OpenText Opens Advanced Content Analytics Market
February 14, 2011
Following in the footsteps of other vendors, Open Text has opened an advanced content analytics market.
“OpenText Licensing Agreement Brings Advanced Content Analytics to Market” reveals a tie up between OpenText and the National Research Council (Canada). The idea is that new Content Analytics innovations will be added to the ECM Suite and made available by spring 2011. The added content analytics to the ECM Suite will improve data mining and analysis. The key point is:
“Content analytics is the key to extracting business value from social media and text-rich online and enterprise information sources, an essential technology for marketing, online commerce, customer service, and improved search and Web experience. Given the mind-boggling growth in information volumes, no wonder uptake is booming, powered by rapid technical advances from leading-edge vendors such as OpenText.”
Content Analytics will perform data mining that will uncover and show relationships between businesses and other facts. It will be able to find information that a normal search engine wouldn’t find. This agreement is the beginning for OpenText to apply Content Analytics to all its enterprise content management Suite products.
Whitney Grace, February 14, 2011
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2 Responses to “OpenText Opens Advanced Content Analytics Market”
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You are absolutely right in saying that the next battle ground in ECM is about being able to piece together information from a multitude of sources and authors in order to discover some precious value. Companies like ClaraBridge, Autonomy, Attensity and Basis Technology have been doing this for some time. This areas is not as simple as it may seem as there are so many complexities. For one there are diversities of spoken languages and their dialects, the many subject matter and the various types of content. For example, blogs, web pages and documents cannot be process as if they are homogenously the same type.
When it comes to content analytics there are the three golden rules; they are recall, precision and relevance. The latter is the most difficult to achieve and here is an example. Two people, one a scientist and the other a typical consumer. When a scientist want to find information that is related to a drug he/she is looking for insight that can speed up drug research and discovery. Whereas a consumer is looking to address a particular symptom. What is relevant to the scientist is not identical to those of the consumer. To sum this up the information needs of users’ are very different therefore analytics needs to go deeper than simply keywords, synonyms and even language.