Data Quality Assurance White Papers

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Accelerating the Speed of Intelligence for Fast and Flexible Forecasting
sponsored by SAP America, Inc.
WHITE PAPER: Based on interviews with CFOs and senior finance executives at six leading international companies, this report presents the strategies they are using to infuse flexibility into their planning, budgeting, and forecasting processes in order to detect and address the constantly changing market realities of today's stubbornly volatile global economy.
Posted: 02 Feb 2012 | Published: 30 Sep 2011

SAP America, Inc.

Faster, Higher, Stronger: In-Memory Computing Disruption and What SAP HANA Means for Your Organization
sponsored by SAP America, Inc.
WHITE PAPER: Over the course of several months in 2011, IDC conducted a research study to identify the opportunities and challenges to adoption of a new technology that changes the way in which traditional business solutions are implemented and used. The results of the study are presented in this white paper.
Posted: 28 Nov 2011 | Published: 28 Nov 2011

SAP America, Inc.

Grow Forward With Faster, Simpler, and Flexible ERP
sponsored by Sage Software
WHITE PAPER: Discover how one ERP system can help you reduce operating costs and boost sales.
Posted: 02 Jun 2014 | Published: 02 Jun 2014

Sage Software

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

Data Quality: The Foundation of Operational Effectiveness
sponsored by Pitney Bowes Group 1 Software
WHITE PAPER: This white paper discusses the importance of data quality operations and how to successfully implement a data quality strategy into your organization.
Posted: 13 Sep 2011 | Published: 13 Sep 2011

Pitney Bowes Group 1 Software

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.

Data Mart Consolidation
sponsored by Hexaware Technologies
WHITE PAPER: This white paper explores how Data Mart consolidation is an effective tool for saving money when dealing with large volumes of data.
Posted: 12 Sep 2011 | Published: 12 Sep 2011

Hexaware Technologies

IBM Cognos Framework Manager - Ensure consistent business intelligence data across the enterprise
sponsored by IBM
WHITE PAPER: This resource examines the value of metadata in business intelligence, and introduces a metadata modeling tool for managing access to all existing data sources and ensuring data trustworthiness.
Posted: 15 Jan 2014 | Published: 31 Oct 2010

IBM

Oracle Data Integrator 12c New Features Overview
sponsored by Oracle Corporation
WHITE PAPER: In this rapid, explosive age of big data, smart data integration solutions are truly key in modern businesses. This white paper offers a wealth of information about a best-of-breed data integration platform focused on fast bulk data movement and handling complex data transformations.
Posted: 14 Nov 2013 | Published: 31 Oct 2013

Oracle Corporation

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