Conceptual Data Modeling Reports

CIO Trends APAC: Developing a data-driven culture
sponsored by TechTarget ComputerWeekly.com
EGUIDE: In this e-guide, read more about what organisations in Asia-Pacific are doing to sharpen their data analytics strategies to cope with business demands in a challenging economic climate.
Posted: 08 Feb 2021 | Published: 13 Jul 2020

TechTarget ComputerWeekly.com

Well-Built Models Set Up Big Data Projects to Prosper
sponsored by TechTarget Business Analytics
EBOOK: Predictive analytics in big data modeling provide organizations with increased opportunities to use their collections of big data.
Posted: 08 Jul 2014 | Published: 08 Jul 2014

TechTarget Business Analytics

SAP CRM Rapid Deployment Solution
sponsored by SAP America, Inc.
RESOURCE CENTER: See how the SAP CRM Rapid Deployment Solution – helps organizations to get essential CRM capabilities, quickly at an affordable price and provides customers options to grow as their businesses grow
Posted: 23 Mar 2011 | Published: 23 Mar 2011

SAP America, Inc.

A New Measure of Sales Success
sponsored by TechTarget Customer Experience
EBOOK: This expert guide divulges essential information on how to use the newest sales tools for customer prospect generation; bolster sales forecasting with data modeling; use location-based apps; and more.
Posted: 21 Nov 2014 | Published: 21 Nov 2014

TechTarget Customer Experience

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

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

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

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

Replication for Dummies
sponsored by Sybase, an SAP company
EBOOK: IT organizations face many data challenges. Data distribution rates and the quantity of data that consumers use is expanding exponentially in the global marketplace. Read this e-book to gain an understanding of the Sybase Replication Server and learn a series of best practices to consider when implementing a database replication strategy.
Posted: 08 Mar 2010 | Published: 05 Mar 2010

Sybase, an SAP company

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