Unstructured Data

Unstructured data is generally thought of as the information contained in business documents, and not organized on rows and columns. This might be text heavy documents, but also graphics, photographs, and audio-visual media formats. It represents a huge component of the total information assets within an organization, in fact, Computer World states that unstructured information might account for more than 70%–80% of all data in organizations.


Techniques such as data mining, Natural Language Processing (NLP), text analytics, and content analytics provide different methods to find patterns in, or otherwise interpret, unstructured information. Common techniques for structuring text usually involve manual tagging with metadata for further text mining-based structuring. Unstructured Information Management Architecture (UIMA) provides a common framework for processing this information to extract meaning and create structured data about the information.


Content analytics components can help bring a semblance of structure to unstructured content by enhancing auto-categorization, but when properly applied, these technologies can produce a significant value proposition. This is accomplished through finding correlations and connections between data stores and content objects, that might otherwise be missed. In short, they can be a great help from a corporate intelligence perspective. Content analytics technologies can also help organizations more quickly identify areas of risk and opportunity, thus gaining a competitive advantage. 


Alyx Technologies has the solutions to effectively analyze unstructured information assets, combine that with structured information, and create a dynamic view of an organization's information to better inform the decision-making process.