Organisations working with XML content don't want to have to cope with bad data. At best bad data is a nuisance; at worst it can severely impact operations by impeding efficiency or causing system failure.
The XML boat anchor?
XML is not your business. But the content you mark up with XML is.
In practice, too often XML data is the boat anchor which weighs your processes down. Encoding problems, invalidity, missing data, unexpected visualisations — it's difficult to believe in the XML dream of interoperable, agile content when assaulted by the day-to-day problems of getting your XML content, at a basic level, even right.
With XMLProbe, you can know precisely what's wrong, and why. Faults can get fixed as soon as the occur, without propagating to where they cause damage. The problem of bad data can be properly solved.
Stop working on your data …
… start working on your process
With good data, everything changes. You can know how good your data is, be confident in what you supply, and canny in what you receive.
The strategic payoff is that existing processes can be optimised, and new processes created, to do stuff with your XML content. Useful stuff. So when the need arises (for example) to:
- Create news feeds from bodies of content
- Support new formats and standards by transforming data
- Change the way data is visualised
- Extract, analyse and combine data sets
Then having a clean, properly quality-assured data set, you will be confident that it can be done, and developers can be confident of developing a technical approach that will work.
That is because there is a direct link between the quality of XML data holdings, and the ability to leverage that content to service your requirements of that data.
