About Forrester
Forrester Research, Inc. is an independent research company that provides pragmatic and forward-thinking advice to global leaders in business and technology.

Michele serves enterprise and data architect professionals. She is a leading expert on data quality, data integration, metadata management, master data management, and data governance. Michele helps enterprises leverage data assets more effectively by improving the availability and accuracy of the information that businesses use in processes and analytics.
Prior to joining Forrester, Michele managed the business intelligence and data management programs at PTC. During her tenure, she developed and led the global consolidation of customer data across multiple CRM platforms to support a single view of the customer and manage enterprisewide data quality. In addition, she established data governance and data quality teams and programs to support a center of excellence for data management. Michele also held an executive position at Trillium Software, a provider of data quality solutions and services, introducing thought leadership and recommendations on how organizations can improve data quality and governance programs.
Michele holds an undergraduate degree in mathematics, with a minor in computer science, from Framingham State College.
Forrester clients describe their data governance work as long on effort, but limited in success. Clients describe an inability to sustain data governance beyond a project, feel it is too bureauc...

Today's enterprise data architecture is changing to accommodate models and definitions that are frequently abstracted from data sources, federated sources, and data analytics performed during th...
The increasingly complex task of managing data requires new master data management (MDM) capabilities. While the first MDM implementations focused on a single domain — such as customer dat...


Enterprise architects who drive data management strategy must contend with new data source platforms and complex consumption and analysis scenarios. Current data management systems were built as...

The increasingly complex task of managing data requires new master data management (MDM) capabilities. While the first MDM implementations focused on a single domain — such as customer dat...

Enterprise architects who drive data management strategy must contend with new data source platforms and complex consumption and analysis scenarios. Current data management systems were built as...



Today's enterprise data architecture is changing to accommodate models and definitions that are frequently abstracted from data sources, federated sources, and data analytics performed during th...
This report is designed to help Enterprise Architects avoid roadblocks to maintain agility in their data environment.
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