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Data Models

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Data Models Reports
 
Shaspa - Enabling the Internet of Things
sponsored by IBM
WHITE PAPER: This whitepaper examines all the new possibilities and innovations that are now being realized through the use of cloud computing, including in retail and workplace management.
Posted: 12 Sep 2014 | Published: 12 Sep 2014

IBM

Questions and Answers on Data Center Cooling Issues
sponsored by Upsite Technologies, Inc.
WHITE PAPER: Uneven cooling is a very common problem that is likely to get much worse as server-farm power consumption rises due to increased rack heights, more equipment within racks, and increasing equipment power consumption.
Posted: 18 Feb 2008 | Published: 01 Jan 2007

Upsite Technologies, Inc.

Help Alleviate Batch Windows with Reliable, Timely Data Delivery
sponsored by IBM
WHITE PAPER: This paper examines the business issues that drive organizations to consider a real-time change data capture solution to optimize ETL processes. This helps alleviate batch windows to enable the delivery of timely, trusted information to the business.
Posted: 24 Mar 2011 | Published: 24 Mar 2011

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: 20 Apr 2011 | Published: 20 Apr 2011

CA ERwin from CA Technologies

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

Information-led Transformation Planning, Modeling and Building New Intelligence Applications
sponsored by IBM
WHITE PAPER: This white paper discusses: What is an industry model? What is the value of industry models? Considerations for building or buying data models IBM Industry Models—business and technical blueprints Reducing time to value with IBM Industry Models
Posted: 24 Mar 2011 | Published: 24 Mar 2011

IBM

Predictive Analytics in Action: Real-World Examples and Advice
sponsored by SearchBusinessAnalytics
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: 19 May 2014 | Published: 19 May 2014

SearchBusinessAnalytics

Avoiding Data Quality Failure: Identifying Data Quality
sponsored by Pitney Bowes Business Insight
PRESENTATION TRANSCRIPT: This presentation transcript features speaker Evan Levy, partner and co-founder of Baseline Consulting, a professional services firm concentrating on enterprise data issues. This discussion is about data quality and some of the challenges and pitfalls that are seen during data quality implementation.
Posted: 05 May 2009 | Published: 03 Mar 2008

Pitney Bowes Business Insight

How to write a RFP for Master Data Management: 10 Common Mistakes to Avoid
sponsored by Siperian, Inc.
WHITE PAPER: Critical master data management (MDM) functionality can be easily overlooked when request for proposals (RFPs) are narrowly focused on a single business data type. Ensure success by avoiding 10 costly mistakes when writing your RFP.
Posted: 16 Sep 2009 | Published: 01 Sep 2007

Siperian, Inc.

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
 
 
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