RESEARCH & RESOURCES

Featured White Papers

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.


IB wp 5 Ways to Boost Adoption

5 Ways to Boost Adoption of BI and Analytics

March 7, 2019

Download this white paper for five effective ways to promote widespread adoption of business intelligence and analytics across your enterprise.


InformationBuilders ebook cover image

Success in the Mid-Market

March 7, 2019

Information Builders partners with mid-market firms to create a unified information architecture that supports core activities across the business.


InformationBuilders white paper cover image

How Community Banks Achieve Profitable Growth With Data and Analytics

March 7, 2019

This white paper highlights the benefits community banks can achieve and the challenges they face when selecting and deploying analytics solutions to support their business strategies.


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Achieving a Force Multiplier and Improving Organizational Effectiveness in Law Enforcement

March 7, 2019

Can law enforcement agencies at local, state, and federal levels utilize advanced technologies to boost organizational effectiveness and promote higher levels of public safety?


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Improving Value-Based Care Through Strategic Use of Data

March 7, 2019

Healthcare professionals face many challenges when collecting, managing, and exchanging data in support of value-based care.


InformationBuilders white paper cover image

Trends in Modern Data Integration

March 7, 2019

In this white paper, we’ll investigate some of the modern integration techniques that are emerging in response to new demands.


InformationBuilders white paper

KLAS’ Key Layers of Population Health IT

March 7, 2019

This white paper, examines the six layers of population health IT as outlined by KLAS, and discusses how enterprise success requires both a solid data management foundation and a robust analytics platform.


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