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The Economic Value of Data
sponsored by ComputerWeekly.com
 | Essential Guide: | Posted: 17 Jun 2013
| | Published: | 17 Jun 2013 | |
Summary: | Big data analytics promises to boost customer centricity and profitability for financial services firms, according to this report from Cognizant. | 
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HP Information Optimization Transformation Experience Workshop
sponsored by Hewlett-Packard Company
| White Paper: | Posted: 11 Jun 2013
| | Published: | 30 Nov 2012 | |
Summary: | Many organizations struggle with core business intelligence competencies such as data quality, data integration, and accessibility.This resource introduces a way to transform your information management and analytics strategy - the HP Information Optimization Transformation Experience Workshop. Read to discover how this one-day event can help you! |
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Deliver the Information Business Users Need
sponsored by Hewlett-Packard Company
| White Paper: | Posted: 11 Jun 2013
| | Published: | 31 May 2012 | |
Summary: | This resource explains how building an enterprise data warehouse (EDW) allows organizations to deliver data in a more efficient manner, and explores how a business intelligence competency center (BICC) can align the organization to analyze data more quickly. |
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Big Data Analytics
sponsored by Kognitio
| White Paper: | Posted: 07 Jun 2013
| | Published: | 31 Dec 2011 | |
Summary: | Big data analytics can help you understand the current state of your business, track customer behavior, and take advantage of new opportunities. This comprehensive TDWI best practices report gives you in-depth insights into all the important aspects of big data analytics, so that you have a solid foundation for implementing an analytics plan. |
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CIO Decisions E-Zine: Turning ‘Dirty Data’ into Business Insights for your Customers
sponsored by SearchCIO.com
| Ezine: | Posted: 05 Jun 2013
| | Published: | 05 Jun 2013 | |
Summary: | In this issue of CIO Decisions e-zine, we examine how CIOs can lead the way in turning dirty data into business insights for their customers. |
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Big Data in the Insurance Industry
sponsored by IBM
| White Paper: | Posted: 04 Jun 2013
| | Published: | 31 Mar 2012 | |
Summary: | Insurers can take three steps to harness an explosion of big data for claims, customer retention and fraud detection. |
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CW500: Back to the Future: Big Data at Channel 4
sponsored by ComputerWeekly.com
| Presentation: | Posted: 03 Jun 2013
| | Published: | 03 Jun 2013 | |
Summary: | Bob Harris, Chief Technology Officer of Channel 4 Television, explains the broadcaster's approach to big data in this presentation for Computer Weekly's 500 Club. |
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Best Practices for Scaling a Big Data Analytics Project
sponsored by Information Builders
| eGuide: | Posted: 28 May 2013
| | Published: | 28 May 2013 | |
Summary: | Big data analytics can be overwhelming for those just beginning, but it's fortunate that many traditional data management best practices are also applicable to big data. In this expert e-guide, discover which best practices easily translate to your big data project, and get advice on how to start, scale, and succeed with your analytics initiative. |
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World Quality Report 2012-13
sponsored by Hewlett-Packard Company
| White Paper: | Posted: 21 May 2013
| | Published: | 21 May 2013 | |
Summary: | This resource delves deep into the findings of the 4th annual World Quality Report. Read now to learn more about the current state of application quality and testing practices across different industries and geographies, as well as the latest trends in application quality, methodologies, tools and processes. |
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Big Data,Big Problems: How to Get the Most from Your Big Data Platform - Vendor Webcast
sponsored by Alcatel-Lucent Enterprise
 | Webcast: | Posted: 20 May 2013
| | Premiered: | May 20, 2013 | |
Summary: | How can you ensure you get the most out of your big data platform and supporting technology? Watch this webcast to hear BI guru Wayne Eckerson explain some of the key obstacles of implementing and maintaining big data platforms such as Hadoop and learn how to easily overcome these challenges. |
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“A Buyers Guide for Strategic Analytics” - Five Critical Criteria for Analytics Success
sponsored by Alteryx, Inc.
| White Paper: | Posted: 15 May 2013
| | Published: | 31 Dec 2012 | |
Summary: | In order for your business to thrive, you need an analytics platform designed to handle today's fast-paced, complicated business environment of consumerization, cloud computing, and varied data sources with ease. This white paper explores five key criteria for selecting a modern analytics platform for your organization. |
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Big Data Analytics for Dummies
sponsored by Alteryx, Inc.
| eBook: | Posted: 10 May 2013
| | Published: | 10 May 2013 | |
Summary: | This e-book is a comprehensive guide to big data analytics, focusing on how data analysts can leverage a variety of analytic tools to gain deeper insights from data and to create innovative analytics applications for business decision-makers. |
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Real-time Analytics Best Practices
sponsored by Infobright, Inc.
| eGuide: | Posted: 09 May 2013
| | Published: | 09 May 2013 | |
Summary: | This expert e-guide provides a set of best practices and tips for leveraging real-time analytics to boost decision-making and get ahead of your competitors. |
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The Human Side of Big Data and High Performance Analytics
sponsored by SAS Institute Inc.
| White Paper: | Posted: 08 May 2013
| | Published: | 31 Aug 2012 | |
Summary: | Increase in volume, velocity, and variety of data businesses has called for a change in new technologies and capabilities. In the wake of these changes, the role of the "data scientist" has taken the spotlight. Check out this white paper to learn about data scientists and how these professionals can help your big data analytics programs succeed. |
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The State of the Big Data Market
sponsored by Infobright, Inc.
| eGuide: | Posted: 08 May 2013
| | Published: | 08 May 2013 | |
Summary: | This expert e-guide provides and in-depth look into big data analytics - read on to learn what a big data approach to analytics entails, key technology vendors' takes on the changing data landscape, and a prospectus for the future of big data in business. |
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