Reference Data Management Reports

Accelerating Application Deployment with InfoSphere Foundation Tools
sponsored by IBM
WHITE PAPER: Despite criticism of application development methodology over the years, some fundamental problems haven’t been addressed successfully. This paper examines a new direction supported by the IBM InfoSphere Foundation Tools. These tools provide a coordinated approach well-suited to the special needs of contemporary information-centric development.
Posted: 16 Aug 2010 | Published: 13 Aug 2010

IBM

Core Data Services: Basic Components for Establishing Business Value
sponsored by Pitney Bowes Business Insight
WHITE PAPER: This paper explores how a consolidated set of value-added data services that span the scope of data management best practices can reduce operational costs, increase efficiency, all while improving the quality and utility of enterprise data.
Posted: 10 Jun 2011 | Published: 10 Jun 2011

Pitney Bowes Business Insight

Creating a Trusted View in the Era of Big Data
sponsored by IBM
WEBCAST: In this on-demand webcast, learn about the importance of creating a trusted view of your big data assets and discover how the right tools can help you get there.
Posted: 23 Dec 2013 | Premiered: Nov 14, 2013

IBM

DataFlux Positioned in Leaders Quadrant of the 2010 Magic Quadrant for Data Quality Tools
sponsored by DataFlux Corporation
ANALYST REPORT: DataFlux was recently positioned by Gartner, Inc. in the Leaders Quadrant of its 2010 “Magic Quadrant for Data Quality Tools” report. Gartner’s Magic Quadrants evaluate vendors within a particular technology market based on their completeness of vision and ability to execute. Use this Magic Quadrant to understand the data quality tools market.
Posted: 03 Aug 2010 | Published: 29 Jul 2010

DataFlux Corporation

Mastering High Performance through Data Management for Consumer Goods Companies
sponsored by Accenture
BROCHURE: As partners in some countries join to collaborate in a multi-polar world, the amount of data increases and the chances for error balloon, master data management helps bring continued high performance in the demanding consumer-goods market.
Posted: 26 Jun 2008 | Published: 01 Jan 2007

Accenture

Boost the Value of Information With Master Data Management
sponsored by Information Builders
WHITE PAPER: This paper explains master data in more detail, offers guidance for planning a master data management (MDM) plan and focuses on aligning IT with your business needs.
Posted: 05 Dec 2011 | Published: 05 Dec 2011

Information Builders

The State of Data Quality Today: An Information Difference Research Study
sponsored by Pitney Bowes Business Insight
ANALYST REPORT: This paper brings an in-depth look at the results of this survey and tries to clearly define and measure the state of data quality. Read this paper to learn what 193 respondents who completed the survey from all around the world had to say about the state of data quality.
Posted: 31 Aug 2009 | Published: 31 Aug 2009

Pitney Bowes Business Insight

Total Data Quality Integration Toolkit (TDQ-IT) for Master Data Management … powered by the Microsoft SQL Server SSIS 2005/2008
sponsored by Melissa
WHITE PAPER: The Total Data Quality Integration Toolkit is an affordable, full-featured enterprise data integration platform and rich development environment for creating and managing data assets that can be leveraged specifically for MDM applications. TDQ-IT leverages SSIS to provide a flexible, effective solution for data quality and MDM initiatives.
Posted: 20 Apr 2010 | Published: 20 Apr 2010

Melissa

Client Case Study: Bouyges Telecom
sponsored by IBM
WHITE PAPER: In this case study, Bouygues Telecom uses an analysis platform to help it proactively uncover online and in-store fraud by consumers, dealers and organized crime groups, and prevent the subsequent loss of products and revenue.
Posted: 28 Jul 2011 | Published: 28 Jul 2011

IBM

eGuide: Effective enterprise information management: Key strategies and mistakes to avoid
sponsored by IBM
EGUIDE: In this informative e-guide you will learn the initial steps to launching an EIM program, how to assess current data governance, quality management, master data management and architecture to ensure EIM success, the best practices for determining the best business opportunities and more.
Posted: 17 Nov 2011 | Published: 17 Nov 2011

IBM