Remove Healthcare Remove SQL Remove X-functional
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The Where, When, and How of AI with Theory Ventures, Open AI, MotherDuck and Lamini

SaaStr

It’s easier for someone who isn’t as sophisticated with SQL because they can ask questions of their data without the 3-6 month learning curve beforehand. You need a strong point of view on how your product will save x company money or solve their pains. The necessity of balancing security and functionality.

GTM 122
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The Playbook to Building a Thriving Sales Culture with PatientPop SVP of Sales Justin Welsh (Video + Transcript)

SaaStr

It’s an SMB SaaS company in the healthcare technology vertical. I used to think that I could go into healthcare and pull a med device rep who was selling million dollar towers on a six-month sales cycle. I have a young man on my a sales operations team who wanted to do SQL data analysis. Hey everyone, is this thing on.

Quota 132
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SaaStr Podcast #348 with Dataiku Chief Customer Officer Kurt Muehmel

SaaStr

And honestly, for a lot of our customers, I mean, at Dataiku, we work with mostly large enterprises, Fortune 500, Fortune 1000 companies, but across all sectors, right, from financial services to retail, CPG, as well as healthcare, pharmaceuticals, manufacturing, et cetera, so really quite a bit across the board.

Customers 116