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: 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.

  • For Application Development & Delivery Professionals

    REPORT: Next-Generation Business Intelligence Is Here — More Automated, Pervasive, And Actionable

    Vision: The Business Intelligence Playbook

    September 15, 2017 Boris Evelson

    Older-generation business intelligence (BI) applications cost too much and take too long to develop and deploy. In the next two to five years, only the insights-driven enterprises — those that can react swiftly to new and constantly changing customer and regulatory requirements — will succeed and survive. In this report, we reveal how application development and delivery (AD&D) pros can transform their existing data and analytics investments into systems of insight with fully automated, pervasive, and actionable BI. This is an update of a previously published report; Forresterreviews and updates it periodically for continued relevance and accuracy.

  • For Application Development & Delivery Professionals

    REPORT: Grow Your Business And Compete By Creating A Winning Business Intelligence Strategy

    Executive Overview: The Business Intelligence Playbook

    September 1, 2017 Boris Evelson

    Enterprise business intelligence (BI) is chock-full of challenges. Only partially a science, it remains mostly art based on best practices and lessons learned. Rather than reinvent the wheel, application development and delivery (AD&D) pros working on BI initiatives should leverage Forrester's business intelligence playbook — a series of reports with practical and actionable advice on how to jumpstart any BI initiative or turn around a failed one. 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 Forrester Wave™: Insight Platforms-As-A-Service, Q3 2017

    Google's Powerful Combination Of Machine Learning, Real-Time, And Insight Application Tools Makes It A Leader

    August 2, 2017 Brian Hopkins

    In our 36-criteria evaluation of insight platform-as-a-service (PaaS) providers, we identified the eight most significant ones — 1010data, Amazon Web Services (AWS), Databricks, GoodData, Google, IBM, Microsoft, and Qubole — and researched, analyzed, and scored them. This report shows how each provider measures up and helps enterprise architecture (EA) professionals make the right choice.

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