Concept Searching’s Smart Content Framework™ Improves Intranet Search Results for DAI

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Concept Searching’s Smart Content Framework™ Improves Intranet Search Results for DAI

Concept Searching is pleased to announce that DAI has deployed Concept Searching’s technologies to improve its classification processes and search results.

DAI is an employee-owned global development company, working on the frontlines of international development to tackle fundamental social and economic development problems caused by inefficient markets, ineffective governance, and instability.

It needed an efficient way of capturing and compiling information throughout the lifecycle of the business – from market intelligence to proposal development to project implementation and lessons learned. DAI’s corporate portal, built on a SharePoint platform, needed to act as a window onto this data, to enable up to 1,500 employees access to information. In order to achieve that goal, a more powerful set of tools was needed than those available in SharePoint.

Steven O’Connor, Director of Communications, DAI, said, “Forty years, thousands of projects and proposals, and tens of thousands of contacts means that lots of information resides in lots of different places. Access to this information is key. While no system will write a proposal for us, conceptClassifier for SharePoint is helping us to aggregate and focus on the data that is most relevant to the task at hand, pointing staff in the right direction and helping them identify ‘what we know and how we know it’.”

Concept Searching’s Smart Content Framework™, which includes and builds on its flagship product conceptClassifier, delivers the ability to index and access DAI’s data, and compile it based on key metadata, using its unique ‘compound term processing’ to extract concepts from content, enabling effective knowledge sharing for DAI’s employees. conceptClassifier is unique in that it generates keywords, acronyms, and phrases from within content, by automatically identifying the word patterns in unstructured text that convey the most meaning.

To read the press release, click here or click here to read the case study.

Concept Searching