Manually wading through document archives to answer questions is slow and costly. Yet within these unstructured, textual data archives, potential treasure awaits from valuable insights on customer activity to improved operations and more. New SAS Industry Taxonomy Rules starter kits, announced today by SAS, the leader in business analytics , improve the time to value from the automatic classification of unstructured, textual data and from text analytics efforts as a whole.
By providing much of the foundational product and service definitions, these prebuilt industry taxonomies -- add-ons to SAS Enterprise Content Categorization -- cut the implementation time for text analytics from months to weeks.
With the starter kits, implementation teams can focus on building more complex rules for the organization's document collection, classification and analysis. In the process, they can help decision makers quickly find the information they need in text data to respond to opportunities and issues and make better business decisions.
"A taxonomy defines the classification of documents into different categories, and when you build a taxonomy, you need to create rules to accurately classify your documents," said Fiona McNeill, SAS Global Text Analytics Product Marketing Manager. "Building taxonomies from scratch can be daunting. But with the new SAS Industry Taxonomy Rules starter kits, organizations get a jump start, and can move more quickly from document and text chaos to value and insight from their unstructured data."
SAS Industry Taxonomy Rules starter kits will be available in more than 30 languages and target major industries such as banking and financial services, retail, health and life sciences, and automotive manufacturing. Built on years of SAS text analytics experience working with customers in every major industry, the new starter kits will help organizations streamline categorization initiatives.
The new starter kits include SAS-defined starter rules and baseline definitions from WAND Inc. to offer plug-and-play capability.
"SAS taxonomies offer attributes and attribute values in addition to concepts and terms," said Ross Leher, CEO of WAND Inc. "The difference in clarity is like night and day. This level of detail goes well beyond the information conveyed in a headline or the first few sentences of a document. The SAS Industry Taxonomy Rules starter kits build upon WAND taxonomy expertise and help organizations quickly derive value from categorization. Thanks to their out-of-the-box implementation, ROI is almost immediate."
Many organizations already recognize the value of categorizing massive volumes of text to improve their response times, applying it to virtually any form of electronic documents, such as research and financial archives, patient histories, customer servicing records, job applications and Web content. Before this information can be automatically categorized, organizations must go through a time-consuming process of defining the initial terms, characteristics and interrelationships.
Tribune Company uses SAS® to improve search engine effectiveness, user experience
The news media uses taxonomies to categorize multisourced information in real time from reporters, wire services, partner outlets and readers. Keith DeWeese, Director of Information and Semantics Management at the Tribune Company, manages the controlled vocabularies used for automated news categorization and indexing. An expert in semantic technologies, DeWeese often speaks at industry conferences on the art and science of shaping information products to support usability and "findability" (i.e., search results).
"Current information volumes demand automation to surface relevant content," said DeWeese. "Using SAS Enterprise Content Categorization, the Tribune Company continues to successfully meet this challenge - improving search engine effectiveness and user experience, for example, to deliver bottom-line results. It's good to see SAS delivering SAS Industry Taxonomy Rules starter kits. They will bring incredible value to organizations getting started in managing huge collections of text assets. By using starter kits rather than building taxonomies from scratch, organizations can save significant time in taxonomy development."
"SAS has the strongest integrated capabilities in the market, both in the breadth of text analytics and the ability to integrate structured and unstructured data for predictive analytics," said Tom Reamy, Chief Knowledge Architect at KAPS Group, an Oakland, Calif.-based consulting firm that provides a range of text analytics services to help clients build on and customize these starter taxonomies. "Compared to other vendors, SAS requires significantly less customization. These new starter kits are a great resource for speeding up initial rule development and building higher quality rules. And because SAS categorization output is integrated with its ontology and sentiment products, organizations can leverage their taxonomy investment over multiple applications."
SAS Text Analytics is backed by the industry's most comprehensive range of consulting, training and support services, ensuring customers maximum return from their SAS investment.
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