Before investing in new platforms or automation to “fix” data quality, it is essential to look at the foundation: your data architecture, business processes, and organizational culture. Technology can help, but it cannot compensate for inconsistent processes, unclear ownership, or poor governance. This reimagined blog explores why data quality matters, where most quality issues originate, and how to address them in a sustainable way—long before you add another tool to your te