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Conceptual Data Modeling

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Conceptual Data Modeling Reports
 
Getting Started with Master Data Management
sponsored by SearchDataManagement
EBOOK: Master data management (MDM) can help companies make better use of their corporate data by ensuring that iformation is accurate and consistent across all systems. In this e-book, gain best practices and expert tips and advice on how to successfully structure and manage MDM programs.
Posted: 23 Oct 2013 | Published: 23 Oct 2013

SearchDataManagement

Tip Guide: Five goals for implementing Oracle Business Intelligence Applications
sponsored by SAP America, Inc.
EGUIDE: Oracle Business Intelligence Applications (OBIA) can give organizations deeper analytical views into their business performance. In this tip guide, readers will learn about five key areas organizations should focus on when implementing OBIA.
Posted: 14 Dec 2011 | Published: 07 Dec 2011

SAP America, Inc.

Predictive Analytics in Action: Real-World Examples and Advice
sponsored by SearchBusinessAnalytics
EBOOK: If your organization is looking to deploy advanced predictive analytics, you will need to make sure you have the right level of skills to avoid pitfalls and keep costs down. This expert e-book details everything you need to know about embarking on a predictive analytics endeavor.
Posted: 19 May 2014 | Published: 19 May 2014

SearchBusinessAnalytics

Transparent Integration and Synchronization of Data with DataXtend Enterprise
sponsored by Progress
WHITE PAPER: Many SOA projects fail due to underestimating requirements for dealing with the data layer of the infrastructure. Learn how to synchronize data in real time across a distributed enterprise, using a transformation system based on a common data model.
Posted: 09 Oct 2006 | Published: 01 Oct 2006

Progress

The Benefits of Data Modeling in Business Intelligence
sponsored by CA ERwin from CA Technologies
WHITE PAPER: Through data modeling of BI systems, we can meet many of today’s data challenges. Through logical and physical modeling of business intelligence systems, we can enable the delivery of the correct business information to business users. Read this paper to learn more.
Posted: 08 Jun 2010 | Published: 30 Oct 2009

CA ERwin from CA Technologies

Get Rapid Insights From Your Marketing Data
sponsored by SAP
VIDEO: Many marketing teams struggle with the inability to access the data they need quickly and easily. Watch this video to learn about a data visualization software that can help you gather, analyze, and present marketing data to solve your most pressing business questions.
Posted: 11 Oct 2013 | Premiered: 10 Jul 2013

SAP

Hilton Sets the Table for Increases in Catering Revenue with New Database Solution
sponsored by Microsoft
CASE STUDY: Hilton Hotels needed to develop a forecasting system to improve its business analysis process by establishing more accurate pricing and financial planning.
Posted: 06 Jul 2006 | Published: 01 Jan 2005

Microsoft

Best Practices in Data Management
sponsored by SAS
WHITE PAPER: The key enterprise risk management (ERM) issue for many financial institutions is to get enriched data in a single place in order to report on it. Learn best practices for data management that are critical for ERM.
Posted: 06 Mar 2008 | Published: 01 Jan 2007

SAS

Presentation Transcript: The Power of Universal Patterns and Models for Master Data Management
sponsored by Embarcadero Technologies, Inc.
PRESENTATION TRANSCRIPT: In this presentation transcript featuring best-selling author, Len Silverston, learn how to implement universal patterns for data modeling to improve management flexibility. Gain insight into various modeling choices to meet your organization's needs. Discover how to improve quality and reduce management costs by re-using patterns.
Posted: 19 Oct 2009 | Published: 19 Oct 2009

Embarcadero Technologies, Inc.

IBM Information Server FastTrack
sponsored by IBM
WHITE PAPER: This white paper describes how IBM's Information Server FastTrack accelerates the translation of business requirements into data integration projects. Data integration projects require collaboration across analysts, data modelers and developers.
Posted: 13 Aug 2008 | Published: 13 Aug 2008

IBM
 
 
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