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: 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: Put The Business Back In Your Data Management Business Case

Business Case: The Data Management Playbook

January 2, 2020Michele Goetz

Be customer driven: It's time for enterprise architects to put the business back in the business case. Partner with business stakeholders to define where and how data will advance the business and what capabilities it needs to evolve into a data-driven organization. This report describes which stakeholders you should engage with to gather the information you'll need. It also explains how to build business strategy into your data strategy and how to make the business case for your data management agenda. This is an update of a previously published report; Forrester reviews and updates it periodically for continued relevance and accuracy.
For CIO Professionals

REPORT: Consultancies Are Reinventing Their Service Model For AI

Insights From The Forrester Wave™ Evaluations Of AI Consultancies

December 19, 2019 Achim Granzen, Michele Goetz

The AI consultancy market is highly dynamic. The research we performed in the course of our Forrester Wave™ evaluations of AI consultancies, both globally and in Asia Pacific, indicates that service providers are evolving their traditional service models to help customers transform their businesses with AI. This report outlines the characteristics of the new service model we see emerging to meet the challenges firms experience implementing artificial intelligence technologies.
For Enterprise Architecture Professionals

REPORT: Research Overview: Machine Learning For Information Platforms

Landscape: The Data Management Playbook

November 22, 2019Michele Goetz, Noel Yuhanna

It's not just data that's growing — the ecosystem landscape and use cases are also growing and increasing in sophistication. Manual administration, management, and engineering of data create bottlenecks for time-to-value. Machine learning (ML) is becoming available at every tier of the information platform. This report helps enterprise architects and CIOs recognize instances of machine learning and shows them how to augment data services to keep pace with, and adapt to, business demands.
For Enterprise Architecture Professionals

REPORT: Personalized, Fast Data Delivers Business Outcomes Your CEO Cares About

Vision: The Data Management Playbook

November 19, 2019Michele Goetz

As investment in data and analytics has grown, satisfaction in analytic capabilities has decreased and dissatisfaction has increased. The crux of the situation is that data management can't start with systems and databases. For enterprise architecture (EA) pros, today's data vision is to make data relevant, timely, and impactful to attain the CEO's mandate for the digital 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: 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

November 13, 2019Michele 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 12 reports in the data management playbook to discover, plan, act, and optimize 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

Strategic Plan: The Data Management Playbook

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.