Modeling Reports

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

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

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: 17 Dec 2015 | Published: 10 Dec 2015

TechTarget Customer Experience

Utilizing Data-aware Storage in the Age of Convergence
sponsored by IBM
EGUIDE: Access the latest on converged, data-aware storage architectures, which seek to improve performance optimization through smart deduplication and compression schemes, app-aligned caching and tiering, policy-definable QoS, and data protection schemes. Additionally, discover why flash is crucial to convergence.
Posted: 03 Nov 2016 | Published: 27 Oct 2016

IBM

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

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

Improving Data Quality Through Data Modeling
sponsored by CA ERwin from CA Technologies
WEBCAST: Explore with William McKnight the factors involved and how organizations should go about valuing data quality through modeling and taking the right steps to remediate data quality defects throughout the enterprise.
Posted: 20 Oct 2010 | Premiered: Jul 22, 2010

CA ERwin from CA Technologies

IBM InfoSphere Data Architect V7.6
sponsored by IBM
TRIAL SOFTWARE: IBM InfoSphere Data Architect is a collaborative data design solution to help you discover, model, relate, and standardize diverse and distributed data assets. It supports dimensional modeling. This page contains more information about the product and access to a 30-day trial.
Posted: 20 Dec 2011 | Premiered: 20 Dec 2011

IBM

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

IBM InfoSphere DataStage Performance and Scalability Benchmark White Paper 
sponsored by IBM
WHITE PAPER: This paper highlights the performance and scalability potential of InfoSphere DataStage 8.1 based on a benchmark test simulating a data warehouse scenario. The benchmark is designed to use the profiled situation to provide insight about how InfoSphere DataStage addresses customers' key FAQs when designing their information integration architecture.
Posted: 24 Mar 2011 | Published: 24 Mar 2011

IBM