RESEARCH & RESOURCES

Featured Research

  • TDWI Pulse Report | Developing Data Strategy for IoT hortonworks pulse report cover image

    This TDWI Pulse Report discusses some best practices for developing an IoT data strategy. It examines the organizational as well as the data and analytics aspects of such a strategy. This includes organizational alignment, understanding the unique nature of IoT, and other issues at play when managing and analyzing this “new” kind of data. June 29, 2018 Read Now

  • TDWI Pulse Report | Reducing Inefficiency and Increasing the Value of Analytics and Business Intelligence Data watch Pulse Report cover image

    This first in a new series of reports offers focused research and analysis of trending analytics, business intelligence, and data management issues facing organizations. TDWI Pulse Reports are designed to educate technical and business professionals and aid them in developing strategies for improvement. March 29, 2018 Read Now

  • TDWI Checklist Report | Six Strategies for Balancing Compliance with Data Value TDWI Checklist Report cover

    Businesses can only seize new data-driven opportunities if they recognize sensitive data and handle it responsibly. This report focuses on how targeted improvements to specific data management best practices and technology can contribute significantly to your success with GDPR compliance, as well as data governance and data-driven programs in general. March 6, 2018 Read Now

Research Reports


TDWI Checklist Report | Seven Keys to Data Blending

August 18, 2014

Data blending isn’t simply a matter of throwing data together; issues like data quality still need to be addressed. This Checklist Report focuses on helping organizations understand the steps and features that are part of data blending.


TDWI Checklist Report | Demystifying Cloud BI: Six Issues to Consider

August 14, 2014

This Checklist Report focuses on helping organizations demystify several cloud BI issues. It examines the models emerging as companies adopt the cloud.


TDWI Checklist Report | Preparing Your Organization for In-Memory Computing

August 7, 2014

This TDWI Checklist Report will help your organization prepare for in-memory computing by discussing how it improves application performance. In-memory computing enables the peaceful coexistence of transaction processing and analytics without demanding data extraction, transformations, rampant replication, and heterogeneous computing platforms.


TDWI Checklist Report | Moving Beyond Spreadsheets: Six Steps for Enabling Small and Midsize Businesses to Gain Data Insights

August 1, 2014

This TDWI Checklist Report details six areas where small and midsize businesses (SMBs) should focus as they move beyond spreadsheets to improve capabilities for gaining data insights.


TDWI Checklist Report | Applying Analytics with Big Data for Customer Intelligence: Seven Steps to Success

July 15, 2014

Big data analytics is about applying advanced methods and technologies to derive insights from very large and diverse data sets that often include varied data types and streaming data. This TDWI Checklist Report discusses steps for realizing value from big data and analytics for better customer intelligence.


TDWI Checklist Report | Adopting Next-Generation Data Technologies

June 26, 2014

Tools from new vendors incorporating new big data technologies (such as Hadoop) for distributed and parallel computing and NoSQL data management are rapidly being evaluated and brought into organizations. At the same time, numerous vendors of traditional platforms are offering the same or similar new technologies that are more robust and have more enterprise-ready capabilities than the new technologies can provide. This Checklist Report offers several important items to consider for your data management infrastructure, whether your implementation is on-premises, in the cloud, or a hybrid.


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.


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