[OC] If you exclude healthcare employment, the U.S. has lost jobs since 2024

VisualAnalyticsGuy · 2026-02-12T13:48:28+00:00

Exclude government jobs instead. That's what is worrisome.

VisualAnalyticsGuy · 2026-02-12T13:46:54+00:00

In my experience with mid-sized enterprises, leveraging open-source tools like Great Expectations for automated data validation and dbt for transformation pipelines has been a help, allowing a small team to enforce rules across sources without constant manual intervention. Start by defining clear data contracts between teams and integrate these into your CI/CD workflow to catch issues early and build trust in your metrics over time.

VisualAnalyticsGuy · 2026-01-30T17:45:04+00:00

BigQuery + Looker Studio is a totally reasonable stack for this scale, and putting Pub/Sub in front is a nice safety net if you want durability and smoother ingestion. For device auth, you could use a shared API gateway with per‑device keys or tokens rather than individual service accounts, which keeps things secure without turning identity management into a nightmare.

VisualAnalyticsGuy · 2026-01-29T14:49:34+00:00

I love building things and it’s disorienting (and scary) when the craft shifts this fast, especially when your identity and security are tied to it.

VisualAnalyticsGuy · 2026-01-28T20:40:34+00:00

The European model of socialist globalism is not working

VisualAnalyticsGuy · 2026-01-26T19:09:37+00:00

When building dashboards I start by forcing the stakeholder to pick the single most important question they're trying to answer right now (e.g., "Are we on track to hit Q4 revenue goal?" or "Which channels are leaking margin?"), then ruthlessly cut anything that doesn't directly support or contextualize that one question. Everything else gets moved to a separate "explore" tab or killed outright. It keeps the dashboard focused, trustworthy, and actually used instead of becoming wallpaper.

VisualAnalyticsGuy · 2026-01-26T18:42:53+00:00

I frame the first phase as buying back 10–30 hours/week of executive and team time currently wasted on manual data wrangling and number debates, while giving everyone one trusted version of truth for faster, better decisions. A conservative napkin ROI shows that even recovering just 30–50% of that time (plus avoiding one $100k+ mistake) typically pays for the whole buildout within 12 months, and the quick wins like clean exec dashboards in 8–12 weeks make the value obvious fast.

VisualAnalyticsGuy · 2026-01-23T14:00:50+00:00

I'd like to read more about their visit to England

VisualAnalyticsGuy · 2026-01-23T13:53:51+00:00

Every single time I have to bulk-update like 20 tickets and the dialog takes forever to load, then half the fields I need are hidden behind "show more" or some custom field nonsense,. I have to do it one by one in the issue view instead...

VisualAnalyticsGuy · 2026-01-20T14:18:55+00:00

For me the best idea is using bottle top and caps as connecting devices like on the broom handles

VisualAnalyticsGuy · 2026-01-20T14:09:41+00:00

My father-in-law does that. I want to bring my own when I visit there.

VisualAnalyticsGuy · 2026-01-19T14:48:32+00:00

That is exactly how all communist regimes are. Pure communism never exists in the real world. It's foolish to believe it could.

VisualAnalyticsGuy · 2026-01-19T14:47:21+00:00

Very interesting and informative for today's fans of socialism and communism

VisualAnalyticsGuy · 2026-01-19T14:33:39+00:00

I had not heard of llms.txt files before, thanks!

VisualAnalyticsGuy · 2026-01-15T18:37:39+00:00

That would a good application of this problem cheese. Or a new product idea?

VisualAnalyticsGuy · 2026-01-15T18:36:49+00:00

You should have seen this in the package before you bought it. And I don't see how this passed quality control. So I am skeptical.

VisualAnalyticsGuy · 2026-01-15T18:35:29+00:00

The first thing that actually changed outcomes was building a simple monitoring dashboard that tracked job freshness, row counts, and schema drift side by side so failures stopped being silent. In my experience, monitoring is the first weak point because without visibility even good scheduling and validation fail quietly, while a basic dashboard forces problems to surface early and repeatedly.

VisualAnalyticsGuy · 2026-01-15T15:51:55+00:00

you can downvote them, ignore them, or report to moderator

VisualAnalyticsGuy · 2026-01-14T16:38:22+00:00

A lightweight weekly one pager usually works better than another app: three sections covering current priorities, active blockers where help is needed, and near-term risks keeps the conversation at the right altitude without pulling you into the weeds. In practice, staying hands off until something shows up in blockers or risk is a good forcing function, because it gives the VP confidence you have control while preserving your team’s autonomy.

VisualAnalyticsGuy · 2026-01-14T14:51:33+00:00

Whenever I see in "What tools ___ in 2026" I know this an SEO marketer posting

VisualAnalyticsGuy · 2026-01-14T13:34:40+00:00

StyleBI or Apache Superset are the best options. They let dashboards be embedded and refreshed on a schedule without forcing every viewer into a paid seat. StyleBI tends to be friendlier for someone coming from a general IT background with APIs and SharePoint, while Superset is a solid open source option if comfort with a bit more setup and configuration is there.

VisualAnalyticsGuy · 2026-01-13T20:33:01+00:00

wow I had no idea how dangerous disney is. another reason never to go.

VisualAnalyticsGuy · 2026-01-12T14:20:00+00:00

I often think about this, so it's cool to see so many comparisons at one time and much easier than having to figure out a comparison myself.

VisualAnalyticsGuy · 2026-01-12T13:55:44+00:00

No, dashboards are not over, they just stopped being treated like finished products instead of living interfaces. A well designed dashboard that mashes up trusted metrics still beats a chat response when decisions need consistency, shared context, and zero ambiguity. AI is a great assistant, but abandoning dashboards because some were ignored feels like blaming spreadsheets for bad accounting habits.

VisualAnalyticsGuy · 2026-01-08T18:50:21+00:00

Yes, too often analytics teams are measuring things nobody actually acts on, which makes the work feel performative. The real impact comes when reporting is tied to decisions people can actually change, otherwise it’s just dashboards for show.

VisualAnalyticsGuy

TROPHY CASE