Data quality is a difficult concept to quantify while still being vital enough to sabotage any project, strategic initiative, or even an entire business. What's going on with the quality of your data? Is the data well-suited for all of its uses? Is your data everywhere – in operational databases, data warehouses, data lakes, master data management, etc.?
Information management expert William McKnight will go over 23 lessons he’s learned about data quality, frequently the hard way, in this presentation. Any problem with data quality, and quite possibly with data, that you may be experiencing is likely the result of someone failing to take one of these lessons to heart. Focusing on one or more of these could be the key to achieving understanding between parties and, ultimately, finding a solution to your data quality, and consequently data, problems.
In this presentation, you’ll discover up to 23 facts about data quality as well as fixes for the issues that the absence of data quality causes.