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.


RedPoint WP cover Connected Data

Optimizing Customer Engagement Through Connected Data

January 1, 2017

Download this white paper to understand the shortcomings of traditional approaches to data preparation, such as data warehouses and data lakes, and explore the power of connected data.


IBM WP Hadoop Deployment cover

IBM Drives Deployment Choices with Latest Hadoop Distribution Release (451 Research)

January 1, 2017

This report from 451 Research explains how the rebranding of BigInsights in 2015 is helping IBM earn the respect of the Hadoop community.


Top Five Data Discovery Applications for Optimizing Sales Operations

January 1, 2017

Download this white paper to learn how your sales teams can benefit from five critical sales operations apps run on the MicroStrategy platform.


BOARD Budgeting and Planning WP cover

Budgeting and Planning Made Easy: How Technology Changes the Game

January 1, 2017

Download this white paper to learn how BOARD provides everything an enterprise needs to manage corporate planning processes.


Cloudera Forrester IoT Heat Map cover

Forrester: The IoT Heat Map, 2016

January 1, 2017

Download this white paper to learn how your company can take full advantage of the Internet of Things (IoT) with key IoT-enabled applications.


Cloudera Big Data Maturit Survey cover

Big Data Maturity Survey, 2016

January 1, 2017

Download this white paper for a global survey focusing on companies that have deployed big data, their best practices, and their intentions.


SAS Breaking Down WP cover

Breaking Down the Barriers Between Model Development and Deployment

January 1, 2017

Download this white paper to learn how the “analytics factory” breaks down the barriers between IT and business and automates the mundane, iterative tasks of model building.


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