Many CTOs are looking for ways to add value to their data sets, especially since the amount of data stored is growing exponentially, and the cost of storing that data grows as well.
Some have turned to big data analytics solutions such as Hadoop, while others have looked at data mining and other technologies to bring value to cost of archiving data. Yet there is still room to leverage the business value of data – in the form of enterprise search.
Of course, enterprise search has been around for some time. It has generally followed the Web search paradigm, where internal Web pages are indexed and added to a search index. As a matter of fact, companies such as Google have introduced enterprise search appliances to give that “Google-like” experience to the retrieval of data inside the firewall. Nevertheless, it has been hard to determine the value of such solutions.
Traditional enterprise search engines all suffer from the same problem: the inability to filter out the irrelevant from the relevant. In other words, users are bombarded by results, which often have little meaning for the task at hand. What’s more, the searches are often limited to Web-only content. More often than not, enterprise search would fall by the wayside as the information lost its relevance.
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Source: ctoedge.com
By: Frank Ohlhorst
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