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TDWI Checklist Report Series


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 Checklist Report: Seven Considerations for Navigating Big Data Cloud Services

TDWI Checklist Report // Seven Considerations for Navigating Big Data Cloud Services

February 18, 2014

This Checklist Report focuses on helping organizations understand key considerations and best practices for utilizing cloud services for big data.


TDWI Checklist Report // Seven Use Cases for Geospatial Analytics

December 11, 2013

Geospatial information can be extremely helpful in a variety of analytics ranging from marketing to operations management. This checklist introduces readers to the range of use cases where geospatial analytics is being used today to support analysis.


TDWI Checklist Report // Seven Steps to Realizing Value from Business Intelligence and Discovery Analytics for Healthcare Providers

November 21, 2013

This Checklist Report will help healthcare provider organizations develop strategies for employing BI, data discovery, and analytics tools and technologies.


TDWI Checklist Report: The Modern Data Warehouse

TDWI Checklist Report // The Modern Data Warehouse: What Enterprises Must Have Today and What They'll Need in the Future

November 18, 2013

For organizations that need a modern data warehouse that satisfies new and future requirements, we offer a checklist of our top six recommendations. These can guide your selection of vendor products and your solution design.


TDWI Checklist Report // Hadoop Best Practices for Data Warehousing, Data Integration, and Analytics

October 29, 2013

This checklist of best practices can help users make sustainable decisions as they plan their first Hadoop deployments.


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 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

Sponsorship

For information about sponsorship contact Denelle Hanlon at dhanlon@tdwi.org or 425-277-9130

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