Data Models 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

E-Guide: Business intelligence: Paving the way for innovation
sponsored by SAP America, Inc.
EGUIDE: Business intelligence and predictive analytics have the potential to revolutionize the way CIOs make decisions and align IT with business goals. By collecting valuable data, CIOs can promote innovative change. Inside this exclusive e-guide, learn how New York City Housing Authority’s CIO used BI and predictive analytics to do just that.
Posted: 02 Nov 2011 | Published: 02 Nov 2011

SAP America, 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

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

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

Top 10 Data Mining Mistakes
sponsored by SAS
WHITE PAPER: In the following paper, we briefly describe, and illustrate from examples, what we believe are the “Top 10” mistakes of data mining, in terms of frequency and seriousness. Most are basic, though a few are subtle. All have, when undetected, left analysts worse off than if they’d never looked at their data.
Posted: 07 Apr 2010 | Published: 07 Apr 2010

SAS

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

Rapid-deployment Solution for Mobile Analytics Visualization
sponsored by Hewlett-Packard Enterprise
WHITE PAPER: In this white paper, discover a rapid-deployment technology for mobile analytics visualization, so you can take full advantage of data visualization capabilities anywhere, at any time. Explore the benefits you'll get with rapid-deployment, and learn how easy it is to get a mobile analytics strategy up and running within two weeks.
Posted: 24 Feb 2014 | Published: 31 Oct 2013

Hewlett-Packard Enterprise

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

Competitive Analysis of Market Leaders in Data Modeling: PowerDesigner, ERwin and ER/Studio
sponsored by Sybase, an SAP company
WHITE PAPER: Read this paper to learn all the factors you need to consider when choosing a data modeling tool. You will learn about the different model types and how each tool measures up to the demanding needs of your company today and in the future. This paper will lay out all the information you need to make a clear decision on data modeling today.
Posted: 09 Jun 2009 | Published: 09 Jun 2009

Sybase, an SAP company