Overview

FlatworldEdge deployed a sophisticated text-mining algorithm to extract structured data from the biotech company's heterogeneous documents. The client struggled with inconsistency across their clinical trial protocol documents from different global locations.

The outcome was a digitized, searchable database, simplifying content discovery and aiding in the development of advanced analytics solutions.

Story of the Customer

The client is a globally recognized biotech company involved in drug manufacturing and research. They faced challenges in extracting structured information from diverse research documents for advanced analytics.

The client needed a solution for efficient data extraction from text documents to facilitate easy searching and advanced analytics.

The Challenge

  • The foremost challenge was the lack of uniformity in the structure, content, or style across the clinical trial protocol documents prepared in different parts of the world.
  • Extracting structured information from these diverse, free-text documents for rapid searching and advanced analytics was a major obstacle.
  • Challenge in consolidating and digitizing key information from thousands of documents into a single file.

The Solution

  • FlatworldEdge developed an advanced algorithm that proficiently extracts key data from diverse, unstructured clinical documents.
  • Consolidated and digitized extracted information into a single, searchable file for easy access.
  • Facilitated the creation of superior analytics solutions, enhancing the success rate of experiments.

The Result

  • FlatworldEdge successfully digitized vast free-text documents, enhancing data manageability and accessibility.
  • The structured data fostered the development of advanced analytics for intricate research analysis.
  • The system ensured a 95% accuracy rate in data extraction, improved case detection, and offered a user-friendly interface.