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SAS Text Analytics Helps in Decision Making by Interpreting Stored Documents and Data

March 08, 2010
SAS (News - Alert) Text Analytics is said to have built-in capabilities to automate the processes of document reading and extracting relevant information and can aid organizations in decision making by helping them mine, interpret and structure information from data gathered from social networks, call centers, customer surveys, claims forms and sales returns.
 
There are totally four SAS Text Analytics offerings: SAS Enterprise Content Categorization, SAS Sentiment Analysis, SAS Text Miner and SAS Ontology Management.
 
SAS has claimed that their Text Analytics can help users discover insights from electronic text materials, associate them so they go to the right person or place, and provide intelligence to know what they need to do next – whether it’s answering complex search-and-retrieval questions, ensuring appropriate content is presented to internal or external Web users, or what phrase is predicted to produce the best effect on existing sentiments.
 
Global Analytics Product Marketing Manager at SAS, Fiona McNeill, has said that their customers use text analytics for customer intelligence, risk management and fraud management. Those involved in enterprise content, Web content, document, records and knowledge management, enterprise search, article research and online marketing measurement can easily access and reuse information with SAS Text Analytics.
 
John Elder, CEO of Elder Research Inc has said that Text analytics is the wild west of predictive analytics, with huge potential for gain. SAS Text Analytics provides a rich toolset for solving unstructured text analysis challenges.
 
Patricia Lau, Deputy Head of the Efficiency Unit for the Chief Secretary for Administration’s Office in Hong Kong has said thanked the SAS Text Analytics, because their call center can now extract valuable intelligence from massive amounts of unstructured data. This enables them to be more proactive in addressing problems that matter to citizens. The complaint intelligence system is helping the Efficiency Unit improve public service delivery.

Nathesh is a contributing editor for TMCnet. To read more of Nathesh's articles, please visit his columnist page.

Edited by Kelly McGuire
 
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