Organizations are realizing that there is valuable information hidden within their legacy files (both paper and electronic) which can now be efficiently identified due to improved methods for extracting metadata. Metadata has several forms and can be located within many areas. For example, in the oil and gas industry, metadata contains information pertaining to fields, basins, geological provinces, etc. In addition to the company, third parties may use or need the metadata - contracting companies, vendors, fabricators and partners.
The importance of accurate and accessible metadata should not be undervalued. Accessible metadata attribution provides end users with confidence that the origin, history, and integrity of each attribute comes from a reliable source. Document metadata is also utilized to populate system profiles for easy end-user access and less end-user copies.
Organizational Challenge
Many organizations struggle to enforce the information management standards, processes or procedural guidance for metadata; often due to cost or resource constraints. However, with the right course of action, companies can unlock the value in previously inaccessible metadata and documents.
There are many metadata challenges that organizations are currently facing today, such as:
Data wrangling services
Data wrangling services support an organization’s drive to digital by extracting accurate and complete metadata from previously inaccessible repositories of information. Furthermore, metadata associations and relationships between document revisions, attachments or mark-ups/comment sheets must be maintained.
Data wrangling solutions demonstrate an intimate understanding of the inherent challenges of digitizing data, as well as a scalable, structured and phased approach to metadata extraction. Metadata extraction utilizes targeted technologies to accomplish data extraction, such as computer vision, machine learning, and text analysis. Additionally, SMEs’ hands-on experience supports organizations drive to digital by maximizing the value of extracted metadata, such as:
Data Wrangling Approach
Metadata extraction and cleansing activities can be customized by defined organizational rules, such as numbering and coding procedures, target system attribution requirements, etc. Data wrangling services would encompass several metadata extracting techniques, such as:
By leveraging domain SME engineering IM knowledge extracted metadata can be processed, mapped and aligned to organizational requirements, such as:
The Result
The ability to extract rich and searchable data from previously inaccessible repositories can transform the way a company operates. Implementing data wrangling services can lead to:
Janine Murray
Consulting Practice of Energy, Natural Resources, Utilities and Engineering & Construction
Janine Murray is an IM Consultant with over 15 years of experience in the O&G industry. She has extensive FE/Operations and Major Capital Project (MCP) Information Management experience. She also has deep experience with IM brownfield modifications, greenfield enhancements, MCP joint ventures, Closeout, and MCP handover to Operations. Additionally, she is experienced with document cleansing and data extraction techniques for digitizing O&G legacy assets.
She can be reached at: janine.murray@wipro.com