The Statue of Liberty in New York harbor is 46 metres (151 ft) high – 93 metres (305 ft) with foundation and pedestal.
The Little Mermaid sits on a rock in the Copenhagen harbour. The relatively small size of the statue typically surprises tourists visiting for the first time. The Little Mermaid statue is only 1.25 metres (4 ft) high.
Actually most things in Denmark are smaller than in the US – also the size of companies. Of course there are Maersk, Carlsberg and Lego, but most of companies from there are SMB’s (Small and Medium sized Business’s) in a global sense.
As Graham Rhind points out in his blog http://grcdi.blogspot.com/2009/05/what-about-rest-of-data.html most literature about data quality is fixed completely on data held in large corporate entities. Statistically the relative number of SMB’s are probably close to the same – but having only a few large companies somehow shifts the focus more to the SMB’s in my country (and our Nordic neighbours).
This is why I have actually worked with data quality improvement both at SMB’s and at large companies.
Most significant differences as I have seen is probably not surprising on the data governance part, where you have to use much more agile (guerrilla) approaches with the SMB’s.
The technology part is pretty much the same – but ROI is king as ever. With SMB’s results must show up almost immediately, there is no room for months of tuning. Software must be user friendly, there is no room for excessive consultancy.
I can recommend all data quality professionals to do a SMB implementation in order to sharpen your skills and tools.
Liliendahl on Data Quality 
Finland agrees 🙂 99,1 % of all finnish companies employ less than 50 people. Also the amount of data they handle is relatively low. This doesn’t mean that they can forget about data quality. Quality data is one of those factors you need to focus on to gain scalability and sustainable grotwh. I mean the SMB’s want to become big enterprises, don’t they? But as you said it is i is a question of time, money and maturity. So we need to produce smaller and easily adopted steps to data quality for SMB’s and be able to communicate in terms of short-term & long-term benefits.
Btw, you forgot Denmark has the biggest company in terms of personnel; ISS.
Thanks Kalle for sharing the Finnish perspective.
And yes, ISS is a huge world-wide employer. Actually I was involved in implementing the iDQ™ Data Quality / MDM solution for employee master data management there.