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Veeva: The Biggest Vertical SaaS Success Story of All Time (Video + Transcript)

SaaStr

I was a software developer, a product person. Jason : You resisted that, and then usually there’s another time, as you start to scale, whether it’s 20 million, 30 million, when you want to get ahead of the curve, and also sometimes your inefficiencies increase, right? I specifically didn’t want to be a CEO.

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3 Unusual Drivers of Early-Stage Growth

OpenView Labs

I saw this as a client partner and then regional managing director at an eBusiness firm that scaled from 0 to 2,000 people in three years, organically. The same was true when I ran the People function at a software development consultancy that doubled its headcount to ~100 while reducing attrition from 40% to 5% voluntary in 18 months.

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How Stack Overflow Harnesses the Power of Flexible Leadership

OpenView Labs

Take Stack Overflow , the world’s largest software developer network, community, and platform, serving close to 100 million monthly visitors. It made sense for us to start in the enterprise, because we already had a community and a platform that was operating at the scale of 100 million monthly visitors, so—why not?”

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Mental Models to Help You Grow

Sales Enablement, SaaS and Growth

One of the biggest challenges businesses face when they grow is scaling effective , autonomous and quick decision-making. Again, it was an easy to use model which scaled effective decision-making. Economies of scale. Jobs to be Done Theory The Jobs to be Done Theory was developed by Clay Christiensen of Harvard Business School.

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“I Was Seduced By a Build Scenario”: 11 Ways to Avoid This Exec’s Greatest Tech Failure

BetterCloud

“While IT services such as applications development and deployment and project-oriented services will be the largest category of spending in 2017 ($275 billion), software purchases will experience strong growth (7.9% Additionally, research shows that in 2015, only 29% of in-house software development projects succeeded.

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Tabular: Turning Your Data Swamp into a Data Lakehouse with Apache Iceberg

Clouded Judgement

If you don’t want to manage all of the infrastructure around Iceberg (plus allocating headcount to do this!) One key component of a modern cloud-native data architecture is the data lake - which allows for cost-efficient storage of large amounts of data used for analytics and ML at scale.

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Serious About Customer Success? Your CRM is Not Enough!

ChurnZero

They enable proactive engagement by helping you organize, automate and scale your processes at every part of your customer lifecycle. In fact, they allow your team to manage more accounts without the need to increase headcount. . For most Customer Success workflows, CRMs require custom software development.