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.


IBM WP cover

The Risks of Using Spreadsheets for Statistical Analysis

December 6, 2017

This paper presents some points you should consider if you use, or plan to use, a spreadsheet to perform statistical analysis.


IBM WP cover

R and SPSS Software: Everyone Wins

December 6, 2017

The purpose of this paper is to demonstrate the benefits of using the R programming language with IBM SPSS Statistics and Modeler software rather than simply trying to go it alone with R.


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The Power of IBM SPSS Statistics and R Together

December 6, 2017

Using IBM SPSS Statistics and R together makes the most of both worlds.


IBM WP cover

The How's and Why's of Survey Research

December 6, 2017

Organizations today rely on survey research to gather much-needed business intelligence. This white paper discusses survey research as a seven-step process, detailing how to maximize your efforts every step of the way.


IBM WP cover

Predictive Analytics in Customer Surveys: Bridge the Gap Between Data and Action

December 6, 2017

Customer surveys are an invaluable business tool for gauging customer sentiment and behavior. Using predictive analytics to analyze and act on survey data helps businesses design and execute activities that ultimately maximize performance results.


IBM Data Science White Paper Cover Image

Foundational Methodology for Data Science

December 1, 2017

In the domain of data science, solving problems and answering questions through data analysis is standard practice. Often, data scientists construct a model to predict outcomes or discover underlying patterns, with the goal of gaining insights.


IBM Data Science White Paper Cover Image

Data Science is a Team Sport: Do You Have the Skills to Be A Team Player

December 1, 2017

The more data you have, the better the quality of your reports and strategic recommendations, right? Sure…if you can analyze that data intelligently and quickly, and make it actionable with valuable insights.


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