What is your e-mail address?

My e-mail address is:

Do you have a password?

Forgot your password? Click here
close

All Data Management Publications & Research


TDWI Checklist Report // Seven Tips for Unified MDM with Data Quality and Data Governance

May 13, 2014

Master data management (MDM) can be practiced many different ways, with various user conventions and a broad array of vendor-built technologies. However, this report focuses on a specific practice called unified MDM, and examines the characteristics typical of business programs and technical solutions for unified MDM.


TDWI Checklist Report // Active Data Archiving for Big Data, Compliance, and Analytics

May 6, 2014

Users must start planning today for active data archiving. To help them prepare, this TDWI Checklist report will drill into the desirable attributes, use cases, user best practices, and enabling technologies of active data archiving.


TDWI Checklist Report // Eight Steps for Using Analytics to Gain Value from Text and Unstructured Content

April 28, 2014

Following TDWI’s previous Checklist Report on this topic, How to Gain Insight from Text, this Checklist discusses the relevance of text analytics for improving user experiences with the semi-structured and unstructured textual big data now at their disposal.


TDWI Checklist Report: Using Next-Generation Analytics to Gain Value from Enterprise Reports

TDWI Checklist Report // Using Next-Generation Analytics to Gain Value from Enterprise Reports: Six Best Practices

April 9, 2014

New techniques are emerging to help business analysts automate the extraction of information from reports stored in enterprise content management systems and use it for analysis. This Checklist Report focuses on helping organizations understand how to get started with report analysis.


TDWI Business Intelligence Journal, Volume 19, Number 1

Business Intelligence Journal | Vol. 19, No. 1

March 17, 2014

  In this issue of the Business Intelligence Journal, we look at “big” and “small” from a variety of perspectives--from big data to BI on mobile devices. Plus, learn how game theory can be applied to data governance, about the rise of the BI smart machine, and more.


TDWI Checklist Report // Eight Considerations for Utilizing Big Data Analytics with Hadoop

March 10, 2014

As enterprises look to embrace big data and Hadoop, they have numerous questions about data preparation, visualization, available analytical techniques, in-memory processing, and more. This Checklist Report focuses on these questions and provides information to help you explore big data analytics with Hadoop.


TDWI E-Book: Big Data Management

TDWI E-Book // Big Data Management

January 28, 2014

Big data is part of the new IT environment—and it’s here to stay. Now is the time to begin a big data implementation. But where do you start?


Back to Top

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

Sponsored Links