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: The Anatomy Of A System Of Insight

Tools And Technology: The Data Management Playbook

March 22, 2017 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 build them.
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: Data Performance Management Is A Must-Have, Not A Nice-To-Have

Performance Management: The Data Management Playbook

February 6, 2017Michele Goetz

Insight is the engine of today's businesses. The value of a company can be measured by the performance of its data. This report helps enterprise architects (EAs) and chief data officers (CDOs) close the gap between data conditions, data management practices, and business outcomes with data intelligence reports and insight. 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: Evaluate Your Data Management Readiness For Systems Of Insight

Assessment: The Data Management Playbook

February 2, 2017Michele Goetz

Systems of insight (SOIs) will create a culture where what you do with data is more important than how you manage it. Enterprise architecture (EA) professionals will need to adopt the core values of SOIs and put the right practices and competencies in place to manage data with an eye toward actions and outcomes, collaboration, test-and-learn, and agility. This report provides a detailed assessment to help EA professionals plan their path toward a data management practice positioned for today's insight needs and tomorrow's intelligent digital insights ecosystem.
For Enterprise Architecture Professionals

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

Vision: The Data Management Playbook

December 21, 2016Michele Goetz

As investment in data and analytics has risen, 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.

For Enterprise Architecture Professionals

REPORT: Your Business Is Only As Fast As Your Data

Executive Overview: The Data Management Playbook

March 11, 2016Michele Goetz, Nasry Angel

Today, what you know and how well you use it is fueling your competitiveness and growth. The way your firm provisions and manages data has to change to keep up with empowered customers and nimble competitors. This report lays out the new imperative for enterprise architecture (EA) professionals to enable self-service access to real-time data. It explains how enterprise architects 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

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: Create A Road Map For A Real-Time, Agile, Self-Service Data Platform

Road Map: The Data Management Playbook

December 19, 2016Michele 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

March 30, 2016Michele Goetz

The variety, velocity, and volume of data continue to explode. Business stakeholders want direct access to diverse data. Firms now set policies and assume the risk of data management and usage. In light of 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: The Forrester Wave™: Master Data Management Solutions, Q1 2014

How The Top Five MDM Vendors Stack Up For Multiplatform

February 3, 2014Michele Goetz

The ability to keep pace with trends like big data, open data, sophisticated analytics, and the de-compartmentalization of data silos and processes, distinguishes leading master data management (MDM) solutions from their counterparts. The five vendors in this evaluation are the most prominent, widely implemented solutions in the market. They represent the future direction of MDM to support complex and highly federated data management needs. Forrester looks at how these solutions stack up against one another and how each meets the demands and expectations of discerning enterprise customers.