Right now I’m working on a cloud service called instant Data Quality (iDQ™).
It is basically a very advanced search engine capable of being integrated into business processes in order to get data quality right the first time and at the same time reducing the time needed for looking up and entering contact data.
With iDQ™ you are able to look up what is known about a given address, company and individual person in external sources (I call these big reference data) and what is already known in internal master data.
From a data quality point of view this mashup helps with solving some of the core data quality issues almost every organization has to deal with, being:
- Avoiding duplicates
- Getting data as complete as possible
- Ensuring maximal accuracy
The mashup is also a very good foundation for taking real-time decisions about master data survivorship.
The iDQ™ service helps with getting data quality right the first time. However, you also need Ongoing Data Maintenance in order to keep data at a high quality. Therefore iDQ™ is build for trigging into subscription services for external reference data.
At iDQ we are looking for partners world-wide who see the benefit of having such a cloud based master data service connected to providing business-to-business (B2B) and/or business-to-consumer (B2C) data services, data quality services and master data management solutions.
Here’s the contact data: http://instantdq.com/contact/
Liliendahl on Data Quality 
Interesting concept. Br Marko / Pilvion ps First link doesn’t work.
Thanks Marko. Link corrected.
Brilliant idea. I see the integration of big data with standard transactional “small data” as the way the majority of integration and data quality projects are headed. In the end it’s all data. Marvelously useful reerences like that don’t see their real value until we find a way to make that mashup, do the lookups, and link the big with the small.
Sounds like a very cool project.
Paige
Thanks for commenting Paige. Yep, it is a cool project.