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


Delphix Checklist Report cover image

Seven Ways to Liberate Data with a Platform for DataOps

October 31, 2018

Existing enterprise infrastructures are engineered in a way that complicates some types of data provisioning. In this checklist, we will consider the benefits of a platform-based approach to DataOps that addresses some of these complexities.


Syncsort Checklist Report

TDWI Checklist Report | Five Data Engineering Requirements for Enabling Machine Learning

October 26, 2018

This TDWI Checklist Report discusses best practices for data engineering and management to support machine learning with a focus on collecting, cleansing, transforming, and governing new types of data for analysis.


Checklist Report

TDWI Checklist Report | Six Keys to Maximizing Big Data Benefits and Project Success

September 29, 2018

This TDWI checklist discusses six important issues that organizations should address to start big data projects off right and then manage them to achieve objectives faster and with less difficulty.


Checklist Report

TDWI Checklist Report | AI for BI: Six Strategies for Augmenting Business Intelligence with AI and Machine Learning

September 28, 2018

This TDWI checklist discusses six best practices for gaining greater value from AI for BI and self-service analytics. Our objective is to help organizations accomplish projects faster and provide relevant and accurate insights that users can trust.


SAP Checklist cover

TDWI Checklist Report | The Modern Data Hub

September 17, 2018

This TDWI Checklist Report presents seven recommendations for successful data hub design and use. It should help you understand the new direction that the data hub has taken as well as what you should demand when evaluating products and deploying a modern data hub.


denodo checklist cover image

TDWI Checklist Report | Achieving High-Value Analytics with Data Virtualization

July 25, 2018

This Checklist Report discusses six areas that are critical to achieving high-value, business-driven analytics and the role data virtualization plays in realizing success in these areas.


Talend checklist cover

TDWI Checklist Report | The Cloud Data Integration Primer

June 29, 2018

A number of newly mature trends are making cloud-based data integration platforms, technologies, and user best practices more relevant than ever.


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