Data Restructuring & Informatics Platform (DRIP)

Supporting rapid development and commercialization in Pharma,
Life Sciences and Biotech

Data Restructuring & Informatics Platform (DRIP)

Supporting rapid development and commercialization in Pharma, Life Sciences and Biotech

At a glance

Drug research and testing generate voluminous data from varied sources (patient information, experiment results, and databases). Both volume and different data types make it difficult to ingest, structure, and search them, making it challenging for pharmaceutical companies to utilize their valuable information.

DRIP automates the integration and ingestion of this data, helping build a consolidated database for Biotech, Pharma, and Life Sciences companies to easily utilize their data

What

Automates ingestion of large volumes of data from unstructured and semi-structured sources. Information is then consolidated and structured to user-defined rules. Data can subsequently be analyzed and data visualization supports insights.

Technology

Utilizes proprietary advanced rule-based Machine algorithms, Learning (ML), proprietary pattern recognition algorithms, and metadata comprehension to consolidate and transform data making it accessible for analysis by commonly used data visualization platforms.

Application

Facilitates to easy access to unstructured data to:

  • Visualize and explore vast data
  • Manage, and review current and historic clinical data
  • Identify drug candidates and commercialize products

Drug research and testing generate voluminous data from varied sources (patient information, experiment results, and databases). Both volume and different data types make it difficult to ingest, structure, and search them, making it challenging for pharmaceutical companies to utilize their valuable information.

DRIP automates the integration and ingestion of this data, helping build a consolidated database for Biotech, Pharma, and Life Sciences companies to easily utilize their data

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DRIP Platform Workflow

Semiautomatic restructuring of unstructured data

Exploratory analysis and user defined output

Data review and formatting as per user-defined rules

Transforms source data and maintains strict control over Transformation quality.

Data visualization and exploration using its own extension hosted cloud

Integrates with data visualization Platforms (R/Shiny Spotfire, Tableau,TIBCO,).

DRIP Platform Workflow

Unstructured Clinical Data To Visualized Formats

A visual representation of DRIP’s role and the results achieved by the platform while processing unstructured data in various digital formats.

The DRIP platform advanced ML and proprietary rule-based algorithms streamline ingestion and formatting of data from unstructured or template- driven semi-structured spreadsheets. Its novel use of proprietary pattern recognition algorithms and metadata comprehension generates an accessible database of data that can be easily accessed and visualized.

Unstructured Data

Historical and scattered data in multiple formats

DRIP

Rule-based data formatting and pattern recognition

Structured Data Store (User-defined)

User-defined output visualization and search tool

The Advantage In DRIP-Led Consolidated Databases

Processes historical unstructured data, formats and consolidates into an accessible database to:

Enable easy access to research data and lab results.

Streamline exploratory analysis today and in the future.

Speed product development, resolve issues and commercialization

Visualize Unstructured and Siloed Data to Quickly Resolve Issues.