Modeling Reports

AI & Automation: Turning data into insights
sponsored by 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: 10 Jul 2018 | Published: 11 Jul 2018

ComputerWeekly.com

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

Presentation Transcript: Databases - When it pays to invest
sponsored by Oracle Corporation
PRESENTATION TRANSCRIPT: In today's economic environment, it is imperative that companies begin addressing ways to manage all information assets in an integrated, holistic way. Philip Howard, Research Director for Bloor Research, and Chris Baker, Senior Vice President at Oracle, discuss best practices for obtaining a fully integrated Enterprise Data Management platform.
Posted: 13 Feb 2009 | Published: 13 Feb 2009

Oracle Corporation

Getting Started with Master Data Management
sponsored by SearchDataManagement
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

SearchDataManagement

A New Measure of Sales Success
sponsored by SearchCRM
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

SearchCRM

The secrets of highly effective data governance programs
sponsored by Pitney Bowes Group 1 Software
EBOOK: The first key to a successful data governance program is ensuring user and organization expectations. To find out more secret advice for highly effective data governance programs read this expert e-Book. Our editorial team has gathered tips, techniques and best practices to plan a successful data governance plan.
Posted: 16 Sep 2011 | Published: 16 Sep 2011

Pitney Bowes Group 1 Software

Improving Data Quality Through Data Modeling
sponsored by CA ERwin from CA Technologies
WHITE PAPER: Enterprise data is largely falling short of a standard that makes it possible to utilize in how business will be conducted in the next decade. Most enterprise data is “adequate” for basic operational needs today. Download this paper to learn how to get the most out of your enterprise data.
Posted: 20 Apr 2011 | Published: 20 Apr 2011

CA ERwin from CA Technologies

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

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

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