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How to Do Even More With Mixpanel Data
Mixpanel gives you brilliant product analytics. Funnels, retention, user journeys. You can see exactly what users do in your application. But as teams mature, they start asking questions Mixpanel can't answer on its own. Which users generate the most revenue? Which marketing campaigns drive engaged customers? How does feature usage correlate with support tickets or churn risk? The most valuable insights come from connecting Mixpanel data to the rest of your business. That's what becomes possible when you extend Mixpanel with a warehouse-first approach.
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How to Scale Mixpanel Data Efficiently Without Spiralling Costs
Your product's growing. More users, more events, more insights flowing through Mixpanel. That's exactly what you want. The problem? As your Mixpanel event volume increases, your data infrastructure costs often grow faster than your revenue. High-volume, append-only event data breaks traditional ETL pricing models. Every duplicate event costs money. Every unchanged property gets billed. Growth becomes a financial penalty. There's a smarter way to handle event data at scale.
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Three Things Every Data Leader Should Kill Before Building Another Dashboard
Most organisations are drowning in dashboards that no one trusts. In this Data Matas episode, former Worldpay and FIS data leader Phil Thirlwell explains why the key to better decisions isn’t building more it’s stopping first. He breaks down how dashboard sprawl, KPI overload, and service-desk habits create chaos, and how treating dashboards like products can rebuild trust. Phil shares practical ways to simplify metrics, prioritise outcomes, and run data teams with purpose. The takeaway: fewer dashboards, clearer decisions, stronger alignment between data teams and the business.
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BI Has the Worst ROI in the Modern Data Stack – How to Escape the Service Trap and Drive Real Decisions
Business intelligence is broken. Too many dashboards, not enough decisions. Learn from Count CEO Ollie Hughes how to escape the BI service trap, rebuild trust, and drive real impact through operational clarity and prioritisation.
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How Hypebeast Reached 97% AI Adoption Without Fear or Layoffs
At Hypebeast, 97% of staff now use AI daily not out of fear, but choice. Director of Data & AI, Sami Rahman, reframed AI as a creative ally, not a threat. By focusing on practical wins, like speeding up research and cutting drudgery, he built trust and curiosity. Instead of pushing tools, he created demand through scarcity, measured impact rigorously, and deleted underused agents without sentiment. The result: adoption that stuck, creativity that flourished, and teams that saw AI as empowerment, not replacement. A playbook for leaders who want AI adoption to last built on trust, not hype.
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