Just a quick post to a recent article on the costs associated with ineffective enterprise search.
- According to IDC, a company with 1,000 information workers can expect more than $5M in annual wasted salary costs because of poor search.
- A recent survey of 1,000 middle managers found that more than half the information they find during searching is useless.
- According to Butler Group, as much as 10% of a company’s salary costs are wasted through ineffective search.
- According to Sue Feldman of IDC, people spend 9-10 hours per week searching for information and aren’t successful 1/3 to 1/2 the time.
While Mark Logic is not out to solve the generic enterprise search problem, I have long believed that enterprise search, as a catgory, will become stuck between a rock and a hard place.
- The rock is the commoditization of the low-end enterprise search market through offerings like the Google Appliance and IBM OmniFind Yahoo Edition. This will suck the money out of the low end, the generic crawl-and-index market.
- The hard place is DBMSs — specifically, DBMS-based content applications built to help people in specific roles perform specific tasks. Some people build these applications today by trying to bolt together an enterprise search engine and a DBMS (e.g., Oracle + Verity or Lucene + MySQL), but increasing I believe people will use XML content servers (special-purpose DBMSs designed to handle content) for this purpose.
When you think about it, an inverted keyword index can only help you so much when trying to solve a problem — even if you gussy it up with taxonomies and sexy extraction technology. In the end, an application designed to solve a specific problem will trump a souped-up tool every time.