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All Data Management Publications & Research


TDWI Checklist Report // Integrating Structured and Unstructured Data

February 11, 2013

The challenge of integrating structured and unstructured data will be a key factor for big data success. This report examines key planning directives and helps scope best practices for integrating structured and unstructured data as critical tactical components of a modern information strategy.


TDWI Best Practices Report: Achieving Greater Agility with Business Intelligence

TDWI Best Practices Report | Achieving Greater Agility with Business Intelligence

January 4, 2013

The information that flows from BI, analytics, and data warehousing systems can help organizations find a decision-making balance that avoids the extremes of snap decisions and rigid processes. This new survey-based research report examines benefits, barriers, technology solutions, and recommendations for achieving greater agility with business intelligence.


Ten Mistakes to Avoid In Data Resource Management

Ten Mistakes to Avoid In Data Resource Management

December 7, 2012

 

By Dave Wells

Data is an essential business resource that is as critical to business success as financial and human resources are. The disciplines of data resource management include strategy, architecture, and governance. Mistakes to avoid in data resource management span all three disciplines.


TDWI E-Book: Self-Service BI

TDWI E-Book: Self-Service BI

November 15, 2012

Download this TDWI E-Book to find out why turning business people into self-empowered “analytic explorers” involves more than just equipping them with discovery tools and turning them loose on massive data sets.


TDWI Checklist Report Geospatial Analytics

TDWI Checklist Report // Using Location Information for Geospatial Analytics

September 26, 2012

This TDWI Checklist Report presents tips for aligning geospatial information with the business intelligence environment, empowering analytics to use location data to yield operational efficiencies, revenue growth, and other potential benefits.


Why MDM Needs Data Governance

TDWI Checklist Report: Seven Reasons Why Master Data Management Needs Data Governance

August 29, 2012

There are good technology and business reasons why master data management needs data governance. This TDWI Checklist Report drills into seven of these reasons as well as use cases and organizational situations where DG and MDM work well together.


TDWI Best Practices Report: Customer Analytics in the Age of Social Media

TDWI Best Practices Report | Customer Analytics in the Age of Social Media

July 2, 2012

Customer analytics and intelligence initiatives are undergoing major changes with the explosion in detailed customer behavior data, including that generated by social media. Today, organizations implement a variety of technologies to analyze customer data, including business intelligence (BI) tools, data warehouses, analytic databases, predictive analytics, and more. This report examines organizations’ experiences with customer analytics technologies in the age of social media and recommend best practices for improving customer intelligence and reaching customer-centric goals.


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Channels by Topic

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    Includes:
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    Includes:
    • Advanced Analytics
    • Diverse Data Types
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    • Real-time/Streaming
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  • Business Analytics »
    Includes:
    • Advanced Analytics
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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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