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.


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The Risks of Using Spreadsheets for Statistical Analysis

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


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R and SPSS Software: Everyone Wins

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

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


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The How's and Why's of Survey Research

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.


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

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

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

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.


IBM Data Science White Paper Cover Image

From Business Insight to Business Action

Organizations often lack two critical capabilities when it comes to making the right decisions for the business: the ability to make accurate predictions about the future, and to then use those predicted insights in conjunction with organizational goals to identify the best possible actions they should take.


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