However, the deeper question (or "the question behind the question") could almost be whether one can ensure consistency in the interpretation of presented information. In other words, when two individuals look at the same report, can we presume that they will draw the same conclusions? The challenge here lies less with the accuracy of a specific data value itself and more with the issue of alignment on along the definitions associated...
with the data element in question. For example, when a report details the number of customers, do all readers use the same definition of customer to process that result? Ensuring that there is internal alignment on data interpretation becomes a byproduct of effective data governance and the institution of good metadata management practices.
Dig deeper on Data profiling tools and techniques
Related Q&A from David Loshin
Learn what to consider before adopting open source data quality software to help with identity resolution and name matching.continue reading
Learn how often companies should update their data quality strategy. See how changes in data quality problems create new challenges and how revising ...continue reading
Learn about emerging data governance trends for 2011, including more use of data governance tools and data quality metrics and scorecards. Find out ...continue reading
Have a question for an expert?
Please add a title for your question
Get answers from a TechTarget expert on whatever's puzzling you.