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Business Intelligence Journal

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Business Intelligence Journal, Volume 17, Number 4

Business Intelligence Journal | Vol. 17, No. 4

December 10, 2012

 In this issue of the Business Intelligence Journal, you'll learn the necessary skills for advanced analytics. Do you have what it takes? We also look at BI dashboard development from both a practical and an agile perspective; present tips from four experts on implementing mobile apps for the first time; examine data “government” models for healthcare; and more.


Business Intelligence Journal, Volume 17, Number 3

Business Intelligence Journal | Vol. 17, No. 3

September 17, 2012

 One for all and all for one! In this issue, learn about soft skills (read: people skills) for professional success; collaborative, team-based decision making; and how to attract and retain new analytics talent. You'll also learn about business analytics requirements and characteristics and take a detailed look at pragmatic testing. Finally, review the industry's most successful implementations in our annual TDWI Best Practices Awards winners announcement.


Business Intelligence Journal, Vol. 17, No. 2

Business Intelligence Journal | Vol. 17, No. 2

June 18, 2012

 This issue takes you through the ABCs of the latest trends ... from advanced analytics, to appliances, to big data, to context for intelligence. Read this issue and learn how to use big data in regulatory compliance; how to deal with the new data scientists in our midst; how to do BI/DW on a limited budget; and more.


Business Intelligence Journal, Volume 17, Number 1

Business Intelligence Journal | Vol. 17, No. 1

March 19, 2012

 Democratic Analytics: Learn how two organizations succeeded in putting BI in users’ hands. The 2020 Workplace: “Swarming,” “hyperconnectedness,” and other BI trends of the future. Strong Leadership: Why it’s essential for data integrity.


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.


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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
  • BI Leadership »
    Includes:
    • Latest Trends
    • Technologies
    • Thought Leadership
  • 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 director of TDWI Research for data management and oversees many of TDWI’s research-oriented publications, services, and events. Before joining TDWI in 2005, Russom was an industry analyst covering BI at Forrester Research, Giga Information Group, and Hurwitz Group. He also ran his own business as an independent industry analyst and BI consultant and was a contributing editor with leading IT magazines. Before that, Russom worked in technical and marketing positions for various database vendors. He can be reached at prussom@tdwi.org

    View a selection of Philip's contributions
  • David Stodder

    David Stodder

    is director of TDWI Research for business intelligence. He focuses on providing research-based insight and best practices for organizations implementing BI, analytics, performance management, data discovery, data visualization, and related technologies and methods. He is the author of recent TDWI Checklist Reports on data discovery and information management, and an upcoming Best Practices report on mobile BI and analytics. Stodder has provided thought leadership on BI, information management, and IT management for over two decades. Previously, he headed up his own independent firm and served as vice president and research director with Ventana Research. He was the founding chief editor of Intelligent Enterprise and served as editorial director for nine years. He was also one of the founders of Database Programming & Design magazine and directed the Database Summit Series conferences. He can be reached at dstodder@tdwi.org

    View a selection of David's contributions
  • Fern Halper

    Fern Halper

    is director of TDWI Research for advanced analytics, focusing on predictive analytics, social media analysis, text analytics, cloud computing, and other “big data” analytics approaches. She has more than 20 years of experience in data and business analysis, and has published numerous articles on data mining and information technology. Halper is co-author of “Dummies” books on cloud computing, hybrid cloud, service-oriented architecture, and service management, and is currently completing Big Data for Dummies (to be published in April 2013). She has been a partner at industry analyst firm Hurwitz & Associates and a lead analyst for AT&T Bell Labs. Her Ph.D. is from Texas A&M University. You can reach her at fhalper@tdwi.org, or follow her on Twitter: @fhalper

    View a selection of Fern's contributions

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