When we are looking for what is really important and absolutely necessary to get data quality right some sayings could be:
- “Change management is a critical factor in ensuring long-term data quality success”.
- “Focussing only on technology is doomed to fail”.
- “You have to get buy-in from executive sponsors”.
These statements are in my eyes very true and I guess anyone else will agree.
But I also notice that they are true for many other disciplines like MDM, BI, CRM, ERP, SOA, ITIL… you name it.
Also take the new SOA manifesto. I have tried to swap SOA (and the full words) with XYZ, and this is the result:
XY is a paradigm that frames what you do. XYZ is a type of Z that results from applying XY. We have been applying XY to help organizations consistently deliver sustainable business value, with increased agility and cost effectiveness, in line with changing business needs. Through our work we have come to prioritize:
Business value over technical strategy
Strategic goals over project-specific benefits
Intrinsic interoperability over custom integration
Shared services over specific-purpose implementations
Flexibility over optimization
Evolutionary refinement over pursuit of initial perfection
That is, while we value the items on the right, we value the items on the left more.
I think a Data Quality and several other manifestos could be very close.
But what I am looking for in Data Quality is the specific pearls of wisdom related to Data and Information Quality – while I of course value to be reminded about the universal ones.