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


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TDWI Checklist Report | Data Architecture for IoT Communications and Analytics

March 30, 2018

The foundation of a successful IoT implementation is a technical architecture that blends network connectivity with an information architecture for streaming, ingesting, filtering, and capturing data. This checklist explores some fundamental aspects of the data architecture necessary for IoT success.


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TDWI Checklist Report | Seven Best Practices for Machine Learning on a Data Lake

March 30, 2018

As organizations collect and analyze increasing amounts of data, they are turning to the data lake as the platform to perform more advanced analytics such as machine learning. This TDWI Checklist Report presents best practices for advanced analytics on a data lake.


Data watch Pulse Report cover image

TDWI Pulse Report | Reducing Inefficiency and Increasing the Value of Analytics and Business Intelligence

March 29, 2018

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.


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2018 TDWI Salary, Roles, and Responsibilities Report

March 14, 2018

  This past year saw BI salaries continue their steady rise. Read more in the 2018 TDWI Salary, Roles, and Responsibilities Report.


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

March 6, 2018

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.


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TDWI Checklist Report | Data Management for Data Lakes in the Cloud

February 21, 2018

A lake or cloud can breathe new life into established enterprise data architectures (data warehouses, marketing channel data, digital supply chains) or create new and different ones (analytics labs and sandboxes, ecosystems of cloud-based operational applications). This report discusses the leading data management (DM) best practices you need for data lakes to be successful when deployed in the cloud.


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TDWI Checklist Report | Data Monetization: 7 Steps to Building Consumable Data Solutions

February 1, 2018

Data products are not a new idea; data aggregators have been producing purchasable data sets for decades. However, as organizations have become motivated to be “data driven,” the concept of a “data product” has rapidly morphed into different shapes, including packaged data sets, lightweight API-based services, directly connected end-user visualizations, and full-blown access to hosted reporting and analytics dashboards.


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