Skip to main content
Michele   Goetz

Michele Goetz

VP, Principal Analyst Serving Enterprise Architecture Professionals

Michele Goetz serves enterprise architects, chief data officers, and business analysts trying to navigate the complexities of data while running an insight-driven business. Her research covers artificial intelligence technologies and consultancies, semantic technology, data management strategy, data governance, and data integration.

Previous Work Experience

Michele has over 20 years of experience in data management, business intelligence, and analytics. Prior to joining Forrester, she was the VP of marketing at Trillium Software, launching data governance and quality solutions to global enterprises across a variety of industries, including banking, insurance, pharmaceutical, consumer, and energy. At PTC, Michele led customer data management and analytics and established the global data quality and governance program. In addition to Trillium Software and PTC, Michele held various roles in enterprise firms and management consulting, leading research and analytics to identify and forecast market trends, guide go-to-market strategies, gain insight into digital marketing and commerce effectiveness, and support healthcare and pharmaceutical research studies. Michele has been featured in The Wall Street Journal, Forbes, Inc., Cybertrend, Information Week, Analytics Week, and ITWorld.

Education

Michele holds an undergraduate degree in mathematics, with a minor in computer science, from Framingham State College.

Michele Goetz

VP, Principal Analyst Serving Enterprise Architecture Professionals

Michele Goetz serves enterprise architects, chief data officers, and business analysts trying to navigate the complexities of data while running an insight-driven business. Her research covers artificial intelligence technologies and consultancies, semantic technology, data management strategy, data governance, and data integration.

Previous Work Experience

Michele has over 20 years of experience in data management, business intelligence, and analytics. Prior to joining Forrester, she was the VP of marketing at Trillium Software, launching data governance and quality solutions to global enterprises across a variety of industries, including banking, insurance, pharmaceutical, consumer, and energy. At PTC, Michele led customer data management and analytics and established the global data quality and governance program. In addition to Trillium Software and PTC, Michele held various roles in enterprise firms and management consulting, leading research and analytics to identify and forecast market trends, guide go-to-market strategies, gain insight into digital marketing and commerce effectiveness, and support healthcare and pharmaceutical research studies. Michele has been featured in The Wall Street Journal, Forbes, Inc., Cybertrend, Information Week, Analytics Week, and ITWorld.

Education

Michele holds an undergraduate degree in mathematics, with a minor in computer science, from Framingham State College.

Michele Goetz's Research

Most RecentMost Popular
  • For Enterprise Architecture Professionals

    REPORT: Your Business Is Only As Fast As Your Data

    Executive Overview: The Data Management Playbook

    January 15, 2021Michele Goetz

    What you know — and how well you use that knowledge — fuels your competitiveness and growth. To keep up with empowered customers and nimble competitors, you must change how your firm provisions and manages data. This executive overview lays out the imperative for enterprise architecture (EA) pros to enable self-service access to real-time data. It explains how you can use the reports in the data management playbook to empower your data management practices. This is an update of a previously published report; Forrester reviews and revises it periodically for continued relevance and accuracy.

  • For Enterprise Architecture Professionals

    REPORT: DataOps For The Intelligent Edge Of Business

    Go Beyond Traditional Data Management And Governance

    December 3, 2020Michele Goetz

    The world of data is changing from persistent states to data in motion. New data management and governance practices are necessary to move from analytics to operational use cases. To make this shift, we see the rise of data operations (DataOps) and the role of data engineers to develop and innovate enterprise data capabilities. This report provides insight into the practices, roles, responsibilities, and enabling technology to meet data at the edge of business.

  • For Enterprise Architecture Professionals

    REPORT: Evaluate Your Data And Information Management Maturity

    Assessment: The Data Management Playbook

    October 30, 2020Michele Goetz

    Strong data management enables insights into customer needs and optimal business operations. It also is a prerequisite for competing with the coming wave of AI-powered systems. Enterprise architecture (EA) pros will need to ensure the right practices and competencies are in place to manage data with an eye toward outcomes and agility. This report provides a detailed assessment to help EA pros plan their path toward a data management practice positioned for today's insight needs and tomorrow's intelligent digital insights ecosystem. This is an update of a previously published report; Forrester reviews and revises it periodically for continued relevance and accuracy. In this version, we have revised the competencies, scoring model, and maturity levels.

  • For Enterprise Architecture Professionals

    REPORT: Now Tech: Machine Learning Data Catalogs, Q4 2020

    Forrester's Overview Of 27 Machine Learning Data Catalog Providers

    October 20, 2020Michele Goetz

    You can use machine learning data catalogs (MLDCs) to interpret data, accelerate data use, and connect data to business outcomes. But to realize these benefits, you'll first have to select from a diverse set of vendors that vary by size, functionality, geography, and vertical market focus. Enterprise architecture (EA) professionals should use this report to understand the value they can expect from an MLDC provider and to select one based on size and functionality.

  • For Enterprise Architecture Professionals

    REPORT: The Forrester Wave™: Machine Learning Data Catalogs, Q4 2020

    Tools And Technology: The Data Management Playbook

    October 14, 2020Michele Goetz

    In our 39-criterion evaluation of machine learning data catalog providers, we identified the 10 most significant ones — Alation, Alex Solutions, Collibra, data.world, erwin, Hitachi Vantara, IBM, Infogix, Informatica, and Io-Tahoe — and researched, analyzed, and scored them. This report shows how each provider measures up and helps enterprise architecture (EA) professionals select the right one for their needs.

View all of Michele Goetz's Research

Clients Who Work With Michele Goetz Also Work With:

View all related analysts