Pingar Launches Technology to Save Enterprises Time by Capturing Semi-Structured Data from Invoices

Entity extraction for unstructured documents helps enterprises automatically detection and organize business data

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A significant number of enterprises regularly fail to make insightful decisions about significant changes in their business and markets. Capturing and organizing this information can give clues to critical supply chain and cash flow questions.

Sunnyvale, CA (PRWEB) September 28, 2011

Pingar, a leading provider of unstructured data management solutions today announced a new tool for enterprises to quickly capture data and business intelligence stored in documents and use that data for business advantage and operational efficiency. Invoice Analyzer extends Pingar’s proven ability to apply text analytics and natural language processing research, to capture, sort and analyze data in unstructured documents to include semi-structured data. Pingar will demonstrate Invoice Analyzer and other technology to instantly organize and apply metadata, search, manipulate and analyze information at the SharePoint Conference 2011 October 3-6 in Anaheim, Calif., Booth #244.

“A significant number of enterprises regularly fail to make insightful decisions about significant changes in their business and markets,” said Peter Wren-Hilton, Pingar CEO. “Invoices are exchanged between businesses on an every-day basis, and they all contain the same information: What is the amount of the invoice? Who is issuing the invoice? How is the payment to be made? Capturing and organizing this information can give clues to critical supply chain and cash flow questions and help business analysts make better decisions.”

Semi-structured data includes any documents, which contain table-based information including, application forms, CVs, resumes, invoices, expense sheets, budget lists and itineraries. These documents may be stored in a huge variety of formats and comprise a large volume of data in a company. Documents may be electronic or need to be scanned. Invoice Analyzer can instantly apply metadata, extract entity information and automatically categorize data into a database for further business operations. Because Pingar relies on advanced natural language processing and text mining algorithms, the accuracy of data collection is improved, making it easier to obtain business intelligence.

Pingar’s API enables enterprises and partners to rapidly create applications and solutions to gain greater business value from an organization’s disparate business data. Because Pingar’s API is scalable ,lightweight, easy to deploy, and platform agnostic, solutions created with Pingar can integrate with any enterprise content management or document management solution..

About the Pingar API
The Pingar API works seamlessly with existing enterprise content management systems and increases the power and usefulness of your enterprise information. Pingar’s process is intuitive, and yields more contextually relevant results and tools to extract information, and transform that information into intelligence. The decision to release Pingar’s base technology as 18 core API components has resulted in significant market traction and is providing major opportunities for future growth across multiple domains. To access the API please see https://pingar.3scale.net/

About Pingar
Pingar’s mission is to transform unstructured data in the enterprise into business intelligence by developing technology that harnesses the power of semantic search, text mining and natural language processing. This mission came from years of ground -breaking research at some of the most respected universities in these fields. Pingar is headquartered in New Zealand with offices in Hong Kong, India, the United Kingdom and the United States. For more information please see http://www.pingar.com

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