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RESEARCH & RESOURCES

TDWI White Paper Library

TDWI maintains this library of white papers as a resource for in-depth research and commentary about the big data, business intelligence, data warehousing, and analytics industry. The content in this repository is crafted by TDWI's software and consulting partners. To find out how your company can promote its content in this library, click here.


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Modern Data Protection: Putting an End to Downtime with Hitachi Vantara

January 1, 2019

IT must efficiently meet modern data protection service levels as organizations undergo transformation and modernization efforts.


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White Paper: Blueprints for Big Data Success

January 1, 2019

Read about big data use cases generating business results for companies today and emerging use cases expected in the near future.


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AI Momentum, Maturity & Models for Success

January 1, 2019

For quite some time, AI has had an allure for improving processes, raising productivity and making both top- and bottom-line impacts on organizations. Advances in data and analytics have enabled early adopters of AI globally across industries to grow beyond experiments and quick hits and provide examples for paths to success with AI.


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Build a Data Governance Strategy for the New Digital Era

January 1, 2019

With the right technology in place, data governance can drive enormous business value and support digital transformation.


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How to Maximize the Impact of Your Analytics

January 1, 2019

Implementing an analytics platform has shown great promise in growing the strategic value of analytics and in fostering innovation.


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Amplify Business Analytics with Your Operational Data, CDC, and a Real-Time Data Lake

January 1, 2019

With a few clever steps in technology architecture, organizations can deliver timely, essential data to business analysts, BI teams, and data scientists.


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Building Your Data and Analytics Strategy

January 1, 2019

This e-book is full of resources to help you launch successful data analytics projects, improve data prep, and go beyond conventional data governance.


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