Factolytics is a home for clear, practical data stories, tools, and case studies drawn from real work in operations, finance, and everyday life.
Fast reads when you just want the headline, and longer walkthroughs when you want to see how the sausage is made – all in one place.
A simple benchmark that shows whether your cash buffer is growing, shrinking, or just standing still against rising prices.
Read insight →Turn your calendar into a simple visual that shows how much of your week is meetings, admin, and actual deep work.
Read insight →See how small upgrades in housing, cars, and subscriptions add up – and how to set a simple guardrail that keeps your savings rate intact.
Read insight →How to go from a raw export with weird codes, missing values, and duplicate rows to a clean data model you can slice by customer, region, and product.
A small, well-documented Python example that pulls a CSV, cleans it, and produces a simple forward look with plain-language commentary.
A time-stamped event log gets turned into a visual that shows exactly which handoff is costing you the most days, and how fixing one step changed the curve.
The site is built around a handful of repeatable formats that show up again and again, so you know what you’re getting when you click.
Lightweight helpers that don’t require you to rebuild your whole stack – just drop in your file and go.
Scan any CSV for missing values, duplicate IDs, out-of-range dates, and suspicious zeros. Prints a readable summary you can share.
View code →A compact sheet that tracks volume, cycle time, rework, and backlog with automatic visuals and simple traffic-light formatting.
Download →Common query patterns for measuring gaps between events, flagging stalls, and ranking items by how badly they’re stuck.
See snippets →These aren’t theoretical “perfect world” examples – they’re drawn from messy, time-boxed projects where things had to ship.
Mapping the workflow, measuring each step, and automating just enough to pull cash in sooner without breaking controls.
Consolidating spreadsheets, exports, and ad-hoc trackers into a single model with definitions everyone can agree on.
How a handful of targeted macros and queries saved hours a week per person – and how to quantify the gain in a way leaders respect.
A single featured insight, template, or story – the one thing on Factolytics most worth your time today.
A small, practical time-tracking and visualization setup that doesn’t require a new app. Just your calendar, a template, and a 10-minute weekly review.
Open today’s pick →Shorter essays on working with data day-to-day: mindset, tools, and little tricks that don’t fit in a chart.
A quick look at why getting a simple, honest view in front of people now usually matters more than shipping a masterpiece later.
Read post →SUMIFS, INDEX/MATCH (or XLOOKUP), TEXT, DATE math, and simple IF logic – with examples of where they show up in real-world work.
Read post →A lightweight way to capture requests, track status, and keep your data work visible – even if your only tools are email, Excel, and a shared folder.
Read post →The Members Area is the hub for richer tools, advanced walkthroughs, and working examples. It’s designed for people who want to go beyond reading and actually build, automate, and tune their own workflows.
Access will be login-protected. For now, you can preview the concept and, once ready, log in via the Members Area link in the top navigation.
Factolytics consulting is for teams that are drowning in exports, Excel files, and half-finished dashboards – and want someone to help them tame it.
If you’re interested in working together, start with a short note about your situation: what you’re trying to measure, where the data lives today, and what “better” would look like.
Need a partner to fix your data workflow?
Whether you’re wrestling with billing cycles, reporting chaos, or simply want a cleaner view of
what’s happening, Factolytics is about turning raw facts into analytics that people actually use.
Start small: pick one process, one dataset, and one question you care about. Then iterate. That’s how the best analytics setups are born.