Big Data

Measured in terms of volume, velocity, and variety, big data represents a major disruption in the business intelligence and data management landscape, upending fundamental notions about governance and IT delivery. With traditional solutions becoming too expensive to scale or adapt to rapidly evolving conditions, companies are scrambling to find affordable technologies that will help them store, process, and query all of their data. Innovative solutions will enable companies to extract maximum value from big data and create differentiated, more personal customer experiences.

Latest Research

  • For Enterprise Architecture Professionals

    REPORT: Battle Of The Data Lakes: Customer Insight Versus Enterprise Platform

    February 16, 2018 Michele 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: Insight Platforms Connect Data To Action

    Intermediate Level: Technology Practices For Insights-Driven Businesses

    January 24, 2018 Brian Hopkins

    The pace of innovation and availability of data are outstripping firms' ability to keep up. Read this report to understand how an emerging class of software — insight platforms — can better connect data to action, which is what your business really wants. You likely already have several or perhaps many of these platforms. This report will help enterprise architecture (EA) pros and their peers identify them all, fill critical gaps, and assign different insight platforms to strategic or tactical roles. This is an update to a previously published report.

  • For CIO Professionals

    REPORT: Digital Insights Are The New Currency Of Business

    Beginner Level: Technology Practices For Insights-Driven Businesses

    January 12, 2018 Brian Hopkins, Ted Schadler

    Businesses are drowning in data but starving for insights. Worse, they have no systematic way to consistently turn data into action. This can't continue. Demanding customers and competitive pressures require firms to treat insights — not just data — as a business asset. Firms need to create "systems of insight," a combination of people, process, and technology, to close the gap between insights and action. Read this report to see how CIOs can lead their firms to find, test, and codify digital insights in software, leading to more intelligent engagement and better decisions. This is an update to a previously published report.

  • For Enterprise Architecture Professionals

    REPORT: Data Technology Pathfinder

    Landscape: The Data Management Playbook

    November 14, 2017 Michele 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 CIO Professionals

    REPORT: Predictions 2018: The Honeymoon For AI Is Over

    Success At Artificial Intelligence Means Hard Work — Treat It Like A Plug-In Panacea And Fail

    November 9, 2017 Boris Evelson, Michele Goetz, Brian Hopkins

    The honeymoon for enterprises naively celebrating the cure-all promises of artificial intelligence (AI) technologies is over. Forrester predicts that 2018 will be the year when a majority of enterprises start dealing with the hard facts: AI and all other new technologies like big data and cloud computing still require hard work. This report offers CIOs working on data and analytics initiatives 10 predictions for 2018 with pragmatic and tangible recommendations they can start acting on now.

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