Organizations with healthy contact data save money on shipping and direct mail costs; they formulate effective business strategies and their customers experience high levels of satisfaction. Data Quality today is, first-and-foremost, a bottom-line issue that businesses must address to stay competitive. To help managers and executives, marketing professionals, and other non-technical personnel understand what data quality is, and why it is important, we outlined 7 data quality principles in a convenient and easy-to-follow format.
Learn How To:
- How accurate is my company's data?
- How much is bad data costing my organization?
- How can I get an accurate picture of my customers?
- How can I unify my data?