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Business Intelligence Journal

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Business Intelligence Journal, Volume 16, Number 4

Business Intelligence Journal | Vol. 16, No. 4

December 5, 2011

Exploring the power of master data management with social media data; moving to real-time BI; pervasive BI; agile project management; and more.


Business Intelligence Journal, Volume 16, Number 3

Business Intelligence Journal | Vol. 16, No. 3

September 12, 2011

This quarter, our exclusive collection of the best thought pieces in the industry features tips on moving toward real-time data warehousing; pointers on knowledge management and documentation; expert perspectives on infrastructure for advanced analytics; and more.


Business Intelligence Journal, Volume 16, Number 2

Business Intelligence Journal | Vol. 16, No. 2

June 20, 2011

Learn how a transportation company implemented an innovative, real-time mobile BI solution with a strong ROI; how the Cincinnati Zoo used analytics to tame its data; and how geospatial BI is helping businesses keep pace with mobile customers. PLUS: Our cover story explains how the application of game mechanics will change BI for the better.


Business Intelligence Journal, Vol 16 No 1

Business Intelligence Journal | Vol. 16, No. 1

March 21, 2011

Knowledge is power. The question is, do you have the right knowledge? This issue, we look at business analytics, structured/unstructured data, visual reporting, success factors for BI/DW, and more.


Business Intelligence Journal, Vol 15, No 4

Business Intelligence Journal | Vol. 15, No. 4

December 6, 2010

When times get tough, the tough get going—and they do their homework. In this issue, we look beyond the intelligence we can gather about our customers and focus on gathering intelligence about our competitors. PLUS: Balanced scorecards, Web personalization for customers, agile data warehousing techniques, and more.


Business Intelligence Journal, Vol. 15, No. 3

Business Intelligence Journal | Vol. 15, No. 3

September 13, 2010

In our lead story, senior editor Hugh J. Watson reminds us that the more things change, the more they stay the same. He proposes eight tried and true guidelines that he says have stood the test of time. Watson may be on to something. There’s a reason classic recommendations are, well, classic. For example, in this issue our BI experts found a common, familiar theme in suggesting how a new BI director can reestablish credibility when proposing a centralized approach to BI: they highlight the critical need for an executive sponsor.


Business Intelligence Journal | Vol. 15, No. 2

Business Intelligence Journal | Vol. 15, No. 2

June 14, 2010

In good economies and bad, the secret to success is to meet your customers’ or clients’ needs. Your enterprise has to respond to changing conditions and emerging trends, and it has to do so quickly. Your organization must be, in a word, agile.


Business Intelligence Journal, Volume 15, Number 1

Business Intelligence Journal | Vol. 15, No. 1

March 22, 2010

There’s no such thing as too much communication—except, perhaps, for junk mail. In the articles featured in this issue, we explore how communication is key to your BI success.


Business Intelligence Journal | Vol. 14, No. 4

December 7, 2009

For years, business users felt that IT held them hostage. Projects seemed to take forever, weren't exactly what users wanted when they were installed, and the queue of BI projects just seemed to grow and grow ... and grow. In this issue we examine several technologies that have helped change all that.


Business Intelligence Journal | Vol. 14, No. 3

August 31, 2009

In journalism school, we were taught to explain “five Ws and an H” in every story we wrote: who, what, when, where, why, and how. We’ve applied that principle to this issue of the Business Intelligence Journal.


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Channels by Topic

  • Agile BI »
    Includes:
    • Agile
    • Scoping
    • Principles
    • Iterations
    • Scrum
    • Testing
  • Big Data Analytics »
    Includes:
    • Advanced Analytics
    • Diverse Data Types
    • Massive Volumes
    • Real-time/Streaming
    • Hadoop
    • MapReduce
  • Business Analytics »
    Includes:
    • Advanced Analytics
    • Predictive
    • Customer
    • Spatial
    • Text Mining
    • Big Data
  • Business Intelligence »
    Includes:
    • Agile
    • In-memory
    • Search
    • Real-time
    • SaaS
    • Open source
  • Data Analysis and Design »
    Includes:
    • Business Requirements
    • Metrics
    • KPIs
    • Rules
    • Models
    • Dimensions
    • Testing
  • Data Management »
    Includes:
    • Data Quality
    • Integration
    • Governance
    • Profiling
    • Monitoring
    • ETL
    • CDI
    • Master Data Management
    • Analytic/Operational
  • Data Warehousing »
    Includes:
    • Platforms
    • Architectures
    • Appliances
    • Spreadmarts
    • Databases
    • Services
  • Performance Management »
    Includes:
    • Dashboards, Scorecards
    • Measures
    • Objectives
    • Compliance
    • Profitability
    • Cost Management
  • Program Management »
    Includes:
    • Leadership
    • Planning
    • Team-Building
    • Staffing
    • Scoping
    • Road Maps
    • BPM, CRM, SCM
  • Master Data Management »
    Includes:
    • Business Definitions
    • Sharing
    • Integration
    • ETL, EAI, EII
    • Replication
    • Data Governance

Meet the Analysts

  • Philip Russom

    Philip Russom

    is senior manager of TDWI Research. He is a well-known figure in business intelligence, having worked as an industry analyst covering BI and related issues for Forrester Research, Giga Information Group, Hurwitz Group, and his own private BI practice. At TDWI, he specializes in data warehousing and data integration issues. He is the author of many in-depth reports and is a frequent speaker at TDWI conferences and Webinars; he is also chair of TDWI’s Solution Summit on Master Data Management. He can be reached at prussom@tdwi.org

    View a selection of Philip's contributions

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