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.


SAS Managing the Analytical WP cover

Managing the Analytical Life Cycle for Decisions at Scale: How to Go from Data to Decisions as Quickly as Possible

Download this white paper to learn how to quickly turn data into insights and actions by efficiently integrating accurate predictive models into the production systems that drive your automated decisions.


Liaison white paper cover

Global Manufacturer Relies on Liaison to Achieve 100% Supplier Integration

Download this white paper to learn how a leading heavy equipment manufacturer automates the long tail of suppliers using Liaison’s cloud integration platform.


SAS Redefine Your Analytics Journey WP cover

Redefine Your Analytics Journey with Interactive Data Exploration and Predictive Analytics

Download this white paper for five steps to getting more value from your data and analytical investments.


SAS Midsized Biz WP cover

How Midsized Businesses Can Take Advantage of Big Data

Download this white paper for seven practical tips for getting started with data visualization.


Liaison white paper cover

Are Your Integration Operations Stuck in the Middle?

The data landscape is changing dramatically. Download this white paper to learn how to extend your legacy middleware to support your organization’s digital transformation.


SAS Machine Learning WP cover

Machine Learning with SAS Enterprise Miner

Download this white paper to learn how a team of SAS modelers created and determined a champion model to predict customer churn.


Liaison white paper

The Great Middleware Transition: Managed Services Address Key Needs

Download this white paper for key considerations for evaluating what should come next for your organization’s cloud integration and data management operations.


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