The data integration challenge: Is your “more-data” strategy holding you back?

You already have the data. You just can’t connect it.

You already own the genomics results, clinical records and licensed data. What’s missing is the connection between them, so decisions mean pulling data by hand. A rival with similar sources moves faster. Wait, and someone else gets there first.

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Pulling, cleaning and cross-referencing data is so complex and time-intensive that you need separate people, whole teams, just to take care of it.”
Solutions architect
The Data Integration Challenge, Digital Science, 2026

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You struggle to turn fragmented pharma and biotech data into decisions the business can act on and defend.

  • Research and data leaders who need conclusions that hold up to a regulator
  • Data architects and integration specialists who spend more time preparing data than analyzing it
  • Discovery scientists who’ve re-run experiments because they couldn’t trust the original data

What you’ll discover

Five reasons connected data outperforms more data

  • How to spot the data you already own but have never connected
  • How to cut the up to 90% of research hours lost to manual data prep
  • How to close the vocabulary gaps that cause duplicated work
  • How to make an AI-derived conclusion hold up to a regulator
  • How to turn a new finding into an answer before a rival does
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