Out of these 4 dimensions. What's most important to you?
1. Timeliness is the first on my list because the toughest data quality problems will probably be caused by the rapid rate of change for names, addresses, phone numbers, etc. So-called accuracy problems are often timeliness problems in disguise; e.g., a business moved and the database hasn't been updated yet.
2. Accuracy failures are any type of incorrect information, from data entry spelling errors to linking the wrong information to a customer. Accuracy failures are the bloopers that business users love to discover and discuss at length.
3. Completeness has two dimensions: breadth - how many customers/ prospects do you have information about? and depth - how much do you know about your customers and prospects?
4. Consistency is having the same field definitions, naming conventions, country codes, capitalization and abbreviation rules, etc. for all instances of customer data.
What does your organization or business do to ensure data quality?
Nothing because most firms perceive data needs differently;
customers satisfied, goods brought by suppliers to sell.
The rest is busy work. invented work.
