The Data Roundtable | The Data Roundtable. Rich Murnane's Blog. Ken O'Connor Data Consultant. How tall are you? What is the distance between Paris and Madrid? How long should one cook a 4.5Kg turkey for – and at what temperature? Quality data is key to a successful business. To manage data quality, you must measure it We can answer the above questions thanks to “standard dimensions”: Height: Metres / FeetDistance: Kilometres / MilesTime: Hours & MinutesTemperature: Degrees Celsius / Farenheit Life would be impossible without the standard dimensions above, even though the presence of “alternate” standards such as metric Vs Imperial can cause complexity. We measure things for a reason. We measure data quality because poor data quality has a negative business impact that affects the bottom line. The great news is that 2013 marked a major step forward in the agreement of standard dimensions for data quality measurement.
In October 2013, following an 18 month consultative process DAMA UK published a white paper called DAMA UK DQ Dimensions White Paper R3 7. 1. The dimensions are not new. Data Quality Pro Journal - Data Quality Pro. Liliendahl on Data Quality. The last couple of days I have been part of a so called Innovation Camp around how to exploit open public sector data in the private sector. In one of the inspirational keynotes Professor Birgitte Andersen of the Big Innovation Centre used the term “A Digital Sharing Revolution” to describe the trend of increasingly sharing data both within the public sector, between the public sector and the private sector and within the private sector.
During the two days a lot of ideas for how to exploit open public sector data within the private sector were put on the table. I was so lucky to win a SmartWatch as being part of the group with the winning concept that is a service for identifying buildings with potential for energy saving improvements. At iDQ we see great potential in using such a service in conjunction with our current offerings for exploiting both open public sector data and other external big reference data sources.
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