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Conference

A beginners guide to Tableau Conference – 2019 edition

The Tableau Conference was held at the Mandalay Bay Convention Center this year (and will be again next year in 2020). I had the opportunity to attend (several weeks ago) and decided to write up my thoughts about it.

This is an introverted newbie’s guide navigating the conference.

The conference started on Tuesday with pre-conference sessions that you had to register (and pay for). I did not attend those.

Tuesday night there was a big welcome reception that I very nearly bailed on because of how many people there were, but I decided to give it a shot anyway. I’m glad I did.

The welcome reception (as well as all of the meals) were held in the data village (basically the convention show floor) which was a little weird but it worked.

In the reception they had industry specific areas (healthcare being one of them). I didn’t know this going in … I just kind of stumbled into it.

This was the luckiest break I could have had as I sat there there entire night and met about 10 people. Three of them (Josh, Kerry, and Molly) I spoke to the most, so much so that we decided that we’d go to the ‘ Data Night Out’ (the client party) together.

Being super introverted this was not my jam, but I’m glad I went, and I will go again next year.

Each day is jam packed full of sessions. I didn’t come across any sessions that were not worthwhile, although some were better than others.

You do have to register for the session in order to gain admittance to the room (they scan your badge to make sure you belong) but there seemed to be stand by room in most of the sessions I attended.

Keynote events

There are ‘Key Note’ events to kick off each day. They happen in the Mandalay Bay events center, but there is also an overflow room you can watch them from.

I would recommend going to at least one event in the events center, but as an introvert the overflow was really more my speed. A room that could sit 500 people with only 50 in it … yes please!

Iron Viz

A take on Iron Chef, Iron Viz was a chance for 3 Tableau wizards to showcase their skills with Tableau and a shared data set. It was really interesting to see the different ways that the data could be presented and the different stories that each competitor told for their visualizations.

Data Night Out

I didn’t do this, mostly because by Thursday I was pretty overwhelmed and just needed a quite night in. I don’t regret not going, but I think I will make myself go next year

Data Culture

I’m going to write more on this once I get my head really wrapped around it, but suffice it to say, this is something that I think is going to be very important going forward for the organization I work for.

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Conference HIMSS

HIMSS Day 1 Impressions

I was able to make it to 5 educational sessions today. And the good thing is that I learned something at each one. I think the highlight of the day for me was actually my first session titled, Stacking Predictive Models to Reduce Readmissions.

A couple of key things from that presentation was the idea of focusing on a patient that readmits, not just from a clinical perspective, but from a human perspective. There were lots of technology that they used to help the care coordinators identify who was going to readmit, but the why of the readmission was always done via human interaction. I think that may be the single most important thing to remember.

Something else that was mentioned was that the grou got their tool out quickly instead of trying to be perfect. It went through a couple of iterations in order to get a tool that was usable by all their various clinics.

Some other key takeaways from today:

  • We need to focus on Augmented Human Intelligence instead of Artificial Intelligence (from How Machine Learning and AI Are Disrupting the Current Healthcare System)
  • Don’t treat Cloud Service Providers as Plug and Play vendors (from HIPAA and a Cloud Computing Shared Security Model)
  • Creation of a committee of ‘No’ to help flesh out ideas before they are implemented (from Intrapreneurship and the Approach to Innovation From Within)
  • Think about how to operationalize insights from data, and not just explore the data (from Beyond BI: Building Rapid-Response Advanced Analytics Unit)

That’s a wrap on day 1 at HIMSS. Day 2 looks to be just as exciting (meet with some vendors, attend some more educational sessions, go to a sponsored luncheon).

Categories
Conference Healthcare HIMSS Travel

HIMSS 2017 – Day 0

I'm in Orlando for HIMSS17 and and pretty pumped for my day one session tomorrow which is titled: Business Intelligence Best Practices: A Strong Foundation for Organizational Success.

Conferences are always a bit overwhelming, but this one is more overwhelming than most. More than 40,000 people all gathered in one convention center to discuss Healthcare Tech. Kind of awesome and scary!

I'm looking forward to visiting some booths in the exhibition hall, and wandering around and stumbling onto some great new things / ideas.

I'm going to write up my impressions of the days events, hopefully including notes, and links to tweets because the tweets will be raw and most uncensored impressions of what I'm seeing / hearing.

Here's the HIMSS 2017!