April 2026
December 2025
- Dec 24, 2025TechnologyCausation vs Correlation: Key DistinctionsCorrelation can reflect genuine causation, reverse causation, a common cause, coincidence, or a tangle of causal paths, and the article works through each before laying out the Bradford Hill criteria. The sharpest case is hormone replacement therapy: Nurses' Health Study observational data linked it to less coronary heart disease for decades, until the 2002 Women's Health Initiative trial found it raised the risk of heart disease, stroke, and breast cancer.
- Dec 23, 2025TechnologyCommon Analytics Mistakes and Their ImplicationsHewlett-Packard found employees living far from headquarters quit more in their first year, strongly and significantly, and changed recruiting to favor nearby candidates. The confound was compensation: those campuses paid below local market, so staff both commuted from cheaper suburbs and left for better-paying competitors. Proximity had nothing to do with it. Correlation misleads through confounding, reverse causation, and spurious matches that are inevitable at scale.
- Dec 23, 2025TechnologyWhy Analysts Spend 80% of Their Time Cleaning Bad DataThe six dimensions data quality is judged on, accuracy, completeness, consistency, timeliness, validity and uniqueness, plus the detection techniques and prevention strategies that catch defects before they reach a dashboard or a model. The sharpest case is Public Health England in October 2020: test results compiled in the older .xls format hit the 65,536-row ceiling, so roughly 15,841 confirmed cases were dropped with no error message at all.
- Dec 23, 2025TechnologyData-Driven Decision Making: Where It Wins and Where It LiesWells Fargo's cross-selling numbers were strong right up to the discovery of roughly 3.5 million unauthorized accounts. The metric became the target and stopped measuring the thing it stood for. This page pairs that failure with the upside: Brynjolfsson, Hitt and Kim studied 179 large publicly traded firms and found data-driven practices associated with 5 to 6 percent higher output and productivity.
- Dec 22, 2025TechnologyAnalytics vs Data Science: Key Differences ExplainedHarvard Business Review declared data scientist the sexiest job of the 21st century in 2012, and by 2022 was publishing the follow-up question. The title had fragmented: some were shipping production machine learning, others writing SQL and maintaining dashboards. Analytics asks what happened and why; data science asks what happens next and how to automate the decision. Conflating them means hiring data scientists to build dashboards, or analysts to build pipelines that fail.
- Dec 19, 2025TechnologyBest Practices for Effective Data VisualizationPosition along a common scale won, then length, then angle, then area, with color saturation and volume worst, which is why bar charts beat pie charts and why 3D effects and bubble sizes mislead. Their 1984 paper is the reason these rules exist rather than being matters of taste. The page covers Tufte's data-ink ratio, direct labeling over legends, sequential and diverging color, and how truncated axes and dual axes distort what readers conclude.
- Dec 19, 2025TechnologyData Interpretation: Avoiding Common PitfallsTufte later rebuilt the analysis with every previous launch included, and the relationship between temperature and damage was unmistakable, with the 31 degree launch far outside anything observed. Absence of a pattern in incomplete data is not evidence of no pattern. The page covers confounding, reverse causation and selection effects, what a p-value does and does not mean, the multiple comparison problem, survivorship bias, and Simpson's paradox.
- Dec 2, 2025TechnologyUnderstanding Analytics Tools for Your Data NeedsThe usual failure is not missing data but missing analysis capacity, which is why a dashboard nobody opens beats nothing only on paper. The page gives a blunt test for separating real metrics from vanity ones: if this number moved, what would you do differently? If the answer is nothing, stop tracking it. It also covers the GA4 versus cookieless tradeoff, where avoiding consent banners costs you cross-device tracking.
September 2025
May 2025
July 2023
February 2023
- Feb 22, 2023TechnologyData Science Explained: Skills and Career InsightsRogati's hierarchy of needs explains it, since reliable collection, pipelines and defined metrics have to exist before machine learning on top of them means anything. A McKinsey survey found just 18 percent of organizations pursuing these initiatives had reached widespread adoption generating significant value, with data quality the most cited barrier at 58 percent, ahead of talent at 47 percent.
- Feb 11, 2023TechnologySQL: Understanding Its Role and FunctionalityWhat SQL is and why it has lasted. IBM mathematician Edgar Codd published his relational model of data in 1970, proposing that data be organized into tables with defined mathematical operations for querying them, and IBM researchers built a language to implement it called SEQUEL, later shortened to SQL. More than fifty years on it has outlasted competing paradigms and remains the dominant way to access structured data, from startups to financial institutions.
- Feb 9, 2023TechnologyA/B Testing: Insights and Navigating PitfallsThe page puts the practitioner figure at roughly 1 in 3 confident ideas actually improving things. Google's test of 41 shades of blue is the case study, estimated to add about $200 million in annual ad revenue, though designer Doug Bowman left partly in protest at data over design. Netflix found the matching caution: thumbnails optimized purely for clicks produced earlier abandonment.
No guides match that search. Try a shorter phrase, or clear the search.