MDM White Papers

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White Paper: Proven Strategies for Archiving Complex Relational Data
sponsored by IBM
WHITE PAPER: Database growth, long-term data retention regulations and storage requirements increase operational costs. Yet, archiving complex relational data poses many challenges. Optim Data Growth Solution provides proven technology and comprehensive capabilities that make archiving complex relational data practical and desirable.
Posted: 04 Sep 2009 | Published: 01 Dec 2008

IBM

Holistic Master Data Management Solutions and Services: Establishing the Foundation for Increasing Business Value
sponsored by Accenture
WHITE PAPER: Master data management solutions helps organizations maximize the value of postmerger integrations, manage the product lifecycle, meet regulatory requirements and improve the effectiveness of transactional and reporting systems.
Posted: 26 Jun 2008 | Published: 01 Jan 2007

Accenture

Treating Data as an Enterprise Asset to Achieve Business Value
sponsored by IBM
WHITE PAPER: This paper explores how Telecoms who apply information governance to solve business problems and service significant events in a similar manner can recognize significant return. Learn how information governance can help Telecom's improve the quality and reliability of data to increase profitability, reduce unnecessary costs and risks.
Posted: 27 Jul 2011 | Published: 27 Jul 2011

IBM

Take BI to the Next Level with In-Memory Technology
sponsored by SAP APJ
WHITE PAPER: SAP in-memory computing is putting the "r" back in "real-time" computing by bringing together online transaction processing (OLTP) applications and online analytical processing (OLAP) applications at a lower total cost. Get an in-depth look at how this technology will impact business.
Posted: 21 Apr 2012 | Published: 31 Mar 2011

SAP APJ

CIO2CIO Global Research Study: Business Intelligence and Master Data Management (MDM)
sponsored by SAP America, Inc.
WHITE PAPER: This global CIO2CIO research program was conducted for SAP, Inc. to gain insight into information management practices in various regions of the world and the research was conducted among IT professionals in the U.S., Europe and Asia.
Posted: 18 Jun 2008 | Published: 01 Jul 2007

SAP America, Inc.

Revenue Management: Exploiting existing data to generate increased revenue
sponsored by Datactics
WHITE PAPER: This white paper considers the potential of exploiting existing data held by organizations in such a way that it can be used to generate increased revenue. It considers the issues facing organizations in terms of the quality of their master data, as well as making recommendations to achieve improved revenue management.
Posted: 28 Jan 2010 | Published: 28 Jan 2010

Datactics

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

Data Quality Considerations in Master Data Management Structures
sponsored by Pitney Bowes Group 1 Software
WHITE PAPER: In this white paper, learn how to implement and enforce enterprise-wide Master Data Management solutions.
Posted: 13 May 2008 | Published: 01 May 2008

Pitney Bowes Group 1 Software

Right Data, Right Place, Real-time: How Master Data Management Supercharges Fast-Moving Businesses
sponsored by Boomi
WHITE PAPER: Is inconsistent and inaccurate data costing you money? Learn about the value and benefits that cloud-based MDM can deliver. Find out why MDM matters to every organization, how next-gen MDM systems meet the needs of fast-moving enterprises and how to successfully adopt MDM. Plus, get compelling business cases for MDM.
Posted: 14 Feb 2014 | Published: 31 Dec 2013

Boomi

Rethink Your Next Generation Business Intelligence Strategy
sponsored by IBM
WHITE PAPER: Ray Wang of The Altimeter Group explores the IT and business criteria organizations must consider when planning their next BI deployment.
Posted: 28 Oct 2010 | Published: 28 Jun 2010

IBM