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Current Solutions for Unstructured Data: Open the Door To Your Organization’s Hidden Knowledge
Cutter Consortium, Feb 2011, Pages: 13
80% of all corporate data is unstructured. Developing the capability to mine unstructured data and apply it to business processes is imperative. But analysis must meet real business needs and coexist with information developed from structured data in data warehouses. Emerging technologies are beginning to make this possible.
Current Solutions for Unstructured Data explores the increasingly powerful techniques being developed for compilation, analysis, combination, and visualization of unstructured data. You'll gain tips for integrating unstructured data into a structured environment, maximizing search solutions, and analyzing unstructured multimedia data.
This report will help you:
- Derive context from data, helping you uncover hidden relationships that can explain underlying causes for complaints, opinion, actions, or sales
- Consider various analysis techniques for unstructured data, such as text mining and analytics, natural language processing, Web content mining, text categorization and classification, and more
- Explore the growth of sentiment analysis on social networks
- Better understand search solutions, such as keyword search, federated search, conceptual search, and multimedia search
- Make information relevant and accessible to decision makers
- Explore text analytics categories, including Word tree, the tag cloud, and a phrase net
This report also identifies and describes 19 text analysis software solutions, such as Attensity, Autonomy, EMC Documentation, Endeca, Exalead, Expert System, and others, including three open source solutions.
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