Focus Area: Business IT and Analytics

Contact

Donna Cahill
dcahill@immersioninc.com
202-821-3494

Immersion, a Service-Disabled Veteran-Owned Small Business (SDVOSB), provides innovative business and advanced technology solutions for its federal government clients. Immersion’s technology capabilities focus on Cloud Management, Data Management and IT Support. Immersion’s mission is to provide tangible solutions that create long lasting client value.

Data Integrity Drives Empowered Decisions

Problem Statement:

In 2022, USCG’s Data Readiness Task Force (DRTF) was established to improve data quality and decision-making at USCG. Immersion anticipates – based on our federal client experience – that a significant amount of USCG’s data may reside in legacy PDFs, text reports, and other semi-structured and unstructured formats that are difficult to query at scale making manual extraction slow and error prone. This data environment creates inconsistent datasets that undermine data analytics, and accurate reporting. In addition, insufficient tracking makes it difficult to trust the data and it can compromise downstream decisions.

Technology Solution Statement:

  • Provide an automated, multi-source ingestion engine to fuel high-fidelity digital twin simulation with comprehensive historical and real-time context for the USCG at Base Elizabeth City.
  • Apply Altair Monarch-based PDF ETL using reusable trapping/models, including Regex-driven pattern recognition, to reliably convert legacy reports into structured rows/columns.
  • Extract and normalize data from PDFs/text; cleanse, standardize, transform, and combine disparate datasets for enriched analysis.
  • Capture metadata for traceability (e.g., source and context) to support validation and auditability.
  • Package outputs for analytics workflows (e.g., data prep/BI/automation).

Benefits Statement:

  • Reduces errors and enhances operational efficiency because higher data quality eliminates inconsistencies, identifies missing values and ensures data accuracy before analysis.
  • Increases trust through traceability and lineage, supporting validation and defensible analytics.
  • Converts legacy PDF/text records rapidly into analytics-ready structured datasets, reducing manual effort and re-keying.
  • Provides more consistent, repeatable extraction using Regex pattern-based templates that scale across large document collections and format variation.
  • Creates a path toward advanced ecosystem tools like digital twins, digital threads, dashboards, data products and integrated networks.