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Conceptual Data Modeling

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Conceptual Data Modeling White Papers (View All Report Types)
 
Building a Business Case for Data Governance: Ten Critical Steps
sponsored by Information Builders
WHITE PAPER: This resource counts down 10 key steps that will help you build the business case for data governance in your organization. Also inside, learn about tools and tactics that will ensure your data governance project is a success.
Posted: 01 May 2013 | Published: 31 Dec 2012

Information Builders

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

Business Oriented Information Architecture
sponsored by Sybase, an SAP company
WHITE PAPER: This paper outlines an information architecture (IA) and why it is useful in determining everything from the robustness of IT projects to testing business process scenarios to see if they satisfy the wide-ranging needs of your business. Read this now to learn more about IA, including its basic design, how to start your program and more.
Posted: 17 Apr 2012 | Published: 16 Apr 2012

Sybase, an SAP company

Accelerating Application Deployment with InfoSphere Foundation Tools
sponsored by IBM
WHITE PAPER: Despite criticism of application development methodology over the years, some fundamental problems haven’t been addressed successfully. This paper examines a new direction supported by the IBM InfoSphere Foundation Tools. These tools provide a coordinated approach well-suited to the special needs of contemporary information-centric development.
Posted: 16 Aug 2010 | Published: 13 Aug 2010

IBM

Choosing visual properties for successful visualizations
sponsored by IBM
WHITE PAPER: In the following article, IBM experts address a key aspect in the design process.
Posted: 09 Oct 2013 | Published: 09 Oct 2013

IBM

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.

7 Technology Trends that are Game Changers for Public Sector BIM
sponsored by DLT Solutions
WHITE PAPER: As BIM practices and technologies continue to evolve, what does the future hold? From mobile-enabled BIM to simplifying the prefabrication of building materials and systems, download this white paper to discover 7 technology trends that are changing the BIM landscape for the public sector.
Posted: 04 Dec 2015 | Published: 04 Dec 2015

DLT Solutions

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

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

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
 
 
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