How much knowledge is hidden in electronic documents in your organisation? Can you identify the people who keep your organisation’s valuable resources of know-how and experience? If you are sure you can answer these questions then you have made a good start toward a knowledge management strategy. If however your business is like most organisations you may not be so sure.
At Docland Software, we know that good technology can only ever be one part of a Knowledge Management Strategy, but better software solutions aligned with your strategic goals can facilitate greater capture, discovery, use and retention of one of your most valuable organisational resource – knowledge.
Most organisations have growing libraries of electronic documents and many on-line businesses have high volumes of unstructured information flowing into their systems from user interactions or social media. Traditional methods of searching and storing this information can address the immediate operational needs of a company, but searching, structured filing or simple tagging of content often obscure real insights behind inflexible retrieval methods.
Statistical Content Analysis provides a means to unlock the insights buried in document libraries and flowing streams of information such websites, blogs, news-feeds, social media and customer comments or other feedback.
At its simplest, Statistical Content Analysis can help you find different versions or formats of the same document – for example, a PDF generated from an MS Word document will have an identical statistical fingerprint to its original document. Drafts and re-drafts of documents will have statistical characteristics that indicate the magnitude of changes between drafts – so you can identify documents by “similarity”.
When coupled with a knowledge base, statistical content analysis can provide insight into the topics or sentiments contained in a document, can flag unexpected content, and even identify topics that are emerging or fading from dynamic sources.
Docland’s ComparaSense™ technology implements statistical content analysis to deliver powerful topic based visualisation and discovery for unstructured information. A flexible and powerful indexing process coupled with a domain knowledge base enables ComparaSense™ to automatically categorise information and deliver reports and visualisations based on known or unidentified topics, and initiate workflows or trigger events.
Deployed as a desktop application or in a variety of other server or enterprise configurations, ComparaSense™ can scan and monitor unstructured information as it evolves, and deliver its insights to organisational platforms such as SharePoint or Lotus Domino.