Exploiting the Data Quality Scorecard Concept

Mar 08, 2011 by David Loshin

Here is the essence of the problem: Scorecards are good for initially communicating the value proposition to the right people in the organization – those who need to be shocked and awed by the existence, scope and scale of the problem.

To Score or Not to Score – That is the Question

Mar 01, 2011 by David Loshin

Having pointed out the contrarian view to the data quality scorecard in my previous post, we might change our question from whether we should use a scorecard to “what does one use a scorecard for?”

The Data Quality Scorecard – Contrarian View

Feb 22, 2011 by David Loshin

In my last post, I suggested that there is some value in creating a data quality scorecard, and hinted that there was some internal controversy within my company about the long-term value of a scorecard as a component of a data quality program. Here is the basic point: Of what use is a scorecard? If it is used to measure known errors, it should motivate a specific action to eliminate the root cause of the introduction of each of the errors.

The Data Quality Scorecard

Feb 15, 2011 by David Loshin

Around our office there has been a lively debate regarding the value of a visual scorecard for data quality. On the one hand, customers have gravitated towards the idea that you can provide direct feedback to data consumers regarding the measures of data quality. The idea resonates with the balance of our messaging that focuses on identifying and characterizing the impacts of poor data quality and how the criticality of certain types of underlying data issues can be communicated to business data consumers.

Data Quality and Social Proof

Jul 29, 2009 by Dylan Jones

One of the biggest problems our members frequently cite is their ability to convince stakeholders of the need to act on poor data quality.

As data quality practitioners we often develop scorecards and impact analysis reports to demonstrate the financial impact of poor data quality. We bundle these up into a business case and presentation to help “sell” the benefits of our proposed data quality initiative.

Sometimes we succeed and the budget is granted but many times the opposite occurs and we are forced to retreat, frustrated and demoralised back to the data quality drawing-board.