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TDWI Best Practices Reports


TDWI Best Practices Report Q3 2014

Best Practices Report | Business-Driven BI and Analytics

June 25, 2014

Download this report to learn how business-side leadership can step up to ensure that chaos does not reign in the era of less direct IT involvement, and provide direction for the adoption of new technologies and practices for the betterment of the enterprise as a whole.


TDWI Best Practices Report Q2 2014

Best Practices Report | Evolving Data Warehouse Architectures in the Age of Big Data

April 1, 2014

Download this report to learn about the evolution of data warehousing architectures thanks to major drivers such as big data, advanced analytics, and real-time operation.


TDWI Best Practices Report Q1 2014

TDWI Best Practices Report | Predictive Analytics for Business Advantage

December 20, 2013

Predictive analytics is a technology whose time has finally come. Download this report to learn recommendations and best practices for successfully implementing predictive analytics to accelerate business advantage.


TDWI Best Practices Report Managing Big Data

TDWI Best Practices Report | Managing Big Data

October 1, 2013

This Best Practices Report examines how organizations are leveraging their big data assets, the challenges they face, future trends in user practices and vendor tools, and 10 priorities for the years ahead.


TDWI Best Practices Report | Data Visualization and Discovery for Better Business Decisions

July 1, 2013

Good data visualization is critical to making smarter decisions and improving productivity. Download this report to learn how your organization can use data visualization, visual analytics, and data discovery to improve decision making, collaboration, and operational execution.


TDWI Best Practices Report Q2 2013

TDWI Best Practices Report | Integrating Hadoop into Business Intelligence and Data Warehousing

April 1, 2013

Hadoop promises to assist with the toughest challenges in BI today, including big data, advanced analytics, and multi-structured data. Download this TDWI Best Practices Report to learn how to integrate Hadoop into your business intelligence, analytics, data integration, and data warehousing technology stacks.


TDWI Best Practices Report Q1 2013

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.


TDWI Best Practices Report Q4 2012

TDWI Best Practices Report | High-Performance Data Warehousing

October 1, 2012

In the age of "big data," high-performance data warehousing is primarily about achieving speed and scale while also coping with increasing complexity and concurrency. The tips and strategies presented in this research can help user organizations prioritize their acquisition of vendor tools and their adoption of design best practices.


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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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