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Data Models

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Data Models Reports
 
Predictive Analytics in Action: Real-World Examples and Advice
sponsored by SAS
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: 14 Mar 2013 | Published: 31 Dec 2012

SAS

Improving Data Quality Through Data Modeling
sponsored by CA ERwin from CA Technologies
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

CA ERwin from CA Technologies

Does Data Modeling Still Matter Amid the Market Shift to XML, NoSQL,Big Data, and the Cloud?
sponsored by Embarcadero Technologies, Inc.
WHITE PAPER: Many organizations have reconsidered their commitments to data modeling in the face of NoSQL and big data systems, as well as XML information management. However, should you really be shifting focus away from data modeling?
Posted: 24 Feb 2014 | Published: 24 Feb 2014

Embarcadero Technologies, Inc.

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

Explore Your Business at the Speed of Thought
sponsored by SAP America, Inc.
WHITE PAPER: This paper explores the problems of bringing BI to everyone in the enterprise without heavily relying on IT, and presents a solution for this very problem. Read on to learn how SAP® BusinessObjects™ Explorer solution will solve your BI visibility problems.
Posted: 01 Feb 2010 | Published: 01 Feb 2010

SAP America, 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

Get Analytics Right from the Start
sponsored by Sybase, an SAP company
WHITE PAPER: Whether or not analytics should become an integral part of an organization’s planning and decision-making seems to be beyond question However, at what level, for what purpose and how to go about deploying analytics are questions that each organization needs to answer for itself. These questions are the focus of this paper.
Posted: 05 Aug 2010 | Published: 05 Aug 2010

Sybase, an SAP company

Presentation Transcript: Databases - When it pays to invest
sponsored by Oracle Corporation
PRESENTATION TRANSCRIPT: In today's economic environment, it is imperative that companies begin addressing ways to manage all information assets in an integrated, holistic way. Philip Howard, Research Director for Bloor Research, and Chris Baker, Senior Vice President at Oracle, discuss best practices for obtaining a fully integrated Enterprise Data Management platform.
Posted: 13 Feb 2009 | Published: 13 Feb 2009

Oracle Corporation

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

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: 19 Oct 2010 | Published: 01 Aug 2010

CA ERwin from CA Technologies
 
 
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