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Conceptual Data Modeling

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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

Fast-Tracking Data Warehousing & Business Intelligence Projects via Intelligent Data Modeling
sponsored by Embarcadero Technologies, Inc.
WHITE PAPER: Often times Business Intelligence (BI) projects miss the mark with their business users because the proper documenting of required data and related business rules is not executed. This paper looks at fast-tracking data warehousing and BI projects using data modeling.
Posted: 15 Jun 2011 | Published: 01 Jan 2010

Embarcadero Technologies, Inc.

Fast Tracking Data Warehousing & BI Projects Via Intelligent Data Modeling
sponsored by Embarcadero Technologies, Inc.
WEBCAST: In this webcast, you’ll learn from BI and enterprise modeling expert, Claudia Imhoff how intelligent data modeling practices to design and deliver superior BI faster, the characteristics and benefits of intelligent data modeling, How to promote the use of data models to fast-track data warehouse and BI projects, and more.
Posted: 03 Sep 2010 | Premiered: Sep 3, 2010

Embarcadero Technologies, Inc.

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

Sybase IQ Powers Predictive Analytics
sponsored by Sybase, an SAP company
WHITE PAPER: Sybase IQ is a market-leading analytics server which enables organizations to perform deep analysis of massive amounts of data, accessed by multiple users requiring answers in real time.
Posted: 25 Mar 2011 | Published: 25 Mar 2011

Sybase, an SAP company

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

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

Tip Guide: Case History: How DCM helped one global company improve customer service everywhere
sponsored by IBM
EGUIDE: This tip guide continues ebizQ.com's exploration of best practices in architecture and other aspects of case management. Inside, learn how one global institution built a dynamic case management (DCM) architecture to better serve its customers all over the world.
Posted: 06 Dec 2011 | Published: 05 Dec 2011

IBM

Service Management: Taking Business to the Next Level
sponsored by LabTech Software
EGUIDE: In this e-guide, gain essential knowledge of recent developments around IT services. Read on to learn why success entails more than delivering snazzy services, and why enterprise architects are working to bring SOA and master data management (MDM) efforts together.
Posted: 30 Aug 2013 | Published: 30 Aug 2013

LabTech Software

Top 10 Data Mining Mistakes
sponsored by SAS
WHITE PAPER: In the following paper, we briefly describe, and illustrate from examples, what we believe are the “Top 10” mistakes of data mining, in terms of frequency and seriousness. Most are basic, though a few are subtle. All have, when undetected, left analysts worse off than if they’d never looked at their data.
Posted: 07 Apr 2010 | Published: 07 Apr 2010

SAS
 
 
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