, read the short summaries, and click through to the pieces that draw your interest. Each article also links to related material so you can follow a thread of ideas across our entire Technology library.
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Analytics vs Data Science
Analytics analyzes existing data to answer business questions about what happened and why. Data science builds predictive models and discovers new insights.
Causation vs Correlation
Correlation means variables change together with predictable patterns. Causation means one variable directly causes changes in another variable.
Dashboards That Actually Work
Effective dashboards answer specific questions with purpose-driven data. They enable clear decisions, show relevant metrics, and update in real time.
Data Pipelines Explained
Data pipelines automate moving data from sources through transformation to destination. Components include sources, processing, storage, and monitoring.
Data-Driven Decision Making: Where It Wins and Where It Lies
Data beats intuition, except when it quietly leads you off a cliff. See the 8 pitfalls that make data-driven decisions backfire and how the best teams avoid them.
How Recommendation Algorithms Work
From Netflix to TikTok, recommendation algorithms shape what we watch, read, and buy. Learn how collaborative filtering and content-based filtering work, what the Netflix Prize revealed, and how to audit your own recommendations.
How the Google Search Algorithm Works
Google's search algorithm has evolved from PageRank to a complex system of hundreds of signals. Learn how rankings actually work, what E-E-A-T means, the history of core updates, and which SEO myths to ignore.
Interpreting Data Correctly
Correct data interpretation: understand context, check sample size sufficiency, look for confounding variables, and verify assumptions before concluding.
Visualization Best Practices
Data visualization: choose appropriate charts like bars for comparisons and lines for trends, match chart type to data, simplify to highlight insights.
What Is A/B Testing
A/B testing is how companies make evidence-based product decisions. Learn how statistical significance works without jargon, how to avoid common mistakes like peeking, and how major tech companies run experiments.
What Is A/B Testing and How Do Companies Use It
A/B testing explained: statistical significance, p-values in plain English, famous examples from Amazon and Google, common pitfalls, and when not to run a test.
What Is Data Analytics: Turning Data Into Decisions
Data analytics is the process of examining datasets to draw conclusions, identify patterns, and support better decision-making across organizations.
What Is Data Privacy and Why It Matters
Data privacy is not just a preference — it is a power issue. Learn what companies collect, how GDPR and CCPA differ, what data brokers do, how differential privacy works, and why your right to be forgotten matters.
What Is SQL and How Is It Used
What is SQL? A plain-English guide to how SQL works, what SELECT, JOIN, and GROUP BY do, why SQL remains dominant, and when to use SQL vs NoSQL databases.
What Is a KPI: Key Performance Indicators Explained
A KPI (Key Performance Indicator) is a measurable value that shows how effectively an organization is achieving its most important goals.
What Is the Net Promoter Score (NPS) and Does It Work
NPS measures customer loyalty with a single question. Learn how it's calculated, what the research says about its validity, and when to use alternatives.
Why Analysts Spend 80% of Their Time Cleaning Bad Data
Dirty data silently breaks dashboards, ML models, and million-dollar decisions. See the 10 quality problems that cause it and how to catch them early.
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