Enterprise Modeling Reports

Competitive Analysis of Market Leaders in Data Modeling: PowerDesigner, ERwin and ER/Studio
sponsored by Sybase, an SAP company
WHITE PAPER: Read this paper to learn all the factors you need to consider when choosing a data modeling tool. You will learn about the different model types and how each tool measures up to the demanding needs of your company today and in the future. This paper will lay out all the information you need to make a clear decision on data modeling today.
Posted: 09 Jun 2009 | Published: 09 Jun 2009

Sybase, an SAP company

Driving Strategic Planning with Predictive Modeling
sponsored by Oracle Corporation
WHITE PAPER: Uncertainty makes strategic planning complex. Removing uncertainty can create unlimited business value. There are solutions to help organizations overcome uncertainty and achieve results. Read this white paper to learn how to drive strategic planning with predictive modeling.
Posted: 18 May 2010 | Published: 18 Jul 2008

Oracle Corporation

Business-Model-Driven Data Warehousing: Keeping Data Warehouses Connected to Your Business
sponsored by Kalido
WHITE PAPER: This paper analyzes the issues of conventional data warehouse design process and explains how this practice can be improved using a business-model-driven process in support of effective Business Intelligence.
Posted: 04 Jun 2008 | Published: 01 Jun 2008

Kalido

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.

Harvard Business Review's Guide to Visualizing Data
sponsored by SAS
WHITE PAPER: The following Harvard Business Review report explores the current state of data visualisation. Hear from many leading authors on how to leverage data visualisation, and the right times to use it.
Posted: 24 Apr 2014 | Published: 24 Apr 2014

SAS

Presentation Transcript: Visualize the Power of Your Data
sponsored by CA ERwin from CA Technologies
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

CA ERwin from CA Technologies

Predictive Analytics in Action: Real-World Examples and Advice
sponsored by TechTarget Business Analytics
EGUIDE: Building predictive models is a complex, time-consuming process that demands a lot of skill. This expert e-guide reveals key steps to develop and implement a successful predictive analytics initiative. Discover how you can monitor the accuracy of predictive models, identify ideal candidates for predictive analytics teams, and more.
Posted: 19 May 2014 | Published: 19 May 2014

TechTarget Business Analytics

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

Best Practices in Data Management
sponsored by SAS
WHITE PAPER: The key enterprise risk management (ERM) issue for many financial institutions is to get enriched data in a single place in order to report on it. Learn best practices for data management that are critical for ERM.
Posted: 06 Mar 2008 | Published: 01 Jan 2007

SAS

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