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How to Avoid the Five Most Common Data Visualization Mistakes
sponsored by TIBCO Software Inc.
WHITE PAPER: Human errors, misunderstandings, and impossible deadlines can prevent you from using data visualization effectively. Learn how to avoid 5 of the most common data visualization mistakes to identify potential problems and capitalize on trends that might otherwise be missed.
Posted: 14 Apr 2016 | Published: 05 Feb 2016

TIBCO Software Inc.

Data Visualization Platforms: Spotfire vs. Qlik Sense
sponsored by TIBCO Software Inc.
WHITE PAPER: When shopping for a data visualization platform, how can you be sure that your choice provides all of the functionalities you'll need in the future? This resource compares two prominent data visualization platforms and discusses the strengths of each choice. Learn which option better suits your enterprise's business intelligence needs.
Posted: 12 Apr 2016 | Published: 31 Dec 2016

TIBCO Software Inc.

CGT Research Paper: Transforming Consumer Products with Advanced Analytics
sponsored by IBM
WHITE PAPER: For the consumer product industry, it's critical to unlock a deeper understanding of customers' behaviors and interests to optimize products and distribution channels. This resource reveals key insights from a survey conducted among consumer product companies about the benefits and challenges they've experienced with advanced analytics.
Posted: 20 Apr 2016 | Published: 20 Apr 2016

IBM

Enable Better Decisions for Everyone in Your Organization
sponsored by Pyramid Analytics
WHITE PAPER: Many organizations struggle with inefficient, overly complex business intelligence processes that leave them with fragmented data and incomplete information. Discover a business intelligence platform that empowers users outside of IT to dive into data, with the security of a governed analytics environment.
Posted: 18 May 2016 | Published: 18 May 2016

Pyramid Analytics

The Rise of Machine Data: Are You Prepared?
sponsored by IBM
WHITE PAPER: Machine data automatically generated by the Internet of Things comes in a variety of complex formats, and there are few standards in place to help you analyze it quickly enough to get actionable insights. This resource reveals how to leverage real-time analytics to make the most out of massive volumes of machine data.
Posted: 04 May 2016 | Published: 31 Mar 2014

IBM

For Shazam, Real-Time Insight Drives Improved User Engagement and Revenue
sponsored by Splunk
WHITE PAPER: Discover details on how Shazam analyzed all of its mobile app data without having to do other cost- and time-intensive steps typically associated with business intelligence, and ultimately gained a better understanding of users.
Posted: 02 May 2016 | Published: 02 May 2016

Splunk

Empower Operational Managers with Self-Service BI for SAP
sponsored by Every Angle
WHITE PAPER: Self-service BI tools allow users to develop and update reports themselves, without support from IT. But most of these tools aren't designed with operational managers or executives in mind. Discover a mature self-service BI tool that can support operational management and executives on SAP transaction databases.
Posted: 09 May 2016 | Published: 31 Dec 2014

Every Angle

Quickly Convert Sales Data into Insight, Identify Patterns, and Resolve Problems
sponsored by Oracle Corporation
WHITE PAPER: How can you quickly figure out what causes dips in sales performance? Discover a cost-effective strategy that can help you efficiently extract insight with data visualization. Learn how you can quickly load your own data, leverage gold-standard corporate data, use predictive modeling, and more.
Posted: 09 May 2016 | Published: 09 Sep 2015

Oracle Corporation

Turn Your Employees' Voice Into Action
sponsored by IBM
WHITE PAPER: Explore the importance of using big data and analytics to listen to employees' voice, and then analyze and act on these insights. Learn how this strategy can improve business performance.
Posted: 24 May 2016 | Published: 24 May 2016

IBM

Case Study: Analytics for Big Customer Data
sponsored by IBM
WHITE PAPER: This case study describes the analytics strategy that allowed an insurance company to rapidly analyze large amounts of raw information to gain a better understanding of customer behavior and needs. Discover how they experienced benefits like increased client revenue, stronger customer loyalty, and a reduction in sales and canvassing costs.
Posted: 14 Mar 2016 | Published: 25 Jan 2015

IBM
 
 
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