Data Analytics & Business Intelligence

After spending exactly 45 hours over the last week forensically analyzing the cloud billing exports, infrastructure topologies, and… Continue reading on Postgre

Have you ever felt like the job market is shifting so fast that you just cannot keep up with the changes? It is honestly overwhelming trying to figure out which

Donut charts in Power BI can be powerful when used correctly — but they’re also one of the most misused visuals in dashboards. A… Continue reading on Power BI »

Photo by Luke Chesser on Unsplash Continue reading on Medium »

Silent failures, partial responses, and the debugging nightmare nobody talks about Continue reading on Medium »

After spending way too many hours scrolling baby-name lists when my wife and I were name-hunting, I built Peek a Name — a free, no-signup baby name database wit

Man, does anyone else remember the early days of data lakes? It felt a lot like we were just, well, dumping everything into Amazon S3… Continue reading on Mediu

Models, macros, tests, seeds, documentation, snapshots, exposures Continue reading on Level Up Coding »

I hit Run. Grabbed my coffee, the good stuff, because this query was about to touch two billion rows. Continue reading on Level Up Coding »

A scenario analysis case study on calibrated uncertainty, historical error, and why some models are most useful when they refuse to forecast. The post When the

Stop shifting elements in lists! Discover why collections.deque is the secret to high-performance sliding windows, thread-safe queues, and efficient data stream

Sounds harsh, but hear me out. Continue reading on Medium »

Bivariate Diagonal-Split Composite Triangular Heatmaps Continue reading on Top Python Libraries »

Continue reading on Medium »

Data is supposed to be the lifeblood of a modern organization. We are well past the stage of data being a simple resource. Continue reading on Medium »

Part 1: The basics — discretization of time, censoring and the life table The post Discrete Time-To-Event Modeling – Predicting When Something Will Happen appea

A data quality case study from English local elections on categorical normalisation, metric validation, and why raw labels should never define analytical groups

Modern supply chains are complex networks connecting suppliers, manufacturers, distributors, and retailers across the globe. Managing these networks require det

Speed comes from two things: Indexes that skip straight to your data, and RAM cache that avoids hitting disk twice... Continue reading on Medium »

I’m Matthew, building Arbiter Briefs — an AI engine that helps founders make high-stakes decisions. This week we shipped financial PDF ingestion, and I want to

It was 2 am on a Thursday. I was reading about a software company’s IPO filing — a company I have no stake in, in a sector I don’t follow… Continue reading on M

The Basedash Dashboard Agent is a tool designed to simplify the process of building and managing internal dashboards for database-driven applications. Here’s a

Government procurement data is a mess. If you've ever tried to build anything on top of SAM.gov's API, you already know. Inconsistent field formats, missing NAI

Apache Fluss (incubating) is one of those projects that you heard about once maybe six months ago, didn’t really understand what the hype… Continue reading on f

How can you validate that your variables tell a consistent risk? The post How to Study the Monotonicity and Stability of Variables in a Scoring Model using Pyth

We built a Curated Context Architecture where high-stakes business questions return the same correct answer every time — across analysts… Continue reading on Me

As organizations become increasingly data-driven in 2026, one of the most important decisions leaders face is how data should move across systems. Should busine

In today’s technology-driven world, data is at the core of innovation and decision-making. Companies across industries depend on data… Continue reading on Mediu

The depth vs. breadth debate has a new variable, and it changes everything. Continue reading on Medium »

One renamed field. A dashboard showing $0 in revenue. An analytics team in panic. Here’s the data engineering practice that prevents this. Continue reading on M

A practical guide to NumPy dtypes — and why they affect memory, precision, speed, missing values, and the reliability of your data work… Continue reading on Med

How we replaced Python pipelines with dlt, dbt, and Trino — and cut delivery time from weeks to one day. The post 4 YAML Files Instead of PySpark: How We Let An

Introduction Most web scraping guides focus on tools, frameworks and speed. Playwright, Puppeteer, rotating proxies — pick your stack and… Continue reading on M

How the Scribal Class of Ancient Egypt Built, Sustained, and Sometimes Destroyed the Most Powerful Information Infrastructure in Human… Continue reading on Leve

An open-source dashboard that turns news, markets, geopolitics, AI, webcams, prediction markets, and infrastructure risk into one… Continue reading on Medium »

The pursuit of scientific rigor within the context of active conflict and forced displacement represents one of the most profound… Continue reading on Medium »

What does correlation tells us? The post Correlation Doesn’t Mean Causation! But What Does It Mean? appeared first on Towards Data Science .

Tugas Pemrograman dan Data Raya Lanjutan Continue reading on Medium »

Functional programming patterns that make data transformations predictable, testable, and production-ready Continue reading on Medium »

A practical breakdown of tools like Python, SQL, Spark, and emerging AI-assisted analytics workflows Continue reading on CodeX »

GCC municipal intelligence as a decision layer: evidence, review, governance, and regional urban coverage.Why the next generation of… Continue reading on Medium

Sabrine Bendimerad on why flexibility is a crucial data science skill, the risks of outsourcing human thinking to AI agents, and the changing terrain of career

For the last decade, “self-service business intelligence” usually meant filtering a complex dashboard and hoping you selected the right metric. If a business le

A simulation of how a single forecast change moves through five planning teams, and why most retailers lose money in the gap between Sales and Stores. The post

Choosing the Right Forecasting Strategy Every supply chain manager faces a critical decision: stick with proven traditional forecasting methods or embrace AI-po

If you've ever wrestled with Excel dates, you know the frustration. One column shows 'MM/DD/YYYY', another 'DD-MMM-YY', and a third just throws up numbers or te

Self-Service Analytics Trends, Tools and Best Practices for 2026 Data is no longer limited to data teams. In 2026, businesses want every department to use data