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Research: 2012 BI and Information Management

Henschen, Doug | 11/17/11
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Research: 2012 BI and Information Management Trends

Our InformationWeek 2012 Business Intelligence, Analytics and Information Management Survey shows the old practice of following the money, using lagging financial indicators to guide a company’s decisions, giving way to the forward-looking approach of following the data. Organizations are gathering, managing and analyzing not only more information but more types of information, all with the idea of using advanced predictive and statistical analytics to improve internal operations, get closer to customers, sell and market products more effectively across physical and digital commerce channels, and outperform the competition.

Other top-line trends: Slightly fewer respondents have standardized on one or a few BI/analytics products deployed throughout the company vs. our previous survey. Just 8% give all employees access to BI/analytics data. And the number of respondents citing data-quality problems as a barrier to adopting BI/analytics products enterprisewide fell nine points, to 46%. (R3551111)

Survey Name: InformationWeek 2012 Business Intelligence, Analytics and Information Management Survey
Survey Date: October 2011
Region: North America
Number of Respondents: 542
Purpose: To examine adoption trends and strategies around business intelligence, analytics and information management.

 

Table of Contents

    3 Author’s Bio
    4 Executive Summary
    5 Research Synopsis
    6 The 2012 Outlook for BI and Information Management
    7 Advanced Analytics Defined
    10 P&G Gets Predictive
    13 BI on an iPad?
    17 Cincinatti Zoo Goes Mobile
    19 Warming Up to the Cloud
    24 Parallels in Data Management
    29 Appendix

About the Author

SAP's Bill McDermott On IT Priorities In a Tough Economy

Doug Henschen is executive editor of InformationWeek, where he covers the intersection of enterprise applications with information management, business intelligence, analytics and big data analysis. He previously served as editor in chief of Intelligent Enterprise and has covered IT and data-driven marketing for the last 14 years of his 29-year career in publishing.

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