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Data Product Teams : Best Practices for a Modern Data Team

Tom Tunguz

Data teams are becoming software engineering teams. Like the Devops movement, the Dataops movement aims to scale the use of data within companies without increasing the headcount of the data team. I learned a tremendous amount about the way modern data teams, who leverage software engineering disciplines, operate.

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How Much More Efficient Should a SaaS Startup Be When Using AI?

Tom Tunguz

Sales development, content marketing, & software engineering strike me as the workstreams that will benefit immediately. Engineering 25% 40% 10% Overall - - 13% See assumptions here 1 This thought experiment highlights a few ideas to validate : AI initiatives focused on cost-reduction should start with engineering.

AI 316
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“I Was Seduced By a Build Scenario”: 11 Ways to Avoid This Exec’s Greatest Tech Failure

BetterCloud

“When you begin a project, the software that you are ‘going to build’ always looks better than the software someone else already has because you haven’t yet run into the limitations that inevitably show up in software engineering. As such, we will buy wherever we can,” writes Timothy Campos, former Facebook CIO.

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Being “Product-Led” in 2023 Means Product-Led Sales

Chart Mogul

Slack’s magic in their use of PLG was that they were landing with software engineers in tech companies that were probably 40 to 50% of the overall company headcounts and very influential. In other sectors, that’s not always the case.

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When Does Open Source Make Sense for a Business?

OpenView Labs

Many companies are strategic consumers of open-source software as a means to reduce the burden on their software engineering team to build everything from the ground up. Open source can provide a number of different advantages for a business, on both the consumption and production end of the spectrum.

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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!) for Athena which charges in the manner) Audits and Data Quality: Iceberg brings a lot of software engineering best practices to data engineering.

Data 130
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Lessons learned from growing a PM team in a hyper-growth startup

Point Nine Land

Start early as finding the right PM for your company might take a while (often a few months). Give the candidate ~5 real examples of the kind of things you have to prioritize: customer integrations, feature requests, strategic releases, bugs, database extracts, opportunistic features… and ask them to prioritize. An organizational task.