Venture capital is not the public markets. But that hasn’t stopped LPs from trying to apply public equity frameworks to private market investments -with mixed results. The instinct is understandable. LPs are under pressure to quantify risk, compare strategies, and justify allocation decisions to committees that think in benchmarks and…
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Why Startups Still Don’t Understand Unit Economics (and What Investors Should Ask Instead)
Every pitch deck in 2025 claims the same thing: “our CAC is efficient,” “we have high LTV,” “our payback period is sub-12 months.” On paper, it looks great. In practice, it rarely holds up. Startups are still fundamentally misrepresenting (or misunderstanding) their unit economics. The buzzwords survived the market correction.…
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The Real Cost of “Free” Dashboards: Why BI Waste Is Still Out of Control in 2025
The modern data stack promised us self-serve reporting, cheaper tools, and faster time-to-insight. And on paper, it delivered: dashboards are everywhere, Looker licenses are discounted, and nearly every startup claims to be “data-driven.” But the illusion of progress is masking an uncomfortable truth: business intelligence waste in 2025 is just…
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Why Data Teams Need to Think Like Product Teams
Most data teams operate as internal service providers, responding to requests for reports, dashboards, and analytics. But this reactive model limits impact, increases inefficiency, and often results in data outputs that go unused. To drive real business value, data teams need to shift their mindset, not just fulfilling requests but…
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Stop Overcomplicating Your Data Stack: Why More Tools Won’t Solve Your Problems
When businesses struggle with data, their first instinct is often to add more technology. New BI platforms, additional data lakes, another ETL pipeline-each tool promises to solve existing challenges. But instead of simplifying operations, these tools often create more complexity, higher costs, and a fragmented data strategy that delivers little…
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The Hidden Costs of Bad Data: How Poor Data Quality Is Draining Your Bottom Line
Companies invest heavily in business intelligence, analytics platforms, and data driven decision-making. Yet, bad data quietly erodes value behind the scenes, leading to flawed insights, wasted resources, and missed revenue opportunities. The impact of poor data quality is rarely quantified, but research suggests it costs organizations millions annually. From duplicate…
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Data Driven Decision Making: Are You Actually Doing It or Just Saying It?
Every company claims to be data driven. It’s become a corporate mantra used in investor calls, marketing materials, and leadership meetings. But when you look closer, many organizations still operate on gut instincts, internal politics, and outdated assumptions. The reality is that being data driven requires more than just having…