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Developing A Universal Approach To Cleansing Customer And Product Data sponsored by SAP America Inc
 | White Paper: | Posted: 04 Jun 2009
| | Published: | 02 Jun 2009 | |
Summary: |
Data quality has always been an important issue for companies, and this
is even more the case today. This paper reviews current industry problems concerning data quality, and takes a detailed look at how companies are addressing quality problems with customer, product, and other types of corporate data.
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Enterprise Information Management sponsored by SAP America Inc
 | White Paper: | Posted: 04 Jun 2009
| | Published: | 02 Jun 2009 | |
Summary: |
EIM is the effort and practice of reaching across all data and application silos embedded in the organization's operating infrastructure; then binding those repositories together into one effective information management environment. This white paper will discuss metadata management, master data management, data quality, and data migration...
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Data Quality: A Survival Guide For Marketing sponsored by SAP America Inc
 | White Paper: | Posted: 04 Jun 2009
| | Published: | 02 Jun 2009 | |
Summary: |
Direct marketing is about communicating a message to a specific prospect or customer. This white paper from Business Objects, an SAP company, focuses on these concepts as they pertain to marketing, and particularly as they are supported by data quality functions inside of the broader EIM framework.
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SAP Data Migration Using Business Objects Information Management Software sponsored by SAP America Inc
 | White Paper: | Posted: 04 Jun 2009
| | Published: | 02 Jun 2009 | |
Summary: |
This paper is about using information management software from Business Objects, an SAP company, for SAP data migration projects, either for upgrades from one version of SAP to a newer one, or from other environments to SAP.
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SAP® BusinessObjects Data Services: One Product For Data Quality and Data Integration sponsored by SAP America Inc
 | White Paper: | Posted: 04 Jun 2009
| | Published: | 02 Jun 2009 | |
Summary: |
Introducing SAP® BusinessObjects Data Services breakthrough technology software for the enterprise information management market. The software unifies our leading data-quality and integration solutions - helping your organization to move, transform, and improve virtually any type of data anywhere, at any frequency.
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Practical Open Source Data Integration Case Studies & Implementation Examples sponsored by Talend
 | White Paper: | Posted: 11 Feb 2009
| | Published: | 10 Feb 2009 | |
Summary: |
This document presents a few selected case studies, illustrating real-life implementations of open source data integration and its associated benefits.
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Integrating SAP Data in the Information System Using Open Source Data Integration sponsored by Talend
 | White Paper: | Posted: 11 Feb 2009
| | Published: | 10 Feb 2009 | |
Summary: |
This Technical Note discusses Talend's data integration capabilities for SAP and covers Talend's SAP connectors, as well as additional SAP-dedicated tools.
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Business Intelligence: Putting Information to Work sponsored by SAP America Inc
 | White Paper: | Posted: 26 Jan 2009
| | Published: | 23 Jan 2009 | |
Summary: |
Business intelligence (BI) can be considered critical to the very existence of most organisations. The purpose of this research was to explore whether and how companies are using BI to improve their businesses; to identify the obstacles they encounter in its use; and predict how BI will evolve in the next ten years.
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Observing Data Quality Service Level Agreements: Inspection, Monitoring, and Tracking sponsored by DataFlux Corporation
 | White Paper: | Posted: 05 Jan 2009
| | Published: | 24 Dec 2008 | |
Summary: |
This paper discusses how implementing a DQ SLA via formalized processes can transform data quality management from a constant "fire-fighting" mode to a more consistent, proactive approach.
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Enterprise Information Management: Strategy, Best Practices & Technologies on Your Path to Success sponsored by SAP America Inc
 | White Paper: | Posted: 19 Sep 2008
| | Published: | 05 Sep 2008 | |
Summary: |
The goal of this paper is to paint the EIM landscape, noting its components but focusing on the importance of an overarching EIM strategy that focuses on corporate objectives while at the same time offering cross-functional support.
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The Return on Investment of Open Source Data Integration sponsored by Talend
 | White Paper: | Posted: 24 Jul 2008
| | Published: | 01 Jul 2008 | |
Summary: |
This white paper explains the different alternatives to open source data integration, and presents the visible and hidden costs of these alternatives, on several types of projects.
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Populating a Data Quality Scorecard with Relevant Metrics sponsored by DataFlux Corporation
 | White Paper: | Posted: 26 Jun 2008
| | Published: | 04 Jun 2008 | |
Summary: |
Too often, data governance teams rely on existing measurements as the metrics used to populate a data quality scorecard. But without a defined understanding of the relationship between specific measurement scores and the business's success criteria..
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The ROI of Data Governance: A Revenue Generation Perspective sponsored by DataFlux Corporation
 | White Paper: | Posted: 11 Jun 2008
| | Published: | 01 Jun 2008 | |
Summary: |
Read this whitepaper to learn more about data governance, and when it is appropriate to measure data efforts with ROI or other metrics. Learn about an ROI calculator of data governance and how to test assumptions about data.
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Building a Data Quality Scorecard for Operational Data Governance sponsored by DataFlux Corporation
 | White Paper: | Posted: 10 Jun 2008
| | Published: | 06 Jun 2008 | |
Summary: |
Operational data governance is the process of evaluating data to see if data effectively satisfies the organization's business needs. This is measured with a "data quality scorecard", a management tool for monitoring organizational performance.
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Oracle Database 11g for Data Warehousing and Business Intelligence sponsored by Oracle Corporation
 | White Paper: | Posted: 15 Oct 2007
| | Published: | 01 Oct 2007 | |
Summary: |
This white-paper provides an overview of Oracle Database 11g's capabilities for data warehousing, and discuses its key features and technologies. Discover how to integrate information, perform fast queries, scale to very large data volumes, and more.
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