Turning Data into Dollars: The Data Enrichment Process
Adlib offers the data-enrichment solutions needed to catalyze digital transformation, drive maximum profitability and efficiency, and power better business outcomes for energy, utility, and oil and gas enterprises.
DIRTY DATA
Digital and paper-based documentation flows into the organization from a range of locations and in a variety of formats—from paper and digital files to snail mail, email, and more.
CAPTURE
Enterprise Capture capabilities for digital-based content allows for the ingestion and enrichment of large volumes of unstructured data from various sources.
Business-critical documents are transformed into process-ready data.
Document-Centric Processes Are Automated
CONVERSION
Enterprise document-to-PDF capabilities are leveraged to automatically convert documents into text-searchable, ISO-friendly PDF/A assets.
The identical format, layout, and content of the original documents is left intact.
Knowledge Workers Operate at Peak Capacity
Key Insights Are Identified & Leveraged
CLASSIFICATION
Advanced text analysis and intelligent data identification are leveraged to classify document types and extract related metadata.
All documents are routed into the appropriate workflows, analytics engines, and/or repositories.
Maximum Efficiency & Profitability is Achieved
DIRTY DATA
The millions of unconsolidated and historical documents that exist across the organization—from land lease agreements to permits to drill, authorizations to transport, well logs, and more.
CAPTURE
Enterprise Capture capabilities for digital-based content allows for the ingestion and enrichment of large volumes of unstructured data from various sources.
Business-critical documents are transformed into process-ready data.
CONVERSION
Enterprise document-to-PDF capabilities are leveraged to automatically convert documents into text-searchable, ISO-friendly PDF/A assets.
The identical format, layout, and content of the original documents is left intact.
CLASSIFICATION
Advanced text analysis and intelligent data identification are leveraged to classify document types and extract related metadata.
All documents are routed into the appropriate workflows, analytics engines, and/or repositories.
- Document-Centric Processes Are Automated
- Knowledge Workers Operate at Peak Capacity
- Key Insights Are Identified & Leveraged
- Maximum Efficiency & Profitability is Achieved