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Data Content QualityWhite Papers (View All Report Types)
 
Holistic Data Governance - A Framework for Competitive Advantage
sponsored by Informatica
WHITE PAPER: Find out what it takes to build a stellar data governance initiative.
Posted: 20 Aug 2014 | Published: 31 Dec 2012

Informatica

Who's afraid of the big (data) bad wolf? Survive the big data storm by getting ahead of integration and governance functional requirements
sponsored by IBM
WHITE PAPER: This resource explores why traditional methods of discovering, governing, and correcting information fall short for big data, and provides an outline to help you achieve big data integration and governance success.
Posted: 27 Feb 2014 | Published: 31 Oct 2013

IBM

New Opportunities for Business Intelligence: Five Ways to Enhance Governance and Compliance for Greater Control Now
sponsored by Information Builders
WHITE PAPER: This white paper describes five innovative technology-driven solutions that can help companies to overcome the challenges in implementing and enforcing formal GRC policies and procedures.
Posted: 02 May 2013 | Published: 31 Dec 2012

Information Builders

Managing Master Data & Data Quality
sponsored by Informatica
WHITE PAPER: Now is the time to brush up on the ins-and-outs of master data management (MDM), data quality (DQM), and product information management (PIM).
Posted: 21 Aug 2014 | Published: 30 Nov 2013

Informatica

Data Quality Management: The Key to Successful Predictive Analytics
sponsored by Information Builders
WHITE PAPER: As more and more companies begin to leverage predictive analytics to improve their business intelligence strategies, it's becoming evident that effective predictive models begin with data quality management. Read on to learn more about the impact data quality has on predictive analytics and how to easily improve your data quality.
Posted: 02 Aug 2012 | Published: 01 Aug 2012

Information Builders

Big Data without the Big Bang or Bucks
sponsored by IBM
WHITE PAPER: In this resource, get tips on how to begin a big data project, from determining project requirements to choosing an analytics platform to upgrading systems. You'll discover best practices for extracting the most value from your data without high costs or complexities, and evaluate the pros and cons of selecting a "big data in a box" technology.
Posted: 15 Jul 2013 | Published: 31 Dec 2012

IBM

The fundamentals of data lifecycle management in the era of big data
sponsored by IBM
WHITE PAPER: The volume, variety, and velocity of big data make it difficult to ensure the information is trusted and protected -- traditional, manual methods of governance just aren't up to the task. In this resource, explore the challenges of managing big data and get best practices for data lifecycle management at the enterprise level.
Posted: 26 Dec 2013 | Published: 31 Aug 2013

IBM

Oracle Solaris and Oracle SPARC T4 Servers— Engineered Together for Enterprise Cloud Deployments
sponsored by Oracle Corporation
WHITE PAPER: Read this paper to learn how Oracle Solaris and the SPARC T4 processor can help you manage your costs for existing infrastructures or for new enterprise cloud infrastructure design. Discover how Solaris works cohesively with SPARC T4 systems and other Oracle software to enable a handful of cloud-ready solutions.
Posted: 05 Jul 2012 | Published: 25 Jun 2012

Oracle Corporation

IBM Business Analytics for Linux on System z
sponsored by IBM
WHITE PAPER: This paper presents the case for business analytics, outlining the trends that are redefining analytics and the weaknesses of decentralized analytics solutions. Gain additional insight into IBM Business Analytics solutions on System z, an end-to-end solution that includes BI, predictive analytics and data warehousing on a single platform.
Posted: 22 May 2012 | Published: 18 Aug 2010

IBM

Apache Hadoop Patterns of Use
sponsored by Hortonworks
WHITE PAPER: When it comes to Hadoop, the technology most often associated with big data, why is it so popular? Does it actually live up to the vendor hype? Check out this informative resource to get the real guidance you need to figure out where Hadoop fits into your organization, and how you can leverage it to extract the most from your big data.
Posted: 17 Jul 2013 | Published: 30 Apr 2013

Hortonworks
 
 
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