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All Data Management Publications & Research


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.


TDWI Checklist Report: Satisfying New Requirements for Data Integration

TDWI Checklist Report: Satisfying New Requirements for Data Integration

June 27, 2012

Mounds of structured data, unstructured data, big data, and advancements in cloud technology are imposing new requirements for data integration. This TDWI Checklist Report will explore some of the key drivers these new requirements are intended to address. Whether you are looking to support the performance needs of big data applications, filter concepts from unstructured data, monitor hundreds of data feeds for unexpected behavior, export data across enterprise boundaries, or provide real-time reporting and analysis, there is a rapidly expanding need for data integration competency that extends well beyond traditional ETL.


TDWI E-Book: Big Data Integration

June 20, 2012

Data integration has long been a challenge for BI professionals. Now big data is adding a few wrinkles to the process. Download this TDWI E-Book to learn more about the current state of big data integration, why more data can create more problems, and to read expert Q&A about addressing this important new trend.


TDWI Checklist Report: Strategic Planning for Big Data Management

TDWI Checklist Report: Strategic Planning for Big Data Management

May 9, 2012

This TDWI Checklist Report provides grounding for developing a strategic business intelligence (BI) plan for agility when adopting innovative data management and utilization techniques, while retaining a line of sight to corporate mission and corresponding business objectives.


TDWI Best Practices Report: Next Generation Master Data Management

Next Generation Master Data Management

April 2, 2012

Master data management (MDM) is one of the most widely adopted data management disciplines of recent years. This report accelerates users’ understanding of the many new user best practices, solutions, and tools that have emerged as next generation MDM. It also helps readers map their options to real-world use cases and develop a strategy for MDM.


TDWI Checklist Report: Data Replication for Real-Time Data Warehousing and Analytics

TDWI Checklist Report: Data Replication for Real-Time Data Warehousing and Analytics

April 2, 2012

This TDWI Checklist Report gives data replication the recognition it deserves, as a highly useful data integration technique for real-world applications in business intelligence (BI), data warehousing (DW), analytics, and general data management. But not all replication tools are created equal, and this report explains which capabilities you should look for in a tool.


Best of Business Intelligence Volume 9

TDWI's Best of Business Intelligence Volume 9

February 1, 2012

In this issue of the Best of Business Intelligence, Stephen Swoyer calls 2011 “the year in which social media emerged as one of several forces … that will fundamentally transform BI as we know it.” Plus, TDWI Research analysts Philip Russom and David Stodder share predictions for 2012.


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

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