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Pingar Announces Resources to Retrieve Value from Unstructured Data Using the SharePoint Platform

February 27, 2012 No Comments

SOURCE: Pingar

Presenting at SPTechCon 2012, Pingar highlights two papers, sandbox version for developing solutions to manage unstructured and semi-structured data

SAN FRANCISCO – February 27, 2012 – From SPTechCon San Franciso 2012 Pingar, a leading provider of unstructured data management solutions, today announced the availability of several resources to help SharePoint information technology professionals, business managers, analysts and developers extend the capabilities of their SharePoint systems to better manage unstructured data. Pingar has made available two whitepapers to serve as resources to retrieve business value from semi-structured and unstructured data. A free developer sandbox version of the Pingar API is also available in both cloud and on-premise versions.

Owen Allen, vice president of solutions at Pingar, will conduct a workshop at SPTechCon San Francisco 1:45 p.m. Monday February 27, 2012t called “SharePoint 2010 as a Platform for Business Solutions” with the aim of aiding SharePoint users to leverage SharePoint as a platform for business solutions.

Mr. Allen says that because SharePoint is a highly extensible platform, and because the SharePoint ecosystem of solutions provides a number of off the shelf compatible applications, SharePoint can be used as a highly effective platform for solutions that manage business processes and solve content challenges. Pingar provides technology to automatically populate metadata fields in SharePoint making it easy to add large batches of documents to SharePoint and ensure they are instantly searchable without time consuming and sometimes unreliable manual application of metadata.

“SharePoint users and solutions rely on associated metadata to find and identify documents. By using Pingar to extract and add content-specific metadata to unstructured files, SharePoint can now serve as the base of powerful business process and content management solutions that help information workers to make sense of previously unavailable or undiscoverable information with minimal impact on IT resources,” Mr. Allen concludes.

“Putting Metadata Management to Work: Automated Tools that Tame the Global Data Explosion” is available at This paper describes how metadata management can help enterprises retrieve value from unstructured and semi-structured data and how commercial software can provide solutions to big data-related management problems.

“Pervasive, Disruptive, and Solvable: Neutralizing Unstructured Big Data Problems with Best Practices” is available at This paper describes how managing unstructured big data with best practices can help your organization retrieve value from unused data assets and how unstructured data management software can support these best practices.

Because Pingar was developed using advanced natural language processing, data mining and text analytics techniques and the components are available in many languages, business analysts and other information workers can now unlock and manage previously inaccessible stores of data. To access the API please see

Pingar is exhibiting at SPTechCon San Francisco 2012 in booth 805.

About Pingar

Pingar’s mission is to transform unstructured data in the enterprise into business intelligence by developing technology that harnesses the power of 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

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Tamarie Johnson



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