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
Fact tables and dimension tables are used together in star schemas to support data analytics applications. But they play different roles and hold ... Continue Reading
Learn how to get senior management to buy into data governance. Get tips on selling data governance policies and processes to executives who can ... Continue Reading
Estimating the cost of poor data quality can be a challenge. Read our expert's tips for estimating value of customer data cleansing and know how much... Continue Reading