Modeling

PODCAST: While many businesses have purchased and deployed analytics models, these solutions can be challenging to integrate into applications or daily workflows. Listen to this podcast to learn how SAS’s ModelOps approach integrates analytics models with the business process for more consistent innovation and insight.

Posted: 15 Jan 2021 | Premiered: Jan 15, 2021

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: 12 Jul 2020 | Published: 13 Jul 2020

PODCAST: Listen to this podcast to hear Tony Velcich, from Oracle’s Communications Product Management team, discuss the benefits of this solution.

Posted: 01 Oct 2010 | Premiered: Oct 1, 2010

WHITE PAPER: At the core of any BI should be the ability to align business needs with the data infrastructure supporting them. This is almost impossible to do without a data model. Yet many BI implementers do not understand the need for these design components. This paper will examine the major benefits that data models have on BI environments.

Posted: 11 Feb 2010 | Published: 11 Feb 2010

WHITE PAPER: This paper outlines an information architecture (IA) and why it is useful in determining everything from the robustness of IT projects to testing business process scenarios to see if they satisfy the wide-ranging needs of your business. Read this now to learn more about IA, including its basic design, how to start your program and more.

Posted: 17 Apr 2012 | Published: 16 Apr 2012

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

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

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

WHITE PAPER: Learn how Data Modeling supports cloud computing since interaction among the Cloud Service Provider, Cloud Administration and Customer needs to include a well thought out data architecture before a DBMS designed offering in cloud computing is deployed. Continue reading to learn more.

Posted: 19 Oct 2010 | Published: 01 Jun 2010

PRESENTATION TRANSCRIPT: Growing data volumes, diverging data sources, amplified information complexity, and increasingly varied users have made it difficult to take advantage of data as a true corporate asset. In this transcript featuring industry thought leader David Loshin, learn how to turn data complexity into an information advantage.

Posted: 25 Feb 2011 | Published: 25 Feb 2011