Jun 22, 2026 · 11 min · 9 segments
In this episode of Bench to Boardroom, we examine why so many biopharma launches fail to meet expectations despite unprecedented access to data, analytics, and technology. Using the lens of the…
Let's begin with a statistic that should make every life sciences executive uncomfortable.
Because approximately thirty-four percent of US biopharma launches miss forecast expectations.
Even more revealing, nearly two-thirds of senior industry leaders, sixty-four percent, attribute underperformance primarily to poor data and analytics.
Now pause for a moment.
We're talking about organizations capable of sequencing genomes, engineering cell therapies, designing antibody drug conjugates, and navigating some of the world's most complex regulatory environments.
Yet many still struggle to accurately predict and execute a commercial launch.
That should tell us something important.
The problem isn't intelligence.
The problem is execution.
And more specifically, the problem is translating information into decisions and decisions into action.
Let's begin with a statistic that should make every life sciences executive uncomfortable.
Because approximately thirty-four percent of US biopharma launches miss forecast expectations.
Even more revealing, nearly two-thirds of senior industry leaders, sixty-four percent, attribute underperformance primarily to poor data and analytics.
Now pause for a moment.
We're talking about organizations capable of sequencing genomes, engineering cell therapies, designing antibody drug conjugates, and navigating some of the world's most complex regulatory environments.
Yet many still struggle to accurately predict and execute a commercial launch.
That should tell us something important.
The problem isn't intelligence.
The problem is execution.
And more specifically, the problem is translating information into decisions and decisions into action.
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