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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.


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5 Ways to Maximize Your Salesforce Data

June 7, 2019

Salesforce is one of the most widely used customer relationship management tools in business today, and the data collected with it is vital to decision making throughout every sales organization. Utilize these 5 tips for boosting your pipeline with Salesforce data.


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Advanced Analytics with Tableau

June 7, 2019

In this paper we will explore how Tableau can help with all stages of an analytics project.


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The Marketing Analytics Evolution

June 7, 2019

With new marketing channels and technologies popping up every day, marketers must adapt and evolve their analytics strategies, skills, and solutions to survive.


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Making Flow Happen: How to Build Dashboards That Persuade, Inform and Engage

June 7, 2019

In data visualization, flow is crucial. Your audience should smoothly absorb and use the information in a dashboard without distractions or turbulence. Lack of flow means lack of communication, which means failure.


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Excel and Tableau: A Beautiful Partnership

June 7, 2019

While Excel comes equipped with many features that help you get started with data, Tableau takes your analysis to the next level with flexible and responsive analytics.


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Marketing Accountability: A CEO Blueprint

June 7, 2019

Despite years of vetting and advances in media measurement, analytics, models and attribution, Forbes research—with over 800 CMOs and 50 subject matter experts—revealed that most CMOs still struggle to quantify and communicate the value marketing creates to their leadership, peers and partners.


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Four Ways Finance Creates Value with Visual Analytics

June 7, 2019

Every day millions of finance professionals extract data from different platforms and reporting systems into spreadsheets to ask and answer thousands of questions. The primary hardship with this ingrained manual routine is, of course, time.


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