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All Data Management Publications & Research


TDWI E-Book // From Enterprise to Personal Search: Flipping the Search Landscape

January 6, 2014

Download this e-book to learn about the benefits of enterprise search, and why traditional search no longer provides users the complete picture of an enterprise's information.


TDWI Business Intelligence Journal, Volume 18, Number 4

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.


Ten Mistakes to Avoid When Creating Your Data Strategy

Ten Mistakes to Avoid When Creating Your Data Strategy

November 12, 2013

 

By Mark Madsen

Data strategy focuses on how data can be used as a resource to further the goals of a business strategy. This means building capabilities: treating data as an asset, organizing to make better use of it, and building the necessary management and technology infrastructure. There are many ways to build capabilities. Choices impose constraints and trade-offs, which are the essence of crafting a set of policies, procedures, and plans that make up a data strategy. This Ten Mistakes to Avoid focuses on many common mistakes we make when crafting a data strategy.


TDWI Best Practices Report Managing Big Data

TDWI Best Practices Report | Managing Big Data

October 1, 2013

This Best Practices Report examines how organizations are leveraging their big data assets, the challenges they face, future trends in user practices and vendor tools, and 10 priorities for the years ahead.


TDWI Checklist Report // How to Gain Insight from Text

September 17, 2013

This TDWI Checklist Report takes a look at text analytics and how to get started with this new technology that can help you improve and gain new insight.


TDWI Business Intelligence Journal, Volume 18, Number 3

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.


TDWI Checklist Report // Operational Intelligence: Real-Time Business Analytics from Big Data

TDWI Checklist Report // Operational Intelligence: Real-Time Business Analytics from Big Data

July 22, 2013

This TDWI Checklist Report drills into the many technologies and capabilities needed to make operational intelligence possible for a technology team and successful for a business.


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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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