Modern enterprises increasingly recognize data and information as vital strategic resources. The immense volumes of data generated, alongside governance requirements like Sarbanes-Oxley and Basel II, necessitate careful management of IT resources, particularly data and information. Organizations understand that information is one of their most valuable assets, and that enhanced data aggregation and analysis can yield significant competitive advantages. In this context, initiatives aimed at improving information quality have become essential to address the challenges posed by questionable data quality and its impact on decision-making. However, many organizations mistakenly view data quality initiatives as one-time projects and struggle with where to begin. This guide offers organizations a comprehensive understanding of data quality issues and provides a toolset for assessing their data quality maturity and preparedness. By following this guidance, enterprises can implement more effective initiatives to enhance data quality, thereby maximizing the value of their critical information resources.
