Metadata and summaries for archiving
Archiving requires descriptive metadata: author, date, subject, keywords, summary. That entry comes at the end of the cycle, when the document has stopped being useful to its author, so it is rushed or put off. Archives then become hard to use and retention obligations rest on approximate filing.
The automated workflow
A structured process for fast, reliable results.
Selecting documents to archive
Documents reaching the end of their life cycle are identified, automatically or manually.
Analysis and extraction
Content is analysed to draw out descriptive information: subject, authors, key dates, entities mentioned.
Metadata generation
A complete descriptive record is produced: summary, keywords, category, retention period, confidentiality level.
Enriched archiving
The document and its record are transferred to the archiving system, ready for search and retrieval.
Tangible results
Up and running in 3 to 4 weeks
From specification to deployment, with visible results from the first few weeks.
Frequently asked questions: Metadata and summaries for archiving
More workflows: Document Management
Automated classification and indexing
Filing incoming documents is a repetitive task: categorise, name, tag, store. Everyone applies their own logic, so the folder structure fragments and finding a document later costs more than filing it did.
Semantic search across document bases
Keyword search means guessing the vocabulary the author used. Employees rephrase, scroll through pages of results and end up asking a colleague, which takes two people to find a file that already exists.
Summarising long documents
Annual reports, sector studies and technical manuals far exceed the reading time decision-makers have. Useful information stays inside the document, and decisions are made on what people believe it contains.
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