Data Content Quality White Papers

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Business Analytics – Pushing Towards Relevance
sponsored by IBM
WHITE PAPER: This paper details the current state of business analytics, revealing why it's not as pervasive as one may think. Read this now and learn some best practices that will help CIOs spearhead their company's BI initiatives to make better use of data for a competitive advantage.
Posted: 04 May 2012 | Published: 04 May 2012

IBM

Optimizing Storage and Protecting Data with Oracle Database 11g
sponsored by Oracle Corporation
WHITE PAPER: This paper focuses on key Oracle Database 11g capabilities that help IT departments better optimize their storage infrastructure.
Posted: 14 Oct 2011 | Published: 12 Oct 2011

Oracle Corporation

Denodo Platform 5.0
sponsored by Denodo Technologies
WHITE PAPER: Today's information landscape includes a variety of data sources and unlike forms of data inundating your business every second. Turn to this resource to learn about how data virtualization can make disparate data sources appear as if they are in one place, so that you can easily access your information and make better, faster business decisions.
Posted: 12 Apr 2013 | Published: 31 Mar 2013

Denodo Technologies

Wrangling big data: Fundamentals of data lifecycle management
sponsored by IBM
WHITE PAPER: Successfully managing big data requires more than just analytics -- you need to reduce the cost of managing data while also lowering the risk involved in organizing and protecting it. This resource offers an in-depth exploration of three key objectives to help you efficiently manage data throughout the lifecycle.
Posted: 13 Dec 2013 | Published: 31 Mar 2013

IBM

HP Big Data Discovery Experience
sponsored by Hewlett-Packard Enterprise
WHITE PAPER: In this valuable guide you'll learn how to move your business forward through the use of a sound information management strategy. And to build upon this, discover how you can advance your information strategy and accelerate the discovery of key business insights through the use of various big data technologies.
Posted: 06 Aug 2013 | Published: 28 Feb 2013

Hewlett-Packard Enterprise

Data Warehousing 2.0- Modeling and Metadata Strategies for Next Generation Architectures
sponsored by Embarcadero Technologies, Inc.
WHITE PAPER: Read this white paper and learn how the data warehouse, metadata and modeling environment will be transformed in the next few years — and what you need to do to leverage it for your business, the major components of DW 2.0 architectures, and key modeling and metadata management strategies for DW 2.0.
Posted: 26 Jan 2012 | Published: 19 Jan 2012

Embarcadero Technologies, Inc.

Driving successful business transformation: Persistent organizational excellence with IBM Ready-to-Launch for SAP applications
sponsored by IBM
WHITE PAPER: In this white paper, you'll uncover how to drive a successful business transformation. Learn how to improve your data quality while reducing the risk of delays in business-critical SAP projects.
Posted: 27 Jul 2011 | Published: 27 Jul 2011

IBM

Outperforming in a data-rich, hyper-connected world
sponsored by IBM
WHITE PAPER: This paper outlines the results of a survey conducted amongst more than 1,100 executives across nine industries in 64 countries on their ability to capture data, share insights and take actions based on what they learn. Read this now to discover how other companies are harnessing and handling their data and learn how you can follow a similar path.
Posted: 09 Aug 2012 | Published: 08 Aug 2012

IBM

Oracle Exadata Storage Server X2-2
sponsored by Oracle Corporation
WHITE PAPER: Read this white paper and learn about the intelligent software in the Oracle Exadata Storage Server that accelerates database query processing (DQP) by offloading database query processing to the storage layer.
Posted: 12 Dec 2011 | Published: 12 Dec 2011

Oracle Corporation

Understanding Big Data So You Can Act with Confidence
sponsored by IBM
WHITE PAPER: Ensuring your data is secure and trustworthy is paramount to harnessing the power of big data, but it's also a difficult task when you've got such a large volume and variety of information coming into the business. Unfortunately, traditional methods of governing and correcting often aren't applicable to big data -- so what can you do?
Posted: 24 Dec 2013 | Published: 31 Jul 2013

IBM