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Ben Castleton
Experienced data architecture and analytics professional.
Ben Castleton is a Managing Consultant for Data Quality at CDW, a prominent technology solutions provider.4 With expertise in data management and governance, Castleton specializes in helping organizations improve their data quality and analytics capabilities.
Professional Background
Castleton's role at CDW involves advising clients on data management strategies and best practices. He emphasizes the importance of data profiling as a crucial first step in addressing data quality issues.2 His approach focuses on practical, incremental improvements to data governance that can yield significant value for organizations.
Expertise and Thought Leadership
Castleton is recognized for his insights on several key areas in data management:
Data Governance:: He advocates for a pragmatic approach to data governance, suggesting that organizations start with small, targeted initiatives to demonstrate ROI before expanding to broader implementations.1
Data Mesh:: Castleton is knowledgeable about modern data architecture concepts, including the data mesh approach, which decentralizes data ownership and responsibility across different domains within an organization.1
Data Literacy:: He emphasizes the importance of increasing overall data literacy within organizations to facilitate the adoption of data initiatives and improve decision-making processes.1
Industry Involvement
Beyond his role at CDW, Castleton is active in the data management community:
- He contributes insights on data engineering and governance topics through professional social media platforms.3
- Castleton has been involved with Great Expectations, an open-source tool for data quality, where he served as co-founder and head of partnerships.5
- He has experience in the healthcare data sector, having worked with Superconductive Health to improve data exchange in healthcare.6
Ben Castleton's expertise spans various aspects of data management, from technical implementation to strategic planning, making him a valuable resource for organizations looking to enhance their data capabilities and drive data-driven decision-making.
