Here's the cool quote.
enterprise search systems also index and navigate information that may reside in databases, content management systems and other structured or semi-structured repositories. The contents may include not only text documents, but also spreadsheets, presentations, XML documents and so on. Even text documents may include some amount of structure, perhaps stored in an XML format.
Everyone thinks (hopes) that the mere presence of data is sufficient. That fact that it's structured doesn't seem to influence their hopes.
The complication is simple -- and harsh. Many enterprise databases are really bad. Really, really epically bad. So bad as to be incomprehensible to a search engine.
How many spreadsheets or reports "stand alone" as tidy, complete, usable documents?
You create a budget for a project. It seems clear enough. Then the project director wants to know if the labor costs are "burdened or unburdened". So the column labeled "cost" has to be further qualified. And "burdened" costs need to be detailed as to which -- exact -- overheads are included.
So a search engine might find your spreadsheet. If a person can't interpret the data, neither can a search engine.
Star Schema Nuance
You can build a clever star schema from source data. But what you find is that your sources have nuanced definitions. Each field isn't directly mappable because it includes one or more subtleties.
Customer name and address. Seems simple enough. But... is that mailing address or shipping address or billing address? Phone number. Seems simple. Fax, Voice, Mobile, Land-line, corporate switch-board, direct? Sigh. So much detail.
Of course the users "just want search".
Sadly, they've created data so subtle and nuanced that they can't have search.