Send us a text

Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next.

Abstract

Making Data Simple Podcast is hosted by Al Martin, WW VP Account Technical Leader IBM Technology Sales, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

This week on Making Data Simple, we have Mark Van Name (He/Him) 3rd degree connection 3rd Co-founder, Principled Technologies, Inc.

Mark is a technologist, a marketer, a writer, and a spoken word performer, to name but a few of his many passions. Mark is obsessed with doing great work. When his business partner, Bill Catchings, started Principled Technologies in 2003, they gave it a simple existence statement: to do great work for their clients, and to be a great place to work for our staff. They chose the name to help remind themselves to always behave in the best possible ways. More than sixteen years later, they still follow those same fundamental principles.

Show Notes
1:24 – Mark’s bio

5:00 – What is a spoken word performer?

8:28 – What does Principled Technology do?

15:28 – What is your Moat?

18:22 – How did Principled Technology start?

21:14 – Who is your competitor?

30:50 – Where does the learning come in?

35:14 – What is your sweet spot?

Connect with the Team
Producer Kate Brown - LinkedIn.
Producer Steve Templeton - LinkedIn.
Host Al Martin - LinkedIn and Twitter.

Limit your greed

Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Al and Mark Van Name discuss Principled Technologies Moat in reference to audience, usage model, and context 52:10 Share

Making Data Simple

Shownotes Transcript

Al and Mark Van Name discuss Principled Technologies Moat in reference to audience, usage model, and context