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.


Six Reasons to Upgrade Your Database

April 5, 2016

Is your data architecture up to the challenge of the big data era? Can it manage workload demands, handle hybrid cloud environments, and keep up with performance requirements? This white paper provides six reasons why changing your database can help you take advantage of data and analytics innovations.  


Big Data: Why Transaction Data Is Mission Critical to Success

April 1, 2016

In this white paper, learn more about how big data provides richer transactional data and how that data is captured and analyzed to meet tomorrow’s business needs.


The 8 Worst Practices in Master Data Management and How to Avoid Them

March 25, 2016

Download this white paper for the eight practices to avoid when planning and designing a master data management and data governance program.


Mobile Business Intelligence 101: Proven Strategies and Use Cases

March 25, 2016

Download this white paper to learn about mobile business intelligence and the WebFOCUS BI platform.


The Real Cost of Bad Data: Six Simple Steps to Address Data Quality Issues

March 25, 2016

Download this white paper for six highly effective steps for fixing your bad data.


Reinventing Self-Service for Wide-Scale Adoption of Analytics

March 25, 2016

Download this white paper for answers to important questions about self-service analytics, along with real-world use cases for sharing enterprise information.


Eight Ways to Generate New Revenue with Business Intelligence and Analytics

March 25, 2016

Download this white paper to learn how to support new growth strategies and drive new revenue using eight important BI and analytics technologies.


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