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Melody Chien
Sr Director Analyst
Gartner
Speaker Topics
- Data Quality
- Data Architectures (inc. Data Fabric, Data Lakes, Data Warehouse)
- Ready Your Data for AI
- Building Data and Analytics Skills
- Data and Analytics Governance (any data, analytics, or AI)
Speaker Bio
Melody Chien is a Senior Research Director with Gartner's Data Management team. Ms. Chien's research includes the best practice for building effective data quality programs, and data and analytics governance strategies. She also covers tool selections and vendor evaluations for data quality solutions, metadata management solutions, and data observability tools. Additionally, her research includes generative AI in data management practices and AI-ready data for AI initiatives.
Ms. Chien has over 24 years of experience in data management and BI analytics. She spent most of these years in California Silicon Valley in U.S. and worked on big-sized data management projects in large organizations, such as SAP and PayPal, where she has built professional expertise in data and analytics management.
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Ms. Chien has over 24 years of experience in data management and BI analytics. She spent most of these years in California Silicon Valley in U.S. and worked on big-sized data management projects in large organizations, such as SAP and PayPal, where she has built professional expertise in data and analytics management.
Sessions
Tuesday, 17 June, 2025 03:45 PM - 04:30 PM AEST
Ask the Expert: Essential Data Quality Practices for AI-ready Data
Melody Chien,
Sr Director Analyst, Gartner
Traditional approaches and thinking around data quality are out of date and not sufficient in the era of AI. Data, analytics and AI leaders will need to reconsider their approach to data quality going beyond the traditional six data quality dimensions. This session will help data leaders learn to think about data quality in a holistic way that support making data AI-ready.
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Wednesday, 18 June, 2025 11:45 AM - 12:15 PM AEST
Unstructured Data Quality: How to Improve Trust to Ensure AI-Ready Data
Melody Chien,
Sr Director Analyst, Gartner
Data architects are increasingly tasked with provisioning quality unstructured data to support AI models. However, little has been done to manage unstructured data beyond data security and privacy requirements. This session will look at what it takes to improve the quality of unstructured data and the emerging best practices in this space.
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Wednesday, 18 June, 2025 03:30 PM - 04:00 PM AEST
Build a Foundation for BI and AI Success With Metadata, Data Quality and Data Observability Tools
Melody Chien,
Sr Director Analyst, Gartner
Metadata, data quality and data observability tools provide significant capabilities to ensure good data for your BI and AI initiatives. Metadata tools help discover, and inventory your data assets. Data quality tools help business users manage their data at sources by setting rules and policies. Data observability tools give organizations integrated visibility over the health of data, data pipeline and data landscape. Together the tools help organizations lay good foundation in data management for BI and AI initiatives.
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