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


BPR Cover Time to Value

Best Practices Report | Accelerating the Path to Value with BI and Analytics

June 29, 2017

This TDWI Best Practices Report focuses on current experiences with realizing value from BI and analytics and how organizations can accelerate the path to higher value.


TDWI Navigator Report Predictive Analytics cover image

TDWI Navigator Report | Predictive Analytics

June 29, 2017

Predictive analytics is on the verge of widespread adoption. In this report, Fern Halper provides an overview of the state of the predictive analytics market, as well as an overview of the key product offerings helping organizations realize value from predictive analytics.


BPR Data Lakes cover

Best Practices Report | Data Lakes: Purposes, Practices, Patterns, and Platforms

March 29, 2017

One of the more popular subjects in data modernization today is the addition of data lakes to many different ecosystems. This report defines data lake types and discusses emerging best practices, enabling technologies, and real-world use cases.


2017 Salary Survey Cover Image

2017 TDWI Salary, Roles, and Responsibilities Report

March 14, 2017

  Average bonuses soared 19.8 percent in 2016, to $17,210. Read more in the 2017 TDWI Salary, Roles, and Responsibilities Report.


Data Science and Big Data BPR Dec 2016 cover

Best Practices Report | Data Science and Big Data: Enterprise Paths to Success

December 21, 2016

Big data and data science can provide a significant path to value for organizations. Download this report for organizations’ experiences with and plans for big data and data science including both technology plans and organizational strategies.


Data Modernizations for the Telecommunications Industry Amdocs

TDWI Checklist Report | Data Modernization for the Telecommunications Industry

December 2, 2016

Now is the time for the telecommunications industry to devise a strategy for modernization of the data management environment in ways that streamline the end-to-end processes for ingesting, transforming, loading, reporting, delivering, and analyzing data. This Checklist Report describes a vision for the future that includes using an architecture that leverages a hybrid environment combining traditional enterprise data warehouse (EDW) techniques with the ability to deploy augmentation tactics on big data environments, such as those built using the Hadoop ecosystem.


Checklist Pentaho Data Lakes

TDWI Checklist Report | Emerging Best Practices for Data Lakes

December 1, 2016

Forward-looking businesses need discovery-oriented analytics, but discovery analytics tends to work best with large volumes of raw source data. The data lake enables analytics with big data and other diverse sources. This TDWI Checklist Report discusses many of the emerging best practices for data lakes.


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