data science

#015 - Loyalty and Personalization in Healthcare

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Have you ever wondered how consumer expectations are changing the way healthcare payers and providers think about the overall consumer healthcare experience? Wondering how healthcare companies are harnessing data or from wearable devices? Or, maybe you’re wondering how healthcare companies are going to drive innovation in a heavily regulated industry. Wonder no more!

On this episode, I had the pleasure of speaking with Rahul Goyal, Director of Digital Analytics and Personalization at UnitedHealth Group and Tess MacGibbon, Account Director at The Lacek Group about all of this. Well, briefly since we only had fifty minutes. Both guests are incredibly knowledgeable about healthcare which made this a fun and enlightening episode. Listen in as Rahul and Tess provide an insiders perspective on data, personalization and loyalty in the healthcare industry.

show highlights and what you’ll learn…

  • The rise of consumer expectations in the healthcare sector

  • Challenges with personalizing healthcare experiences for consumers

  • How the healthcare industry thinks about personalization and what they’re doing to address today’s challenges

  • How personalization drives loyalty in healthcare; the current state of loyalty and where there are opportunities for innovation

  • Data and analytics talent in the healthcare industry; what UHG is doing to bridge gaps between talent types and the business

  • The future of loyalty and personalization in healthcare

PEOPLE, TECHNOLOGY, AND RESOURCES MENTIONED

Listeners, Before You Go!

Thanks for listening. If you have any questions for me or the guest on this episode, please leave a comment on LinkedIn or Twitter. I’ll get back to you as soon as I can.

If you enjoyed this episode, please leave a review and rate the show in iTunes. Also subscribe so you don't miss any future episodes. 

Your support on social media is also appreciated. Feel free to share this episode and to connect with me on LinkedIn or Twitter via the links below. 

#014 - Into The New Year!

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Since starting the Digital Measure Show in April of last year I’ve released 13 episodes which is a little better than one per month. Not as many as I would have liked but then again it’s not about quantity as much as it is about quality and consistency. If I’m being completely honest, 2018 was truly about learning and getting comfortable behind a microphone. For that, I’m incredibly thankful for my guests (and strong network!) for providing me with wonderful content, their time, and network exposure to help promote this podcast.  

Looking ahead into 2019 I really feel like there’s momentum behind the podcast—I’ve got some incredible guests lined up already and I’m partnering with The Lacek Group to produce a handful of high-quality loyalty and digital marketing episodes.

upcoming topics and guests…

Listeners, Before You Go!

Thanks for listening. If you have any questions for me or the guest on this episode, please leave a comment on LinkedIn or Twitter. I’ll get back to you as soon as I can.

If you enjoyed this episode, please leave a review and rate the show in iTunes. Also subscribe so you don't miss any future episodes. 

Your support on social media is also appreciated. Feel free to share this episode and to connect with me on LinkedIn or Twitter via the links below. 

#007 - Online Learning for Data Science

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Data programming has been a topic of interest of mine for the past year and peaked just a few months ago. I started attending R sessions at conferences to gain as much knowledge as I could and to decide if this was a development track I wanted to pursue. R and Python have been gaining in popularity over the past several years so I thought maybe I was late to the game. Judging by the crowd at these conferences there were a lot of beginners and curious attendees. Maybe I'm not so late after all.

After enough research and conferences, I decided that R was the better fit and aligned well with my career path. So, I scratched the itch. Well, I tried. However, like most people learning something new, I had lots and lots of questions but didn't want to waste anymore time searching for online help. R was incredibly confusing and I was getting nowhere fast, so I switched directions and looked for a structured learning program instead. If there was a logical learning progression for guitar or jiu jitsu, I had decided that there must be one for data programming too.

Turns out I was right...I think. I started out with a free trial from DataCamp but after a couple of weeks I realized that the subscription would save me a lot of time and frustration. 

After making it half way through the intermediate R course I asked Robert Daniel, Chief Sales Officer at DataCamp, to join me on the podcast to talk a little bit about online learning for data scientists. Don't worry, this episode isn't a sales pitch for DataCamp. Because my journey took about a year, I imagine that others are also looking for resources and wondering where to get started. If that's you, listen to this episode. It's intended to be informative and a short listen.

Enjoy and leave a comment below if you have other resources that you'd like to recommend.   

On this episode we discuss the following…

  • Intro to DataCamp and their mission
  • Why online learning has emerged and servicing the data scientist community
  • How businesses are adopting online programs to train their data scientists
  • What DataCamp has learned from learners over the past 4 years and how that’s driving product innovation
  • How DataCamp designs their learning tracks around the way data scientists learn
  • The two main differences between DataCamp and other online learning programs
  •  Continuing your data programming education and available learning tracks

recommended data science resources and mentions

#004 - Startup Analytics with Dennis Still

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I had the pleasure of speaking with Dennis Still, Founder & Chief Insights Analyst at Bigfoot Analytics, on what it takes to be an analyst in a startup or small company. Dennis has worked for larger companies before but has really spent the bulk of his career in analytics at smaller companies. Dennis is a data "hacker" at heart and I really enjoyed getting his perspective on the skill set and passion that's required to survive in a small company as an analyst. 

On this episode we discuss the following…

  • Dennis' journey from social science to data and analytics 
  • What's currently required of analysts today and how expectations have changed over the years
  • Some common client questions and how to navigate the challenging conversations
  • How Dennis sees the difference in startup analytics and enterprise level talent
  • Practical advice for new data analysts entering the field, where and how to find what you're passionate about, and the mentality you have to have when choosing to work at a small company or a startup
  • Dennis' must have data tools and things he does to stay relevant as an analyst
  • We broke out Dennis' crystal ball for a moment and reflected on the future of the analytics industry 

How you can reach Dennis:

Various mentions and topics from this episode: