High Tech — Document Data Extraction Automation Pipeline

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This DAG automates the extraction of data from various document formats, enhancing operational efficiency. It ensures data accuracy through validation and quality control processes, providing valuable insights for decision-making.

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Overview

The purpose of this DAG is to automate the extraction of data from diverse document types, including PDF and HTML formats, which is crucial for organizations in the high-tech industry. The ingestion pipeline begins with the collection of documents from multiple sources, such as internal repositories and external websites. These documents are then processed using Intelligent Document Processing (IDP) techniques to extract relevant data points. The extraction process includes normalization of the

The purpose of this DAG is to automate the extraction of data from diverse document types, including PDF and HTML formats, which is crucial for organizations in the high-tech industry. The ingestion pipeline begins with the collection of documents from multiple sources, such as internal repositories and external websites. These documents are then processed using Intelligent Document Processing (IDP) techniques to extract relevant data points. The extraction process includes normalization of the data to ensure consistency and compatibility with existing databases. Quality control measures are implemented throughout the pipeline to validate the accuracy of the extracted information, which is essential for maintaining data integrity. Key performance indicators (KPIs) such as extraction accuracy rate and extraction time are monitored to assess the effectiveness of the pipeline. The outputs of the DAG include structured data sets that can be utilized for further analysis, reporting, or integration into knowledge portals. The business value lies in the significant reduction of manual data extraction efforts, increased accuracy of information, and the ability to derive actionable insights from large volumes of unstructured data, ultimately enhancing decision-making processes in the high-tech sector.

Part of the Knowledge Portal & Ontologies solution for the High Tech industry.

Use cases

  • Reduces manual data processing time and effort
  • Enhances data accuracy for better decision-making
  • Facilitates compliance with industry standards
  • Improves operational efficiency across departments
  • Enables quick access to critical business insights

Technical Specifications

Inputs

  • Internal document repositories
  • External websites with relevant documents
  • PDF files containing technical specifications
  • HTML documents from product manuals

Outputs

  • Structured data sets for analysis
  • Validated data reports for stakeholders
  • Normalized data ready for integration
  • Quality assurance logs for compliance

Processing Steps

  1. 1. Collect documents from specified sources
  2. 2. Extract data using IDP techniques
  3. 3. Normalize extracted data for uniformity
  4. 4. Apply quality control checks on data
  5. 5. Generate structured outputs for further use

Additional Information

DAG ID

WK-1029

Last Updated

2025-02-20

Downloads

46

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