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Reference Data Management White Papers (View All Report Types)
 
The 8 Worst Practices in Master Data Management and How to Avoid Them
sponsored by Information Builders
WHITE PAPER: Real-time decision making is essential to gain competitive advantage, and to make the best decisions, you need accurate, complete, and timely data -- you need master data management (MDM). View this white paper to discover the eight worst possible practices of MDM and how to avoid them
Posted: 15 May 2014 | Published: 15 May 2014

Information Builders

Driving Information-led Business Innovation with IBM Information Server
sponsored by IBM Software Group
WHITE PAPER: Learn about a software platform that helps companies derive more value from the complex, heterogeneous information spread across systems. Learn how to integrate disparate data and deliver trusted information wherever and whenever.
Posted: 16 Nov 2006 | Published: 01 Sep 2006

IBM Software Group

Why Companies Fail: And the Information Imperatives to Help Ensure Survivability
sponsored by Kalido
WHITE PAPER: Companies are failing at an unprecedented rate. Read this paper to learn how Kalido's Active Information Management software can help companies accommodate the kinds of information required to stave off failure.
Posted: 04 Jun 2008 | Published: 01 Jan 2007

Kalido

IBM Information Management Software - The New Information Agenda
sponsored by IBM
WHITE PAPER: This white paper defines what an information agenda is, describes key considerations and best practices in creating and implementing an information agenda, and explains how IBM can help you to deliver trusted information enterprise wide.
Posted: 29 May 2008 | Published: 01 Jan 2008

IBM

Lessons Learned: Survey of Financial Services Companies Uncovers Data Governance Trends
sponsored by DataFlux Corporation
WHITE PAPER: In the summer of 2009, DataFlux conducted a survey to understand data management trends in the financial services industry. The research examined how this industry is approaching managing its data, the breadth and depth of data governance in this sector, what motivates data management strategies, and more.
Posted: 22 Jan 2010 | Published: 22 Jan 2010

DataFlux Corporation

The Flawed Vision of Customer Data Integration – How to Get it Right the First Time
sponsored by Siperian, Inc.
WHITE PAPER: The initial goal of Customer Data Integration (CDI) was to create the most reliable customer data for the entire company. We now know that the golden opportunity for CDI lies within Master Data Management and the ability to uncover interactions and understand the relationships that companies have with their customers.
Posted: 16 Sep 2009 | Published: 16 Sep 2009

Siperian, Inc.

Methodology for Information Quality Management
sponsored by Harte-Hanks Trillium Software
WHITE PAPER: This paper discusses how Trillium Software extends that principle to ensure services are driven by data governance defining the criticality and use for the data, and establishing roles and responsibilities within the business and IT to achieve business goals and objectives.
Posted: 10 May 2011 | Published: 10 May 2011

Harte-Hanks Trillium Software

How to write a RFP for Master Data Management: 10 Common Mistakes to Avoid
sponsored by Siperian, Inc.
WHITE PAPER: Critical master data management (MDM) functionality can be easily overlooked when request for proposals (RFPs) are narrowly focused on a single business data type. Ensure success by avoiding 10 costly mistakes when writing your RFP.
Posted: 16 Sep 2009 | Published: 01 Sep 2007

Siperian, Inc.

Enterprise Information Management, Enterprise Content Management, Master Data Management - How Do They Fit Together
sponsored by IBM
WHITE PAPER: Enterprise Content Management (ECM) has started to move beyond departmental deployments and into an important competence and infrastructural technology.
Posted: 23 Apr 2008 | Published: 01 Jan 2008

IBM

The MDM advantage: Creating insight from big data
sponsored by IBM
WHITE PAPER: Ensuring your data is trustworthy and protected isn't simple, especially when you're dealing with the volume, variety, and velocity of big data. But you can't risk your end users placing confidence in untrustworthy information -- so what can you do?
Posted: 26 Dec 2013 | Published: 31 Jul 2013

IBM
 
 
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