Originally published at norvik.tech

Introduction

Explore the critical signs indicating your data quality framework is failing. Understand the impact on tech development and how to address it.

Understanding Data Quality Frameworks and Their Importance

A data quality framework is essential for organizations that rely on accurate data for decision-making. It consists of processes, standards, and tools designed to ensure that the data used is accurate, complete, and timely. The importance of such frameworks cannot be overstated; according to industry estimates, poor data quality can cost organizations up to $15 million annually in lost revenue and productivity.…