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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.


Information Builders e-book

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

October 30, 2019

Master data management is about more than just data and processes.


Using Data and Analytics to Enhance Operational Analytics at Scale

October 30, 2019

In this e-book, we explore how Information Builders uniquely scales value throughout organizations with our end-to-end data and analytics platform, WebFOCUS.


The Beginners Guide to IoT: Deriving Value From New Big Data Sources

October 30, 2019

It is estimated that 30 percent of homeowners currently own or plan to soon own Internet-connected devices, while 69 percent plan to own them within five years. What is the Internet of Things (IoT)? How can it be used?


Operationalizing Data and Analytics For Law Enforcement

October 30, 2019

Federal, state, county, and local law enforcement agencies have vast amounts of data that needs to be turned into actionable intelligence for proactive deployments and crime clearance. Are you using actionable data to fight crime and ensure public safety?


Information Builders e-book

P&C Insurance: How to Win and Grow Through Customer-Centricity

October 30, 2019

In this e-book, we explore the path to profitable growth through better understanding customers as well as product and risk changes.


Information Builders e-book

Five Things to Focus on for Faster MDM Results

October 30, 2019

To speed up your MDM, you need to get the "soft stuff" right: what works in the real world is a business-oriented, balanced, holistic approach.


Delivering Artificial Intelligence at Scale

October 30, 2019

In this white paper, we’ll demonstrate how that superior scalability can support wide-scale artificial intelligence (AI) and machine learning (ML) initiatives and deliver a comprehensive suite of data science capabilities that reaches users at all levels.


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