Michele   Goetz

Michele Goetz

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

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: Reclaim Your Semantic Desert To Monetize Your Data

    Use Machine Learning Data Catalogs To Automate Semantics At Scale

    September 7, 2018Michele Goetz

    Data management has relied heavily on the logical and physical aspects of data and systems. The result? Rigid, brittle systems that don't support multiple use cases or adapt quickly to new business scenarios. Adding semantics to the data equation means data isn't stuck waiting to be monetized from the lake — it is ready for activation in the digital business. This report breaks down how data and information architects can hydrate the semantic desert and invest in technology that ensures data lake and big data fabric investments achieve intended business outcomes.

  • For Enterprise Architecture Professionals

    REPORT: The Forrester Wave™: Machine Learning Data Catalogs, Q2 2018

    The 12 Providers That Matter Most And How They Stack Up

    June 21, 2018Michele Goetz

    In our 29-criteria evaluation of machine learning data catalogs (MLDCs) providers, we identified the 12 most significant ones — Alation, Cambridge Semantics, Cloudera, Collibra, Hortonworks, IBM, Infogix, Informatica, Oracle, Reltio, Unifi Software, and Waterline Data — and researched, analyzed, and scored them. This report shows how each provider measures up and helps enterprise architecture (EA) professionals make the right choice.

  • For Enterprise Architecture Professionals

    REPORT: Now Tech: Machine Learning Data Catalogs, Q1 2018

    Forrester's Overview Of 23 Machine Learning Data Catalogs

    March 27, 2018Michele Goetz

    You can use machine learning data catalogs (MLDCs) to interpret and optimize the use of disparate data sources, reconcile policies across data use, and democratize data to the edge of business. But to access these benefits, you'll first have to select from a diverse set of vendors — vendors that vary by size, functionality, geography, and vertical market focus. Enterprise architecture (EA) professionals should use Forrester's Now Tech report to understand the value they can expect from an MLDC provider and select vendors based on functionality and role affinity.

  • For CIO Professionals

    REPORT: Use Forrester's AI Activation Framework For AI Results

    The AI Operating Model Is About Much More Than Tech

    March 23, 2018Michele Goetz

    Robots don't come out of the box ready to take on a task. They must learn. And contrary to other analytic capabilities designed and optimized to answer a question or output a result, robots operate in more nuanced and ambiguous business scenarios. You must define them using expertise and experience in their environment. Sound humanlike? That's the point! This report provides CIOs with lessons learned for building an operating model that will create the employee of the year and avoid Frankenstein's monster.

  • For Enterprise Architecture Professionals

    REPORT: Battle Of The Data Lakes: Customer Insight Versus Enterprise Platform

    February 16, 2018Michele Goetz

    The race for the most compelling customer experience (CX) is intensifying, and customer insights are the rocket fuel for CX engines. But internal battles over the "right" scope for a data lake — enterprisewide versus customer focused — are getting in the way of many firms' progress. Enterprise architecture (EA) pros should read this report to learn Forrester's strategy for a productive and effective data lake coexistence strategy.

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