About the White Paper
In today’s data-driven landscape, the quality of data is crucial for the success of any organization. High-quality data enables accurate decision-making, effective business strategies, and operational efficiency. Conversely, poor data quality can lead to significant challenges, including inaccurate reporting, misguided decisions, and increased costs. As organizations increasingly rely on data to drive their operations, the need for robust data quality management becomes more critical than ever.
This white paper highlights the importance of data quality and introduces a comprehensive Data Quality Program Charter Template. The template offers several key benefits, including clarity in defining program context, roles, and responsibilities; focus on setting boundaries for in-scope and out-of-scope data; alignment with business objectives; and proof of value through KPIs and ROI metrics. By leveraging this template, organizations can enhance data quality, drive informed decisions, and build a foundation of trusted information.
The paper also provides real-world examples of the consequences of poor data quality and outlines the key components of the Data Quality Program Charter Template, such as context and background, expected benefits, scope, roles and responsibilities, key performance indicators, and return on investment metrics. By following the principles and best practices outlined in this white paper, organizations can enhance their data quality, leading to better outcomes and a stronger competitive position.
About the Speaker
Mark Horseman, Data Evangelist, DATAVERSITY
Mark is a Data Management Professional and CDMP – Practitioner with over 20 years of experience and acts as the Data Evangelist for DATAVERSITY. Mark moved into Data Quality, Master Data Management, and Data Governance early in his career and has been working extensively in data management since the early 2000’s. Previous to his work at DATAVERSITY, Mark led Information Management initiatives in both private and public sector organizations.
Mark Horseman, Data Evangelist, DATAVERSITY