Business Intelligence

Forrester defines the business intelligence (BI) market as a set of methodologies, processes, architectures, and technologies that leverage the output of information management processes for analysis, reporting, performance management, and information delivery. Research coverage includes executive dashboards as well as query and reporting tools.

Latest Research

  • For Application Development & Delivery Professionals

    REPORT: The Forrester New Wave™: Automation-Focused Machine Learning Solutions, Q2 2019

    The Nine Providers That Matter Most And How They Stack Up

    May 28, 2019 Kjell Carlsson, Ph.D., Mike Gualtieri

    In Forrester's evaluation of the emerging market for automation-focused machine learning (AutoML) solutions, we identified the nine most significant providers in the category — Aible, Bell Integrator, Big Squid, DataRobot, DMway Analytics, dotData, EdgeVerve, H2O.ai, and Squark — and evaluated them. This report details our findings about how well each vendor scored against 10 criteria and where they stand in relation to each other. Application development and delivery (AD&D) pros can use this review to select the right partner for their AutoML needs.

  • For Customer Insights Professionals

    REPORT: Use The Goal-KPI-Action-Data (GKAD) Framework To Align, Measure, And Act

    Beginner Level: Process Practices For Insights-Driven Businesses

    May 17, 2019 Cinny Little

    Firms must transform into insights-driven businesses. These businesses use data for insights that are always actionable, and they make insights-to-action a team sport. They accomplish this by aligning across silos on the outcomes that matter most and applying actionable insights to optimizing them. This report provides a framework that customer insights pros can use to align business, operations, data, and technology colleagues on common goals. This is an update of a previously published report; Forrester reviews and revises it periodically for continued relevance and accuracy.

  • For CIO Professionals

    REPORT: The Four Essential Steps To Transform Into An Insights-Driven Business

    The Strategy Report In The Insights-Driven Business Playbook

    May 14, 2019 Cinny Little

    Being insights driven is not just new terminology for big data; it's an operational transformation that firms must pivot to now or risk losing out to competitors old and new. But enterprise-level transformation is complex and expensive. It's hard to know where to begin, how to define the end state, and how to avoid getting lost along the way. In this report, we describe four steps for creating a strategy to become insights driven for CIOs to use in building a plan that succeeds. This is an update of a previously published report; Forrester refreshes this report regularly based on new research.

  • For CIO Professionals

    REPORT: How To Achieve The Healthcare Quadruple Aim With Artificial Intelligence

    Strategies For Success Today And Beyond

    April 30, 2019 Arielle Trzcinski, Kjell Carlsson, Ph.D., Jeff Becker

    When healthcare organizations (HCOs) deploy AI effectively, it enables them to achieve the Quadruple Aim. HCOs still face challenges executing on their AI strategies; however, many have seen early success. This report sheds light on successful use cases, brings lessons learned from AI deployments, and guides healthcare CIOs on how to push their AI investment forward. Learn how to accelerate your path toward getting started with AI or expand your current AI implementation in healthcare.

  • For Application Development & Delivery Professionals

    REPORT: The Future Of Machine Learning Is Unstoppable

    Advanced Level: Technology Practices For Insights-Driven Businesses

    April 25, 2019 Mike Gualtieri, Brandon Purcell, Kjell Carlsson, Ph.D.

    Machine learning (ML) is the fundamental building block of artificial intelligence (AI). It can make predictions. It can make decisions. It can recognize patterns. It scales enterprise "smarts" by learning from data to augment employees, customers, and applications with intelligence — artificial albeit. ML is not a passing trend; it is a megatrend that will transform business and society. Application development and delivery (AD&D) pros should read this report to understand Forrester's take on the future of enterprise machine learning.

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