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 strategies. She also covers Data Quality Tools market and provides vendor evaluations.
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.
Prior to her current role, Ms. Chien built Enterprise Data Warehouse and Analytics platform. She provided technical oversight in enterprise data warehouse architecture, data modeling, data capacity planning, data analysis and data visualization best practice. She also set up standard, procedures and policy of IT practices and provided business insight from data assets.
Director of Enterprise Data Management
Sr. Technical Service Delivery Manager
Sr. Service Advisor
Data and Analytics Leaders
Data Management Solutions
Analytics, BI and Data Science Solutions
Data and Analytics Strategies
M.S., Management Information Systems, University of Arizona
B.S., Management Information Systems, University of Arizona
1Data quality: Best practices, programs, strategies
2Data quality tool market trend and vendor/tool selection
3Data management strategies/Enterprise information management
4Organization structure, data analytics maturity model, strategy, training
5Metadata data vendors, data catalog, metadata use cases