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All Data Management Publications & Research


Best of Business Intelligence Volume 8

TDWI's Best of Business Intelligence Volume 8

February 1, 2011

In this issue of the Best of Business Intelligence, Stephen Swoyer names insurgent BI and a return to end-user-oriented BI offerings as some of 2010’s trends, and Philip Russom shares his predictions for the coming year, asserting that advanced analytics has become a nexus for BI and DW.


Ten Mistakes to Avoid When Using Data Federation Technology

Ten Mistakes to Avoid When Using Data Federation Technology

December 6, 2010

Data federation is a relatively new form of data integration, but it has achieved a significant role in today’s data management strategies. Data federation allows data integration teams to quickly create virtually integrated sets of data for many purposes—business intelligence (BI), customer relationship management (CRM), master data management (MDM), and so on.


Data Integration for Real-Time Data Warehousing and Data Virtualization

Data Integration for Real-Time Data Warehousing and Data Virtualization

October 29, 2010

If your organization is among the vast majority of businesses looking to implement real-time data warehousing or data integration functions, download this report for a practical look at some critical questions.


Operational Data Warehousing

Operational Data Warehousing: The Integration of Operational Applications and Data Warehouses

October 1, 2010

This report gives readers a jump-start on their journey toward operational data warehousing by describing its enabling technologies and real-world business use cases, providing useful planning information for both business and technical managers.


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.


Cost Justification for Metadata Management

Cost Justification for Metadata Management

August 16, 2010

This TDWI Checklist Report explains how to provide justification for time and money invested in metadata management solutions.


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.


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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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