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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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Building a Trusted Data Foundation for AI/ML and Business Intelligence (BI)

September 13, 2024

With high-quality, timely data for your business intelligence and AI/ML initiatives, you can improve business efficiency, mitigate risks, enhance the customer experience, and improve insights for better business outcomes.


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Modernizing MDM: Unify and Mobilize Trusted Data in Real Time

September 13, 2024

This white paper provides a comprehensive look at how you can leave the challenges of legacy MDM behind and realize the cost savings and productivity gains a modern MDM system can deliver.


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Ventana White Paper: Enhancing Business Agility with Trusted Data Products

September 13, 2024

Are you ready to remove data silos quickly and create unique customer profiles for accurate segmentation?


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IDC Spotlight: Boosting AI Impact with Data Products

September 13, 2024

Download this resource to learn more about the shift from digital transformation to AI-driven digital business.


Unifying WhereScape with Databricks

Unifying WhereScape with Databricks

August 29, 2024

This paper outlines how Databricks’ unified data platform and WhereScape’s automation can streamline workflows, enhance operational efficiency, and pave the way for advanced analytics and AI-driven insights.


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The Technical Guide to Composable CDPs

July 8, 2024

From the obsolescence of bundled CDPs to the advantages of composable solutions, dive into the key trends driving innovation in customer data platforms (CDPs).


TDWI Best Practices Report | Reducing Time to Insight and Maximizing the Benefits of Real-Time Data

May 15, 2024

This TDWI Best Practices Report emphasizes reducing insight times by addressing data quality and integration as well as by leveraging modern technologies for real-time data utilization.


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