Reference Data Management White Papers

(View All Report Types)
Data Quality Strategy: A Step-by-Step Approach
sponsored by SAP America, Inc.
WHITE PAPER: Learn about the importance of having a data quality strategy and setting the overall goals. The six factors of data are also explained in detail and how to tie it together for implementation.
Posted: 01 Feb 2010 | Published: 01 Feb 2010

SAP America, Inc.

MDM and Data Quality for the Data Warehouse
sponsored by Informatica
WHITE PAPER: This executive brief explains how the combination of master data management (MDM) and data quality (DQ) can significantly enhance the accuracy and reliability of data, enabling timely, confident decisions and accurate reporting.
Posted: 26 Mar 2014 | Published: 31 Dec 2013

Informatica

Business-Model-Driven Data Warehousing: Keeping Data Warehouses Connected to Your Business
sponsored by Kalido
WHITE PAPER: This paper analyzes the issues of conventional data warehouse design process and explains how this practice can be improved using a business-model-driven process in support of effective Business Intelligence.
Posted: 04 Jun 2008 | Published: 01 Jun 2008

Kalido

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

CUSTOMER DATA INTEGRATION (CDI)
sponsored by Wipro
WHITE PAPER: Customer Data Integration technologies can help to create a single, informative, accurate and timely view of the customer across the enterprise which can be used intelligently to achieve the banks objectives.
Posted: 26 Feb 2008 | Published: 01 Jan 2007

Wipro

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

Building a Robust Business Case for High Quality Master Data
sponsored by Melissa
WHITE PAPER: This white paper explains the key elements for building a proper, quantified business case. It presents the measures that are favored by corporate finance departments, and helps develop a strong business case for data quality and MDM projects. A number of real-life examples with quantifiable benefits are also included.
Posted: 19 Apr 2010 | Published: 01 Feb 2010

Melissa

Open Source Master Data Management - The Time is Right
sponsored by Talend
WHITE PAPER: Proper master data management (MDM) is very valuable when available to enterprise business processes and analytics. However, master data projects are often challenging, architecturally complex, time intensive and expensive. This paper explains why the time is right for open source MDM, and predicts the effects of open source on the MDM marketplace.
Posted: 16 Mar 2010 | Published: 16 Mar 2010

Talend

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

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