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Business Intelligence Journal

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Business Intelligence Journal | Vol. 18, No. 4

December 9, 2013

 Download this issue to learn best practices for IT and business users in big data projects; how to fill the demand for data scientists; how to align business strategy with BI capabilities; and more.

Business Intelligence Journal | Vol. 18, No. 3

September 16, 2013

 In this issue, you'll find out why big data is the fourth generation of data management and learn how to maximize insight from unstructured data. Plus, our experts look at real-time data warehousing, the future of master data management, data governance, and other timely, trending topics. In addition, the TDWI Best Practices Awards winners are announced.

Business Intelligence Journal | Vol. 18, No. 2

June 17, 2013

 This issue features a look at managing ethics in BI, which is becoming an important new concern. We also reveal insights on hiring for BI and analytics—where can you find top talent? Our experts delve into forging an IT/business partnership, and much more.

Business Intelligence Journal | Vol. 18, No. 1

March 18, 2013

 Download this issue to learn six practical steps for integrating and acting on social media. Our authors also reveal the keys to making self-service BI sustainable, and they take a hard look predictive analytics, in-memory analytics, and analytic platforms. You'll also read about mobile BI, Hadoop for big data, career advice, and the philosophy of postmodern BI.

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 | 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.

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Channels by Topic

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


For information about sponsorship contact Scott Geissler at sgeissler@tdwi.org or 248-658-6365

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