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

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

Sybase IQ Powers Predictive Analytics
sponsored by Sybase, an SAP company
WHITE PAPER: Sybase IQ is a market-leading analytics server which enables organizations to perform deep analysis of massive amounts of data, accessed by multiple users requiring answers in real time.
Posted: 25 Mar 2011 | Published: 25 Mar 2011

Sybase, an SAP company

Technical Visualization Workload Optimization
sponsored by Adaptive Computing
WHITE PAPER: Discover how a private technical compute cloud can help your business provide access to remote, full 3D technical visualization and rendering capabilities that can help to enhance collaboration and productivity.
Posted: 04 Jun 2012 | Published: 04 Jun 2012

Adaptive Computing

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

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

Tip Guide: Case History: How DCM helped one global company improve customer service everywhere
sponsored by IBM
EGUIDE: This tip guide continues ebizQ.com's exploration of best practices in architecture and other aspects of case management. Inside, learn how one global institution built a dynamic case management (DCM) architecture to better serve its customers all over the world.
Posted: 06 Dec 2011 | Published: 05 Dec 2011

IBM

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

Fast-Tracking Data Warehousing & Business Intelligence Projects via Intelligent Data Modeling
sponsored by Embarcadero Technologies, Inc.
WHITE PAPER: Often times Business Intelligence (BI) projects miss the mark with their business users because the proper documenting of required data and related business rules is not executed. This paper looks at fast-tracking data warehousing and BI projects using data modeling.
Posted: 15 Jun 2011 | Published: 01 Jan 2010

Embarcadero Technologies, Inc.

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