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


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.


Evolving Toward Modern DW checklist cover

TDWI Checklist Report | Evolving Toward the Modern Data Warehouse: What Enterprises Require Today, What They'll Need Tomorrow

November 10, 2016

User organizations facing new and future requirements for big data, analytics, and real-time operation need to start planning today for the data warehouse of the future. This Checklist Report drills into seven key recommendations for solution design, listing and discussing many of the new vendor and open source product types, functionality, and user best practices that will be common in the near future, along with the business case and technology strengths of each.


Checklist cover Emerging Design Patterns

TDWI Checklist Report | Emerging Design Patterns for Data Management

November 8, 2016

This Checklist Report drills into some of the emerging design patterns and platforms for data that modern data-driven organizations are embracing. The goal of the report is to accelerate users’ understanding of new design patterns and data platforms so they can choose and use the ones that best support the new data-driven goals of their organizations.


Checklist thumb Data Centic Security

TDWI Checklist Report | Data-Centric Security: Seven Best Practices for Protecting Your Most Sensitive Data

November 7, 2016

This checklist defines data security and data-centric security and discusses best practices and enabling technologies to help make data more secure.


Syncsort Checklist cover image

TDWI Checklist Report | Building a Data Lake with Legacy Data

November 3, 2016

This checklist will help you and your team plan and launch successful data lake projects with your legacy data sources. It reviews the critical success factors for these projects as well as the risks and issues to mitigate.


Informatica Data Lake Management Checklist Cover

TDWI Checklist Report | Best Practices for Data Lake Management

October 12, 2016

A data lake ingests data in its raw, original state, straight from data sources, with little or no cleansing, standardization, remodeling, or transformation. These and other data management best practices can then be applied flexibly as diverse use cases demand. Most data lakes are built atop Hadoop, which enables a data lake to capture, process, and repurpose a wide range of data types and structures with linear scalability and high availability.


Q4 BPR thumb

Best Practices Report | BI, Analytics, and the Cloud: Strategies for Business Agility

October 3, 2016

The cloud is becoming a mature platform for data management, integration, business intelligence (BI), and analytics. Download this report for an examination of organizations’ experiences with and plans for cloud BI and analytics, new cloud models, and what organizations should consider when moving to the cloud.


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