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TDWI Checklist Report Series


TDWI Checklist Report // Trusted Information for Analytics

March 27, 2013

Trusted information is a critical success factor for any decision-making process that employs data warehousing, business intelligence, or business analytics. In this TDWI Checklist Report, we look at key tasks and activities that bolster the organization’s level of trust in information.


TDWI Checklist Report // Seven Steps to Deploying Visual Analytics for Improving Actionable Insight

TDWI Checklist Report // Seven Steps to Deploying Visual Analytics for Improving Actionable Insight

March 15, 2013

This TDWI Checklist Report details seven steps for successful visual analytics intended to help organizations develop strategies for improving actionable insight to a growing population of users.


TDWI Checklist Report // Taking IT to the Next Level: Next-Generation Data Integration

TDWI Checklist Report // Taking IT to the Next Level: Next-Generation Data Integration

March 1, 2013

The next generation of data integration seamlessly combines streamlined development with fully integrated data accessibility, quality, and utility. This report presents a series of recommendations for developing a value justification for engaging business sponsors, as well as developing a strategic IT road map promoting the value of data architecture and data integration.


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 Checklist Report: Analytic Databases for Big Data

TDWI Checklist Report // Analytic Databases for Big Data

October 4, 2012

This report presents a requirements checklist for analytic DBMSs with a focus on their use with big data. You will also learn definitions for the many techniques and tool types involved. The report will help you evaluate analytic databases and/or develop strategies for big data analytics.


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.


TDWI Checklist Report // Operational Analytics: Balancing Business Benefits and Technology Costs

TDWI Checklist Report // Operational Analytics: Balancing Business Benefits and Technology Costs

September 5, 2012

This TDWI Checklist Report examines the business drivers and technology requirements for deploying operational analytics. The main objectives of the Checklist are to identify specific business benefits of operational analytics, review the ways these benefits can be achieved, and explain the potential trade-offs or IT costs involved.


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.


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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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