All Research Sponsored By:CA ERwin from CA Technologies

A Usability Comparison of the Top Three Data Modeling Tools
WHITE PAPER: Read this white paper to get a comparison of data modeling tools.
Posted: 20 Oct 2011 | Published: 20 Oct 2011


ERwin in the Cloud: How Data Modeling Supports Database as a Service (DaaS) Implementations
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


Improving Data Quality Through Data Modeling
WHITE PAPER: Enterprise data is largely falling short of a standard that makes it possible to utilize in how business will be conducted in the next decade. Most enterprise data is “adequate” for basic operational needs today. Download this paper to learn how to get the most out of your enterprise data.
Posted: 20 Apr 2011 | Published: 20 Apr 2011


Ten Things to Avoid in a Data Model
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


Presentation Transcript: Visualize the Power of Your Data
PRESENTATION TRANSCRIPT: Growing data volumes, diverging data sources, amplified information complexity, and increasingly varied users have made it difficult to take advantage of data as a true corporate asset. In this transcript featuring industry thought leader David Loshin, learn how to turn data complexity into an information advantage.
Posted: 25 Feb 2011 | Published: 25 Feb 2011


Improving Data Quality Through Data Modeling
WEBCAST: Explore with William McKnight the factors involved and how organizations should go about valuing data quality through modeling and taking the right steps to remediate data quality defects throughout the enterprise.
Posted: 20 Oct 2010 | Premiered: Jul 22, 2010


Ten Things to Avoid in a Data Model
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: 19 Oct 2010 | Published: 01 Aug 2010


ERwin® in the Cloud: How Data Modeling Supports Database as a Service (DaaS) Implementations
WHITE PAPER: Learn how Data Modeling supports cloud computing since interaction among the Cloud Service Provider, Cloud Administration and Customer needs to include a well thought out data architecture before a DBMS designed offering in cloud computing is deployed. Continue reading to learn more.
Posted: 19 Oct 2010 | Published: 01 Jun 2010


The Benefits of Data Modeling in Business Intelligence
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