Custom Text-Mining Algorithm for Biotech Firm

The Brief

• Client Profile: The client is a globally recognized biotech company involved in drug manufacturing and research. They faced challenges in extracting structured information from heterogeneous research documents for advanced analytics and needed an efficient solution for extracting data from text documents.
• Industry Domain: Biotechnology Industry.
• Challenges Faced: The primary challenge was the lack of uniformity 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 proved to be a major obstacle. The client also found it challenging to consolidate and digitize essential information from thousands of documents into a single file.
• Project Objective: The client's objective was to efficiently extract structured data from text documents, facilitate easy searching, and develop advanced analytics.

The Solution

Backoffice Pro developed an advanced algorithm that proficiently extracts key data from diverse, unstructured clinical documents. The company consolidated and digitized the extracted information into a searchable single file, providing easy access. This facilitated the creation of superior analytics solutions, enhancing the success rate of experiments.

• Advanced Data Extraction Algorithm: Utilized sophisticated algorithms for precise data extraction.
• Data Consolidation and Digitization: Streamlined and digitized extracted information for efficiency.
• Enhanced Analytics Solutions: Enabled superior analytics capabilities through improved data handling.

The Outcome

Backoffice Pro effectively digitized extensive free-text documents, greatly enhancing data manageability and accessibility.

• Backoffice Pro 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.

Financial Advancements

The efficient data extraction and consolidation improved analytics and resulted in high accuracy, indirectly improving productivity and reducing time spent on data handling. This eventually resulted in a reduction in the overhead and higher profit margins.