Why Most Companies Should NOT Build a Data Team

Why Most Companies Should NOT Build a Data Team

From The Data Nerd Podcast by Nisar Ahmed

May 14, 2026 · 47 min · Season 3 · Episode 15

About this episode

The episode discusses whether companies should build internal data teams or consider managed analytics as a more efficient alternative.

Do companies really need to build expensive internal data teams anymore? In this episode of The Data Nerd Podcast, Nisar Ahmed sits down with Mikhail Christiansen to challenge one of the biggest assumptions in modern analytics: that every growing company needs to hire a full internal data team from scratch. Mikhail shares why many organizations are spending hundreds of thousands of dollars building data infrastructure, hiring engineers, and implementing tools before they ever generate meaningful business insights. The conversation explores the hidden costs of traditional analytics teams, the risks of bad hires and poor implementations, and why a managed analytics approach may be a faster and smarter path for many businesses. They also dive into how AI is changing expectations around productivity, analytics, and decision-making and why companies that don't modernize their data infrastructure could struggle to compete in the AI era. This isn't about saying data teams are unnecessary. It's about asking whether every company actually needs to build and own one themselves. Tune in to learn: Why many companies overspend building internal data teams The real cost of hiring data…

People in this episode

Host: Nisar Ahmed

Guest: Mikhail Christiansen

Topics covered

  • data teams
  • analytics
  • managed analytics
  • AI impact
  • business insights
  • cost of hiring

Keywords

  • data infrastructure
  • analytics teams
  • business insights
  • AI
  • cost of hiring
  • managed analytics
  • productivity

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