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.

Print Bio

Michele Goetz

Principal Analyst Serving Enterprise Architecture Professionals

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

Most RecentMost Popular

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.
For Enterprise Architecture Professionals

REPORT: Data Is Business; Are You Prepared?

Benchmarks: The Data Management Playbook

February 14, 2018Michele Goetz

The great awakening that data is business is clear to enterprise architects. The next step is to set the right priorities and agenda to shore up your data management capabilities to support systems of insight and position for emerging technologies such as AI, blockchain, and the internet of things (IoT). Read this report to see how you stack up against other data management and governance programs and what you can do to accelerate and activate data for business.
For CIO Professionals

REPORT: The Artificial Intelligence Race Is On, And Asian Businesses Are Winning

February 13, 2018Michele Goetz

Artificial intelligence has changed the rules of the game. Getting the most out of AI investments means looking beyond technology by getting to the heart of business transformation and navigating a new, complex market ecosystem. This report for CIOs explains and illustrates the regional factors that are shaping the AI age.

For Enterprise Architecture Professionals

REPORT: Your Business Is Only As Fast As Your Data

Executive Overview: The Data Management Playbook

December 18, 2017Michele Goetz

Today, what you know and how well you use that knowledge fuels your competitiveness and growth. You must change how your firm provisions and manages data to keep up with empowered customers and nimble competitors. This executive overview lays out the new imperative for enterprise architecture (EA) professionals 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: Create A Road Map For A Real-Time, Agile, Self-Service Data Platform

Road Map: The Data Management Playbook

November 7, 2017Michele Goetz, Noel Yuhanna

Data bottlenecks create business bottlenecks. The days of provisioning data to simply 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 architects how they can use data to transform their organization from turtle to hare and keep pace with the speed of business. This is an update to a previously published report; Forrester reviews and revises it periodically for continued relevance and accuracy.
For Enterprise Architecture Professionals

REPORT: Data Technology Pathfinder

Landscape: The Data Management Playbook

November 14, 2017Michele 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, most recently to include new examples and to reflect trends in the market.
For Enterprise Architecture Professionals

REPORT: Four Steps To A Data Management Strategy In Light Of Big Data

Strategic Plan: The Data Management Playbook

March 13, 2017Michele Goetz, Mike Gualtieri, Nasry Angel

Data is the lifeblood of your entire organization. It should enlighten every function of the business, including customer experience (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 enterprise architects 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: The Anatomy Of A System Of Insight

Advanced Level: Technology Practices For Insights-Driven Businesses

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.