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: Now Tech: IoT Data Management Solutions, Q2 2019

    Forrester's Overview Of 22 IoT Data Management Solution Providers

    June 6, 2019 Noel Yuhanna, Michele Goetz

    You can use internet-of-things (IoT) data management solutions to deliver a comprehensive view of IoT data, become significantly more productive, and accelerate IoT initiatives. 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 IoT data management solution providers and select vendors based on size and functionality.

  • For Customer Insights Professionals

    REPORT: Forrester Infographic: AI Experiences A Reality Check

    Three Challenges Hold Firms Back From Achieving Enterprise AI Aspirations

    May 17, 2019Michele Goetz, Elizabeth Cullen

    AI's potential has given companies lofty expectations of transforming their business and dominating their market. But data quality, talent scarcity, and a trust gap serve as a reality check. Most enterprise AI models don't make it into production, and many stall at the pilot or proof-of-concept phase, even when they show value. The path to enterprise AI is full of twists and turns, false starts, and lessons to learn — this infographic will help customer insights pros navigate it.

  • For Enterprise Architecture Professionals

    REPORT: Evaluate Your Data And Information Management Maturity

    Assessment: The Data Management Playbook

    January 16, 2019Michele 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 CIO Professionals

    REPORT: Now Tech: AI Consultancies, Q4 2018

    Forrester's Overview Of 24 AI Service Providers

    December 21, 2018Michele Goetz

    You can use artificial intelligence consultancies to facilitate AI strategy and design, augment data science resources, and provide digital transformation and data support. 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. CIOs should use Forrester's Now Tech report to understand the value they can expect from an AI consultancy and select vendors based on breadth of services.

  • For Enterprise Architecture Professionals

    REPORT: Data Technology Pathfinder

    Landscape: The Data Management Playbook

    December 19, 2018Michele Goetz

    The variety, velocity, and volume of data continue to explode; business stakeholders want direct access to diverse data; and firms now set policies and assume the risk of data management and usage. In light of all this, enterprise architecture (EA) pros need to modernize their firms' data management environments. To do so, they must intertwine business strategy and data strategy through shared goals. This report outlines the varied and complex data management landscape and what to expect as data technology and solutions evolve. This is an update of a previously published report; Forrester reviews and revises it periodically for continued relevance and accuracy.

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