Conceptual Data Modeling Reports

Focus: Analytics & data-driven insights
sponsored by TechTarget ComputerWeekly.com
EGUIDE: In this e-guide, learn about the state of adoption of data analytics in Australia, how Commonwealth Bank is making analytics tools more accessible to small companies and how SAS is prepping its marketers for the data flood.
Posted: 08 Feb 2021 | Published: 02 Jun 2017

TechTarget ComputerWeekly.com

AI & Automation: Turning data into insights
sponsored by TechTarget ComputerWeekly.com
EGUIDE: In this e-guide, read more about the trends that are shaping the demand for AI and how organizations including healthcare service providers and F1 racing teams are leveraging technology on their own terms.
Posted: 08 Feb 2021 | Published: 11 Jul 2018

TechTarget ComputerWeekly.com

The Benefits of Data Modeling in Business Intelligence
sponsored by CA ERwin from CA Technologies
WHITE PAPER: Through data modeling of BI systems, we can meet many of today’s data challenges. Through logical and physical modeling of business intelligence systems, we can enable the delivery of the correct business information to business users. Read this paper to learn more.
Posted: 08 Jun 2010 | Published: 30 Oct 2009

CA ERwin from CA Technologies

Best Practices for Implementing a Data Warehouse on Oracle Exadata Database Machine
sponsored by Oracle Corporation
WHITE PAPER: By using the Oracle Exadata Database Machine as a data warehouse platform you have a balanced, high performance hardware configuration. This paper focuses on the other two corner stones, data modeling and data loading, providing a set of best practices and examples for deploying a data warehouse on the Oracle Exadata Database Machine.
Posted: 25 Apr 2011 | Published: 30 Nov 2010

Oracle Corporation

The Big Data Surge: Data Modeling Challenges & Best Practices for Prepping Big Data Apps for Production
sponsored by IBM
EGUIDE: Surging big data is changing data modeling techniques and app development cycles. Read on to discover what you should expect from big data's near-future and best practices when it comes to transitioning big data applications into the production stage.
Posted: 27 Jul 2016 | Published: 26 Jul 2016

IBM

Getting Started with Master Data Management
sponsored by TechTarget Data Management
EBOOK: Master data management (MDM) can help companies make better use of their corporate data by ensuring that iformation is accurate and consistent across all systems. In this e-book, gain best practices and expert tips and advice on how to successfully structure and manage MDM programs.
Posted: 23 Oct 2013 | Published: 23 Oct 2013

TechTarget Data Management

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

Sybase PowerDesigner for information architecture
sponsored by Sybase, an SAP company
WHITE PAPER: This paper explains how modeling information architecture (IA) can help reduce the costs associated with data management. Read this now and learn about the benefits of implementing IA and how Sybase's option offers modeling support for database design and enterprise architecture.  
Posted: 16 Apr 2012 | Published: 16 Apr 2012

Sybase, an SAP company

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

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