Key Elements of Master Data Management
by Andy Hayler, Philip Howard
Bloor Research recently released an independent white paper that delivers some very useful insights into the needs, practices, and challenges faced by companies implementing a Master Data Management (MDM) program.

Converging Text and Business Intelligence
by Clarabridge
This content mining platform avoids the pitfalls of previous approaches to unstructured analysis.

How Data Profiling & Analysis Saves Companies Millions
You can take charge of organization’s data to create a faster, smarter more competitive enterprise by improving data quality, cutting integration costs and improving the returns from data warehousing initiatives, ERP, CRM, SCM and BI/BPM.

Total Data Quality; A Business Solution for Today and Tomorrow
From a business perspective, learn how Total Data Quality offers a comprehensive strategy and a full range of tactics for turning raw data into meaningful corporate data assets.

Realizing Master Data Management
An organization's master data may well be its most valuable set of assets. Learn why companies want master data management, how to achieve it and what is required.

Solving the Source Data Problem
A strong automated data profiling process can keep IT projects on the fast track and provide for continuous data monitoring as well.

Data Quality Essentials
This new white paper describes the techniques used by successful companies to plan and implement data quality processes as part of a point solution or enterprise-wide initiative.

Identity Resolution: A Key to CDI Value
by Linda McHugh
Identity resolutions exploit heuristic, phonetic and statistical algorithms to locate matches even in the presence of variation.

Data Quality and Regulatory Compliance: Watching Your Watchlists
by Robert Lerner
Compliance is not going away any time soon, and it should therefore be approached as a long-term, organization-wide requirement.

The CIO's Guide to Taking Data Asset Metrics to the Boardroom
Data quality can affect all aspects of your organization. This white paper by explains what executives and CIOs need to know to foster an environment of continual data improvement throughout the company.

Data Integration: Using ETL, EAI, and EII Tools to Create an Integrated Enterprise
by Colin White
A sequel to TDWI’s 2003 Data Integration Report, evaluates the recent evolution of data integration tools and methodologies, from both a data warehousing perspective and an enterprise-wide strategy standpoint.

Using Data Integration to Build a Single, Accurate and Consistent Customer View
by Robert Lerner
This paper examines the challenges that companies face in creating a unified view of its customers, and discusses how customer data integration (CDI) provides a complete and accurate customer view.

The Challenges of CDI
by Jill Dyché
The need to manage and maintain accurate customer data is more than a best-practice. This white paper offers you suggestions for successfully creating a single view of the customer.

A Taxonomy of Data Integration Alternatives
by Fernando Martinez-Campos
Baseline Consulting evaluates the ongoing process of data integration.

Customer Data Integration Implementations
by Anurag Wadehra
Why all implementation styles are not created equal.

Making the Most of Your Data Assets
Customer-centric companies will enjoy a significant distinct competitive advantage over traditional companies.