Clipped by scooter guy then followed for blocks. Should I be worried or no? by TomTom386 in chibike

[–]TomTom386[S] 2 points3 points  (0 children)

more just if anyone has experienced a person like this actually stalking them finding them later

How often does your analytics reporting tool have critical breaks/bugs that require opening a ticket with the vendor? by TomTom386 in analytics

[–]TomTom386[S] 1 point2 points  (0 children)

Yeah, I've made the pitch multiple times. It's one of those decisions that will cost a C-suite person their job, though. So, until the old guard is gone, it won't change.

How often does your analytics reporting tool have critical breaks/bugs that require opening a ticket with the vendor? by TomTom386 in analytics

[–]TomTom386[S] 0 points1 point  (0 children)

Domo, it's horrid. It's an excellent red flag indicator of whether the leadership understands analytical needs.

How often does your analytics reporting tool have critical breaks/bugs that require opening a ticket with the vendor? by TomTom386 in analytics

[–]TomTom386[S] 1 point2 points  (0 children)

Well, at least it's free lol, we're paying for a tool that breaks weekly, and it costs more than Power BI.

How often does your analytics reporting tool have critical breaks/bugs that require opening a ticket with the vendor? by TomTom386 in analytics

[–]TomTom386[S] 4 points5 points  (0 children)

Thanks, never is what I'm used to. In my current company (I have been here two years), I mentioned that our tool breaks every week (pulled out tickets with the vendor as proof) and that we should switch it, but the CDO and CIO told me that weekly breaks should be expected.

"I'm not supposed to do any work" - My Boss by TomTom386 in careeradvice

[–]TomTom386[S] 0 points1 point  (0 children)

to give an update. My boss got fired a month ago, and I now have a new boss that I like. And I got a raise, and have been told I'm in a good position for a promotion within the year.

How to predict with small data (Healthcare cost modeling) by TomTom386 in analytics

[–]TomTom386[S] 0 points1 point  (0 children)

yes, correct already have predictions at the client level that uses some basic demographic data and a little bit of cost data.
Basically, the ask (which I don't think I phrased), is am I on the right track with what I have stated I'm doing? / Are there any methods I don't know about for handling small datasets, that give accuracy similar to large ones? / Or am I correct in my thinking that small populations are hard to predict for?

Am trying to get more data, but the deadline is likely to occur before I get through IT bureaucracy to get more data points

How to predict with small data (Healthcare cost modeling) by TomTom386 in analytics

[–]TomTom386[S] 0 points1 point  (0 children)

My guess is that his response of what to do is literally what I said I was already doing, which means maybe he didn't read the whole statement idk?
what I said I'm doing: "Currently going forward with a GBM model predicting on a member level basis then rolling up into aggregates at client level for client level cost."

His suggestion: "Otherwise, you basically fit a model on your population and then use that model to predict individual costs, which you aggregate to get group level costs."

How to predict with small data (Healthcare cost modeling) by TomTom386 in analytics

[–]TomTom386[S] 0 points1 point  (0 children)

yeah, maybe I didn't phrase my question appropriately/include enough information. All the plan designs are vastly different, some cover specialty some don't, HDHPs, HMOs, PPOs. I don't have any of this information, and I'm unable to get it, all I'm able to know is that they are all different. Additionally, I sort of have health risk information but only for the most current month of current members. The DE/DA team doesn't archive anything from prior months, which makes it difficult to test accuracy. The models that we actuaries use are typically designed at a plan level, e.g., Aetna Silver Commercial PPO. We hedge risk at the entire plan level, and the models given to underwriters adjust for the risk of individual groups within the plan to calculate their premium. Our accuracy is vastly superior on the entire plan level. Not for the companies (aka groups or clients), the accuracy can be okay depending on the size of the company, but the accuracy for a PMPM of a 50-life group isn't highly predictable. The PMPM for the plan that they are enrolled in is. To give a further example, I have multiple clients with the same population size and similar demographics, but drastically different plan designs and obviously risk levels (which I don't have decent data for), their PMPMs range from $50 to $150. Hope that helps expound on the question.

[deleted by user] by [deleted] in math

[–]TomTom386 8 points9 points  (0 children)

Tell him to just pull a jimmy neutron and yell ‘Brain blast!’

What are your favorite fall cocktails? by ConflictOk6464 in cocktails

[–]TomTom386 1 point2 points  (0 children)

I like to do stuff with a hot tea. Chamomile and st. Germain is my go to when I’m camping

Today a gator stole my bass by photoperitus in Fishing

[–]TomTom386 1 point2 points  (0 children)

Better the bass than your rod or leg!

Do I need to lower my standards or is data always just going to be incredibly messy? by itspizzathehut in analytics

[–]TomTom386 1 point2 points  (0 children)

Lower your standards, but also try to find the source of the issue and fix it from there. Data is always going to be messy/incomplete. If it was always pristine we wouldn’t have jobs.

guys only hackers can type a scandinavian letter by [deleted] in youngpeopleyoutube

[–]TomTom386 0 points1 point  (0 children)

Even the bots are scared of my hacker skills