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Data Product Teams : Best Practices for a Modern Data Team

Tom Tunguz

Data teams are becoming software engineering teams. On December 14th we welcomed Philip Zelitchenko , VP of Data from ZoomInfo, to talk about how he has built this discipline within his team & it was fascinating. Unlike code, data is stochastic or unpredictable. Data may change in size, shape, distribution, or format.

Data 266
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How Quickly Does Headcount Scale in the Fastest Growing Software Businesses?

Tom Tunguz

In fact, this data bolsters the notion that management team’s top priority is recruiting, especially after the business has reached product market fit and capitalized itself well. Above, I’ve charted the headcount growth rate for 10 of the fastest growing software companies in recent history. They start around 25 people.

Headcount 187
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Top 10 Unexpected Learnings from Scaling Wiz From $0 to The First $100M ARR with founding CRO Colin Jones and Sam Blond

SaaStr

He actively approached the CEO to push for dramatically higher targets and accelerated headcount expansion beyond the original plan. This simple yet powerful signal helped Wiz respond to market opportunities more quickly than competitors relying on processed data that might be weeks old.

Scale 185
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Napoleon's Influence on the Modern Data Stack : hyperdimensional Analysis with Malloy

Tom Tunguz

Data visualization is a passion of mine. Napoleon’s March encodes 6 : the geography of the terrain, the route & the direction of the army, the headcount of the troops, the temperature of the battlefield, & the time of year of Napoleon’s doomed quest to conquer Russia. We’re in the Decade of Data.

Data 283
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The 40% Problem: Do Your Sales Reps Really Cover All Their Accounts? And Is AI The Answer? With Yamini Rangan, CEO HubSpot

SaaStr

Your sales reps are drowning in tasks that have nothing to do with selling: Data entry and CRM hygiene Proposal generation and customization Meeting scheduling and follow-up coordination Lead qualification and research Activity logging and reporting Contract management and renewal tracking All necessary. It’s administrative quicksand.

Scale 256
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AI and the Future of Enterprise: A SaaStr Deep Dive with Marc Benioff

SaaStr

The Four-Layer Enterprise Stack Benioff’s vision for the enterprise stack of the future: four integrated layers: 1) Apps (still critically important), 2) Data (more important than ever), 3) Agents (the AI layer), and 4) Robotics (the emerging physical manifestation layer). The data is more important than ever.

AI 248
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Overwhelmed IT team? How to scale without adding headcount

BetterCloud

The traditional response advocating for increased headcount while sometimes necessary, is often met with budgetary constraints and a desire for greater operational efficiency. So, how do we reconcile this growing disparity? The answer lies squarely in a strategic and comprehensive embrace of automation.