Conceptual Data Modeling Reports

Focus: Analytics & data-driven insights
sponsored by TechTarget ComputerWeekly.com
EGUIDE: In this e-guide, learn about the state of adoption of data analytics in Australia, how Commonwealth Bank is making analytics tools more accessible to small companies and how SAS is prepping its marketers for the data flood.
Posted: 08 Feb 2021 | Published: 02 Jun 2017

TechTarget ComputerWeekly.com

Fast-Tracking Data Warehousing & BI Projects via Intelligent Data Modeling
sponsored by Embarcadero Technologies, Inc.
WHITE PAPER: In this white paper, you will learn intelligent data modeling practices to design and deliver superior business intelligence (BI) faster, the characteristics and benefits of intelligent data modeling and how to promote the use of data models to fast-track data warehouse and BI projects.
Posted: 26 Jan 2012 | Published: 19 Jan 2012

Embarcadero Technologies, Inc.

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

Ten Things to Avoid in a Data Model
sponsored by CA ERwin from CA Technologies
WHITE PAPER: The construction of a data model is one of the more difficult tasks of software engineering and is often pivotal to the success or failure of a project. Many factors determine the effectiveness of a data model. In this white paper, industry expert Michael Blaha covers the Top 10 pitfalls to avoid - from both the strategy and detail perspective.
Posted: 20 Apr 2011 | Published: 20 Apr 2011

CA ERwin from CA Technologies

ERwin in the Cloud: How Data Modeling Supports Database as a Service (DaaS) Implementations
sponsored by CA ERwin from CA Technologies
WHITE PAPER: Cloud Computing is an emerging market, and there exist an increasing number of companies that are implementing the cloud model, products and services. Read this white paper to find out more about this exciting new technology.
Posted: 20 Apr 2011 | Published: 20 Apr 2011

CA ERwin from CA Technologies

Replication for Dummies
sponsored by Sybase, an SAP company
EBOOK: IT organizations face many data challenges. Data distribution rates and the quantity of data that consumers use is expanding exponentially in the global marketplace. Read this e-book to gain an understanding of the Sybase Replication Server and learn a series of best practices to consider when implementing a database replication strategy.
Posted: 08 Mar 2010 | Published: 05 Mar 2010

Sybase, an SAP company

Applying Business Analytics Webinar Series - Got Bad Data? Part 3
sponsored by SAS
WEBCAST: Tune in to this Webinar to find out how data quality influences the effectiveness of predictive analytics and forecasting. You’ll learn how to go beyond name and address matching to realize the potential of numerical data quality, how to overcome insufficient yet relevant data from your predictive and forecasting models, and more.
Posted: 09 Apr 2010 | Premiered: Apr 9, 2010

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.

SAP predictive analysis: What you need to know
sponsored by HP Inc
WHITE PAPER: Read on to find details about SAPs BusinessObjects Predictive Analysis, including how the NBA used HANA to help cater to stat-hungry fans.
Posted: 27 Aug 2013 | Published: 27 Aug 2013

HP Inc

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