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


2016 Salary Roles and Responsiblities report cover image

2016 TDWI Salary, Roles, and Responsibilities Report

March 14, 2016

  The gender gap in wages saw a dramatic narrowing in 2015, as women’s average salary rose by 1 percent and men’s dropped by 4 percent. Read more in the 2016 TDWI Salary, Roles, and Responsibilities Report.


Best Practices Report | Operationalizing and Embedding Analytics for Action

December 21, 2015

Download this report for recommendations and best practices for successfully operationalizing analytics in your organization to derive business value.


Seven Best Practices for Adopting Data Warehouse Automation

TDWI Checklist Report | Seven Best Practices for Adopting Data Warehouse Automation

December 18, 2015

This Checklist discusses seven best practices for implementing data warehouse automation within an agile development framework.


TDWI Checklist Report | Seven Steps to Faster Analytics Processing with Open Source: Realizing Business Value from the Hadoop Ecosystem

December 9, 2015

This Checklist discusses seven key considerations to help organizations focus their evaluation and develop a strategy for gaining value from open source technologies to support faster, more powerful, and more flexible analytics.


TDWI Checklist Report | Modernizing Data Integration to Accommodate New Big Data and New Business Requirements

December 2, 2015

This TDWI Checklist Report drills into seven recommendations and discusses many of the new vendor product types, their functionality, and user best practices that can contribute to data integration modernization. It also presents the business case and technology strengths of each recommendation.


TDWI Checklist Report | Becoming Big Data Ready: Evolving Best Practices in Data Management

November 4, 2015

To help the reader understand the ongoing evolution of data management—in response to new requirements around big data and analytics—this report provides a checklist of data management practice areas that are most affected. In addition, the report relates new practices to existing ones, indicating when to use which one.


TDWI Checklist Report | Data Lake Principles and Economics: Evaluating Data Economics, Business Value, and Real-Time Delivery Options

November 2, 2015

This Checklist Report discusses what your enterprise should consider before diving into a data lake project, no matter if it’s your first or second or even third major data lake project. Presumably, adherence to these principles will become second nature to the data lake team and they will even improve upon them at some point.


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