Elizabeth   Cullen

Elizabeth Cullen

Researcher Serving Enterprise Architecture Professionals

Elizabeth is a researcher on the enterprise architecture team. Her research focuses on strategies to help organizations — including commercial firms, government agencies, and smart cities — derive value from data and analytics. Specifically, she is interested in the role data leadership plays in developing a culture that embraces analytically driven decisions. For smart cities, she supports research on how technology and policy officials can develop a citizen-centric strategy that leverages current open data initiatives and new technologies to improve favorability, services, and operations. In addition, Elizabeth analyzes trends in data commercialization, exploring the various business models and best practices for developing and delivering data products and services. These research areas often point to needing the help of service providers and a new engagement model where firms subscribe to actionable insights and decision support.

Previous Work Experience

Prior to this role, Elizabeth was a senior research associate on the enterprise architecture team. She supported several analysts with their research on big data technologies and strategies for deriving valuable insights.

Education

Elizabeth graduated summa cum laude from Northeastern University with a B.S. in political science and a minor in international relations. Her senior thesis analyzed the "politics of remembrance" and the ethical implications of visiting sites of atrocity.

Elizabeth Cullen

Researcher Serving Enterprise Architecture Professionals

Elizabeth is a researcher on the enterprise architecture team. Her research focuses on strategies to help organizations — including commercial firms, government agencies, and smart cities — derive value from data and analytics. Specifically, she is interested in the role data leadership plays in developing a culture that embraces analytically driven decisions. For smart cities, she supports research on how technology and policy officials can develop a citizen-centric strategy that leverages current open data initiatives and new technologies to improve favorability, services, and operations. In addition, Elizabeth analyzes trends in data commercialization, exploring the various business models and best practices for developing and delivering data products and services. These research areas often point to needing the help of service providers and a new engagement model where firms subscribe to actionable insights and decision support.

Previous Work Experience

Prior to this role, Elizabeth was a senior research associate on the enterprise architecture team. She supported several analysts with their research on big data technologies and strategies for deriving valuable insights.

Education

Elizabeth graduated summa cum laude from Northeastern University with a B.S. in political science and a minor in international relations. Her senior thesis analyzed the "politics of remembrance" and the ethical implications of visiting sites of atrocity.

Elizabeth Cullen's Research

Most RecentMost Popular
  • For Customer Insights Professionals

    REPORT: Forrester Infographic: AI Experiences A Reality Check

    Three Challenges Hold Firms Back From Achieving Enterprise AI Aspirations

    May 17, 2019 Michele 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 twist and turns, false starts, and lessons to learn — this infographic will help customer insights pros navigate it.

  • For Application Development & Delivery Professionals

    REPORT: Data Warehouse Automation Platforms Help Close The Data-To-Insight Gap

    Seven DWA Vendors Bring Agility To The Entire BI/Analytics Development Life Cycle

    April 24, 2019 Boris Evelson, Elizabeth Cullen

    Self-service business intelligence (BI), analytics, and data preparation platforms only partially support Agile development of BI applications. Parts of the process, like data modeling, still follow a less flexible waterfall development life cycle. In this report, application development and delivery (AD&D) pros will learn about data warehouse automation (DWA) vendors that bring Agile options to all phases of BI/analytics application development. These platforms facilitate shorter development cycles and require fewer human resources with specialized data modeling skills. This is an update of a previously published report; Forrester reviews and updates it periodically for continued relevance and accuracy. We revised this edition to factor in new data and examples.

  • For Customer Insights Professionals

    REPORT: Here's What You Missed At Forrester's 2018 Data Strategy & Insights Forum

    The Best Advice From Data And Insights Leaders On How To Build An Insights-Driven Business

    March 20, 2019 Srividya Sridharan, Gene Leganza, Emily Miller, Elizabeth Cullen

    Being a data, analytics, and insights leader is not an easy job. Forrester's inaugural Data Strategy & Insights Forum brought business and technology leaders together to share best practices and the lessons learned along their data journeys to drive business transformation. This brief provides a snapshot of the event's highlights and takeaways.

  • For Customer Insights Professionals

    REPORT: New Tech: Market And Competitive Intelligence (M&CI) Solutions, Q1 2019

    Forrester's Landscape Overview Of 27 Providers

    March 7, 2019 Cinny Little, Elizabeth Cullen

    A new crop of emerging technologies is turbocharging market and competitive intelligence (M&CI) professionals' ability to scale delivery of actionable insights. This report presents an overview of emerging vendors in the M&CI solutions market. Customer insights pros who work in M&CI should use it to understand the capabilities within different market segments to inform their technology strategies.

  • For Customer Insights Professionals

    REPORT: The Forrester Wave™: Enterprise Insights Service Providers, Q3 2018

    The 11 Providers That Matter Most And How They Stack Up

    September 19, 2018 Jennifer Belissent, Ph.D., Elizabeth Cullen

    In our 20-criterion evaluation of the enterprise insights service providers, we identified the 11 most significant ones — Accenture, Atos, Capgemini, Cognizant, Deloitte, EY, Infosys, KPMG, McKinsey & Company, PwC, and Wipro — and researched, analyzed, and scored them. This report shows how each provider measures up and helps customer insights (CI) professionals make the right choice.

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