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.

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Michele Goetz

VP, Principal Analyst Serving Enterprise Architecture Professionals

Read Read Michele's blog posts

Previous Work Experience

Education

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

Research Coverage

Michele Goetz's Research

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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.

For Enterprise Architecture Professionals

REPORT: Create A Roadmap For A Real-Time, Agile, Self-Service Data Platform

Roadmap: The Data Management Playbook

January 6, 2020Michele Goetz, Noel Yuhanna

Data bottlenecks create business bottlenecks. The days of provisioning data simply to meet the requirements of systems of record are over. Business stakeholders at the executive and line-of-business levels need data faster to keep up with customers, competitors, and partners. Information from the past won't support the insights of the future — businesses need real-time data. This report shows enterprise architecture (EA) professionals how they can use data to transform their organization and keep pace with the speed of business. 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: 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: Four Steps To A Data Management Strategy In Light Of Big Data

November 16, 2018Michele Goetz, Mike Gualtieri

Data is the lifeblood of your entire organization. It should enlighten every function of the business, including CX, operations, marketing, sales, service, and finance. A data management (DM) strategy is critical. The goal should be clear: Provide all business functions with quick and complete access to all of the data and analytics that they need, both now and in the future. But it's easier said than done, and that's where strategy comes in. This report provides a four-step process for EA pros to formulate a next-generation DM strategy that's both visionary and pragmatic. This is an update of a previously published report; Forrester reviews and updates it periodically for continued relevance and accuracy.
For Enterprise Architecture Professionals

REPORT: Data Technology Pathfinder

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.
For Enterprise Architecture Professionals

REPORT: The Anatomy Of A System Of Insight

January 5, 2018 Brian Hopkins, Michele Goetz, Noel Yuhanna

Your big data strategy is likely too little, too late. Customers are changing their expectations too quickly, and data lakes are becoming swamps. Insights-driven disruptors are using systems of insight to steal revenue from competitors and grow year-over-year at a double-digit pace. This report breaks down the components of a system of insight into a reference architecture and provides examples so enterprise architects can start helping their firms innovate their technology capabilities. This is an update to a previously published report.