Genalytics Introduces Knowledge Extract Module
Genalytics said Knowledge Extract, coupled with its analytics platform, can enhance the performance of any enterprise analytics, business intelligence or search engine application, improving the accuracy of organizations' marketing or risk programs.
The company said information about customer behavior is increasingly stored as unstructured data in call centers, customer relationship management systems, news feeds, PowerPoint presentations, Excel spreadsheets, e-mail and PDF documents.
The challenge is that this data is not easily accessible by traditional business intelligence and analytics applications, the company said. As a result, many organizations struggle to employ this data as actionable business intelligence that can be used to build effective marketing and risk assessment programs.
"In a world where over 80 percent of all enterprise data is unstructured, organizations are continuously seeking ways to leverage this information to improve bottom line results," said Ray Kingman, CEO of Genalytics. "Knowledge Extract helps marketers capture the value in unstructured data which often lies dormant in call center or CRM systems. This new product enables marketers to derive the context and meaning of data from a range of documents and systems that can be used for understanding and predicting future customer behavior."
A key component of Knowledge Extract is its Salience Engine. It derives the sentiment of a document, thereby providing additional depth and insight into the meaning of the content, such as positive or negative message tone and emerging risk and threat assessment. Knowledge Extract can also be integrated with a Web-based analytic portal application that can expose summary information.