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Research Reports


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Best Practices Report | Advanced Analytics: Moving Toward AI, Machine Learning, and Natural Language Processing

September 28, 2017

This TDWI Best Practices Report explores the new opportunities for AI, machine learning, and natural language processing presented by innovations in computing power and algorithmic efficiency.


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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.


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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.


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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.


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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.


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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.


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